From comsat@vpics1 Wed Sep  4 00:27:06 1985
Date: Wed, 4 Sep 85 00:26:57 edt
From: comsat@vpics1.VPI
To: france@opus   (FRANCE,RDJ,JOSLIN,ROACH,FOX)
Subject: From: AIList Moderator Kenneth Laws <AIList-REQUEST@SRI-AI>
Status: R

Received: from sri-ai.arpa by csnet-relay.arpa id a018209; 2 Sep 85 23:17 EDT
Date: Mon  2 Sep 1985 18:59-PDT
Reply-to: AIList@SRI-AI
US-Mail: SRI Int., 333 Ravenswood Ave., Menlo Park, CA  94025
Phone: (415) 859-6467
Subject: AIList Digest   V3 #116
To: AIList@SRI-AI
Received: from rand-relay by vpi; Wed, 4 Sep 85 00:08 EST


AIList Digest             Monday, 2 Sep 1985      Volume 3 : Issue 116

Today's Topics:
  Queries - Parallel LISP Environments & Hypercube Simulators &
    OPS5 in Interlisp & Texture Images & Tax Expertise,
  Philosophy - Intelligence and Generalization,
  Knowledge Representation - Limitations of Frames/Semantic Nets,
  Linguistics - CSLI Reports,
  Expert Systems - Psychiatry

----------------------------------------------------------------------

Date: Tue, 27 Aug 85 15:37:18 EDT
From: Deepak Kumar <kumard%buffalo.csnet@csnet-relay.arpa>
Subject: Parallel LISP Environments


        We are planning to implement a parallel-environment
        simulator in LISP for trying out various control
        metaphors that require parallelism.

        Anyone already having any implementations or
        experiences in using such environments?

        We would appreciate any kind of responses that could
        help in highlighting various aspects of design as well
        as implementation.

        Thanx.

        Deepak.


UUCP   : {cmcl2,hao,harpo}!seismo!rochester!rocksvax!sunybcs!kumard
         ...{allegra,decvax,watmath}!sunybcs!kumard
CSNET  :  kumard@buffalo
ARPA   :  kumard%buffalo@csnet-relay
BITNET :  kumard@sunybcs

------------------------------

Date: 30 Aug 85 13:54:23 EDT (Fri)
From: duke@mitre.ARPA
Subject: Simulators for hypercube architectures


Lisa Sokol (sokol@mitre) and I are investigating the use of parallel
architectures for object-oriented simulations.  We have a large simulation
called the BEM (Battlefield Environment Model) which is written in the
simulation language ROSS, which runs on top of Franz LISP on a VAX.  We
would like to have a hypercube simulator which would help us investigate
strategies for distributing objects in a hypercube.  Our main problem seems
to be the integration of LISP code with the simulators.  Translating the
Lisp into C would be messy at best, even with a translator program.  Another
possibility would be to have Franz LISP running in another process on the
VAX and communicating with the simulator process.  That sounds pretty messy
also, particularly for analyzing the timing since the Lisp is running
outside of the simulator process.  For our purposes, it may be better to
write a Lisp simulator of a hypercube architecture.  Do you know of anyone
who already has such a simulator?  We expect that Lisp will be available on
some hypercube in the next year, and our simulator studies should allow us
to determine how to distribute the objects by that time.


Duke Briscoe
duke@mitre

------------------------------

Date: Mon, 2 Sep 85 00:20:55 cdt
From: neves@wisc-ai.arpa (David Neves)
Subject: OPS5 in Interlisp?

Has anyone translated OPS5 into Interlisp?  If yes, please send me
mail.

David Neves
Computer Sciences Department
University of Wisconsin-Madison

Usenet:  {allegra,heurikon,ihnp4,seismo,uwm-evax}!uwvax!neves
Arpanet: neves@uwvax

------------------------------

Date: Thu 29 Aug 85 14:48:30-PDT
From: BARNARD@SRI-AI.ARPA
Subject: texture images

I am collecting a set of digital images of natural textures.  If you
have any such images, I would appreciate your help.  They could either
be images of single textures (Brodatz-type) or images of natural
scenes constaining several textured surfaces.  I will make the
collection available to the AI community.

Reply to Barnard@SRI-AI.

------------------------------

Date: Thu 29 Aug 85 13:26:29-CDT
From: Charles Petrie <CS.PETRIE@UTEXAS-20.ARPA>
Subject: Tax Expertise Available for Expert System

Prof. Lewis Solomon is a specialist in tax law and is interested in
working with someone on an expert system in that domain.  He would also
like to hear about existing systems.  His US Mail address is:

  George Washington University
  National Law Center
  Washington, D.C. 20052        Phone #(202)676-6753

------------------------------

Date: 28 Aug 85 14:51:00 EDT
From: "CUGINI, JOHN" <cugini@nbs-vms>
Reply-to: "CUGINI, JOHN" <cugini@nbs-vms>
Subject: Intelligence as the ability to apply the distributive property


To wax philosophical for a while and then get down to specifics:

1. A major (the major?) aspect of intelligence is the ability to
see several instances of a thing and then be able to abstract
out common features.  This is terribly handy for information
representation as it allows one to condense, by "factoring out",
the total info.  Nothing really new here - the notion of
"inheritance", based on the is-a relation is a clear example.

2. The whole problem of context seems strongly related - isn't
context simply that which we hold constant over time, until we
are forced to assume something new? - finding the antecedent
of pronouns can be seen as the problem of: given the most
recent n sentences, what (single, common) interpretation allows
me to maximize the number of unchanged assumptions?

3. A big issue then becomes, how rich is the repertoire of
pattern-matching mechanisms?  Put concretely, and blithely
assuming that you can represent anything with lists, given n
lists (Lisp-type if you like), which abstractions are available
for describing (by generalizing about) them, and which of several
applicable abstractions should take precedence?  For example,
is there a Lisp system out there which would abstract over the
following sets of lists the way I suspect would be done by thee
or me?  Any research being done on general-purpose similarity
finding among Lisp lists?

(a b c), (a b c), (a b c)

(a b c), (a b w), (a b q), (a b d e r)

(a b c q), (a b c e), (a b c (d e (w e)))

(a b c), ((a) (b) (c)), (((a)) b c)

(a b c), (aaaa bb ccccc), (aaa b cccc)

(a b c), (A B C), (a B c)

((a b c) (b)), ((a b c d e f) (b c d e)), ((a b (c d) (e f)) (b (c d)))

(a a a), (b b b b b b), (xx xx xx xx)

(2 3 5), (5 6 11), (12 2 14)

(2 3 5), (5 6 11), (12 2 14), (one three four), (3 four 7)

The last set is, of course, somewhat unfair, since it relies on
knowledge of English semantics, and not simply on structural
properties.

John Cugini <Cugini@NBS-VMS>
Institute for Computer Sciences and Technology
National Bureau of Standards
Bldg 225 Room A-265
Gaithersburg, MD 20899
phone: (301) 921-2431

------------------------------

Date: 28 Aug 1985 10:04-EDT
From: Robert.Frederking@CMU-CS-CAD.ARPA
Subject: AI Mag article on KR

        The current (Fall 85) issue of AI Magazine has an article by
Ron Brachman raising one of the issues (lack of definitional
information) that has been bothering me about AI knowledge bases.  He
explains why these capabilities are necessary, and then shows that they
aren't possible in a KR system where prototype information can be
overridden, i.e., where nodes are treated as prototypes containing
default information.

  [Among other points, Brachman shows that a frame/semantic net/
  inheritance network/nonmonotonic representation seems to have the
  following limitations:  it cannot determine automatically where in
  the network to place an ELEPHANT-WITH-THREE-LEGS (or similar composite)
  node; it cannot infer that this is a subclass of elephants, or indeed
  that it has anything to do with elephants; it cannot infer that instances
  have three legs; and it cannot recognize a three-legged elephant as
  an instance of this concept.  My 5-year-old also enjoyed the riddles
  about "What's big and gray, has a trunk, and lives in the trees?"
  (Valid answers in Ron's strawman representation systems are "elephants",
  "giraffes", and "ideas".)  -- KIL]

------------------------------

Date: Wed 28 Aug 85 17:10:02-PDT
From: Emma Pease <Emma@SU-CSLI.ARPA>
Subject: New Reports

         [Excerpted from the CSLI Newsletter by Laws@SRI-AI.]

                            NEW CSLI REPORTS

     Report No. CSLI-85-29, ``Equations, Schemata and Situations: A
   framework for linguistic semantics'' by Jens Erik Fenstad,
   Per-Kristian Halvorsen, Tore Langholm, and Johan van Benthem, and
   Report No. CSLI-85-30, ``Institutions: Abstract Model Theory for
   Computer Science'' by J. A. Goguen and R. M. Burstall, have just been
   published.  These reports may be obtained by writing to David Brown,
   CSLI, Ventura Hall, Stanford, CA 94305 or Brown@SU-CSLI.

------------------------------

Date: Thu, 29 Aug 85 15:49 EST
From: Clarke Thacher  <UKC323%UKCC.BITNET@WISCVM.ARPA>
Subject: Expert Systems In Psychiatry (Responses)

I would like to thank all of the people who responded to my recent
request.  The following is a summary of the responses which I have
received (so far).   I have passed this information to Dr. David Atcher
in our Med. School, and he may be following up on some of these leads.
_______

> Date: 26 August 1985, 14:45:02 GMT
> From: Thomas Rothenfluh                              K715311  at CZHRZU1A
>
> I've read your request in the AIList and like to submit you two hints.
>
> In the last AI Magazine there was an article about AI research at
> the University of Michigan where some research is done in the field
> of expert systems in psychiatry. Upon request, I received a manuscript
> with a short overview about current systems, own work and bibliography:
>    Micheal Feinberg & Robert K. Lindsay
>    "Expert systems in psychiatry"
> (Mental Health Institute, Dept. of Psychiatry, Univ. of Michigan,
> Ann Arbor, MI, 48109-0010)
>
> Another research group around Janet L. Kolodner at the Georgia Institute
> of Technology (School of Information and Computer Science, Georgia
> 30332) is also working on a psychiatric expert system, e.g. see:
>    Kolodner, J.L.: Towards an understanding of the role of experience
>    in the evolution from novice to expert. In: M.J. Coombs. (Ed).
>    Developments in expert systems. London: Academic, 1984.
>
> There are a lot of references in the field of computer-assisted
> diagnosis in psychiatry, however there a only few concerning
> expert systems in a sense that deserves that term.
>
> As I'm working on a dissertation project related to this field
> (a computer model for the diagnostic process of experts in diagnosing
> borderline personality disorders), I would be happy if you could send
> me a collection of other people's answers.
>
>                        Sincerely yours,
>
> Thomas E. Rothenfluh, research assistant
> Konfliktforschungsstelle
> University of Zurich
> Zurichbergstrasse 43
> CH-8044 Zurich
> Switzerland                           (K715311 at CZHRZU1A.BITNET)
_______

> Date: Mon 26 Aug 85 17:12:45-EDT
> From: David.Servan-Schreiber@CMU-CS-C.ARPA
>
> I have developed with a collegue an expert system for the
> pharmacological treatment of depressive disorders called Blue-Box. You
> can find a description of our work in "Computers in Biomedical
> Research", Feb 84 issue. and also in the KSL series published by
> Stanford University (public domain reports).
>
> David
_______

> Date: Tue 27 Aug 85 18:19:24-PDT
> From: Christopher Schmidt <SCHMIDT@SUMEX-AIM.ARPA>
>
>     I don't know much about his work, but Sam Holtzman
> (Holtzman@sumex-aim.arpa) has an expert system which helps infertile
> couples decide what their next move should be.  You could ask him for
> other references at least.
> --Christopher
_______

> Date: Wed, 28 Aug 85 10:14:03 pdt
> From: broder@isi-vaxa (Ben Broder)
>
>     I would be interested in any leads you turn up on Psychiatric
> Expert Systems.  I'm sorry that I don't have any information to give
> you.
>
>     Ben Broder
_______

> Date: Thu 29 Aug 85 11:15:27-PDT
> From: Michael Walker <WALKER@SUMEX-AIM.ARPA>
>
>     You asked on the AIList for pointers to expert systems in
> psychiatry. One developed here at Stanford by Benoit Mulsant and David
> Servan-Schreiber was written up in Computers and Biomedical Research,
> as I recall in 1984 or late 1983.
>
>                     Mike Walker

------------------------------

End of AIList Digest
********************

From csvpi@vpics1 Wed Sep  4 08:36:59 1985
Date: Wed, 4 Sep 85 08:36:52 edt
From: csvpi@vpics1.VPI
To: france@opus   (FRANCE,RDJ,JOSLIN,ROACH,FOX)
Subject: From: AIList Moderator Kenneth Laws <AIList-REQUEST@SRI-AI>
Status: R

Received: from sri-ai.arpa by csnet-relay.arpa id a022810; 3 Sep 85 13:17 EDT
Date: Tue  3 Sep 1985 09:26-PDT
Reply-to: AIList@SRI-AI
US-Mail: SRI Int., 333 Ravenswood Ave., Menlo Park, CA  94025
Phone: (415) 859-6467
Subject: AIList Digest   V3 #117
To: AIList@SRI-AI
Received: from rand-relay by vpi; Wed, 4 Sep 85 08:25 EST


AIList Digest            Tuesday, 3 Sep 1985      Volume 3 : Issue 117

Today's Topics:
  Seminars - Force Dynamics (UCB) & Term Rewriting Systems (SMU) &
    PARLOG (CMU) & Temporal Logic (UT) &
    Speech Recognition (BBN) & NL Processing (BBN),
  Conference - Intelligent Simulation Environments

----------------------------------------------------------------------

Date: Thu, 29 Aug 85 14:12:49 PDT
From: chertok%ucbcogsci@Berkeley (Paula Chertok)
Subject: Seminar - Force Dynamics (UCB)

                    BERKELEY COGNITIVE SCIENCE PROGRAM
                                Fall 1985
                  Cognitive Science Seminar -- IDS 237A

      TIME:                Tuesday, September 3, 11:00 - 12:30
      PLACE:               240 Bechtel Engineering Center
      (followed by)
      DISCUSSION:          12:30 - 1:00 in 200 Building T-4

      SPEAKER:          Leonard Talmy, UCB
      TITLE:            ``Force Dynamics in Language and Thought''


      A semantic category that  has  previously  been  neglected  in
      linguistic  research  is that of ``force dynamics''--how enti-
      ties interact with respect to force.   Included  here  is  the
      exertion  of force, resistance to such a force, the overcoming
      of such a resistance, blockage of  the  expression  of  force,
      removal of such blockage, and the like.

           Though scarcely recognized before, force dynamics figures
      significantly  in  language structure.  It is, first of all, a
      generalization over the traditional notion  of  ``causative'':
      it  places naturally within a single framework not only `caus-
      ing', but also `letting,' as well as a set of notions not nor-
      mally considered in the same context.

           Force dynamics, furthermore,  plays  a  structuring  role
      across a range of language levels.  First, it has direct gram-
      matical  representation.   In  English,  such   representation
      appears not only in subsets of conjunctions, prepositions, and
      other closed-class elements but, most significantly,  also  as
      the  semantic  category  that  the  modal system as a whole is
      dedicated to expressing.   Force  dynamic  patterns  are  also
      incorporated in open-class lexical items, and bring numbers of
      these together into systematic relationships.   Lexical  items
      involved in this way refer not only to physical force interac-
      tions but, by metaphoric extension, also to psychological  and
      social  interactions,  conceived  in  terms  of  psycho-social
      ``pressures.''  In addition, force dynamic principles  can  be
      seen to operate in discourse that is involved with persuasion.
      Such rhetorical interchange (including efforts to exhort, con-
      vince,  or  logically  demonstrate) involves the deployment of
      points to argue for and against conflicting positions.

           Force dynamics is a major conceptual  organizing  system,
      constituting one of four major ``imaging'' systems that I have
      developed which provide an integrated semantic  schematization
      of  a referent scene.  Cognitively, it corresponds to concepts
      within ``naive  physics''  as  well  as  to  ones  in  ``naive
      (social)  psychology,''  and  can  be  contrasted  with modern
      scientific concepts in these domains.

------------------------------

Date: 30 Aug 1985 07:42-EST
From: leff%smu.csnet@csnet-relay.arpa
Subject: Seminars - Rewrite Rules (SMU)

Dr. Franz Winkler
Department of Computer and Information Science
University of Delaware

Improvements of the Completion Algorithm for Bases of Polynomial Ideals
and Rewrite Rule Systems

Time: 1:00 - 2:00 PM Wednesday, September 4, 1985
Place: 315 Science Information Center, SMU, Dallas, Texas

The Knuth-Bendix completion procedure for rewrite rule systems is one
of wide applicability in symbolic and algebraic computation.  Attempts
to reduce the complexity of this completion algorithm are reported in
the literature.  Already in their seminal 1967 paper Knuth and Bendix
have suggested to keep all the rules intereduced during the execution
of the algorithm.  Huet has presented a version of the completion
algorithm in which every rewrite rule is kept in reduced form with
respect to all the other rules of the system.  Using an idea of
Buchberger's for the completion of bases of polynomial ideals we have
proposed in 1983 a criterion for detecting "unnecessary" critical
pairs.  If a critical pair is recognized as unnecesary then one need
not apply the costly process of computing normal forms to it.  Only
recently have we given a proof that these approaches can be combined.
I.e., it is is possible to keep all the rewrite rules interreduced
and still use a criterion for eliminating unnecesary critical
pairs.

_______

Speaker: Leo Bachmair
Department of Computer Science
University of Illinois at Urbana-Champaign

Topic: Termination of Rewrite Rule Systems

Time: 3:00-4:00 P. M.
Wednesday, September 4, 1985
Place: 315 Science Information Center, SMU, Dallas, Texas

Applications of rewrite rule systems to programming languages,
specifications of abstract data types, theorem proving, algebraic
simplification, etc. often depend on the termination of the given
systems and various termination methods have been developed in recent
years.  Termination, in general, is a nondecidable property for rewrite
systems, however.

We will describe several termination methods.  Of particular practical
importance are methods based on the use of simplification orderings.
These include orderings that extend a given partial ordering on operator
symbols (a precedence ordering) to terms.  Examples are the
recursive path ordering and the recursive decomposition ordering.
Other techniques apply to rewrite systems satisfying certain syntactic
restrictions like linearity.  We will also describe recent results on
termiantion of associative-commutative rewrite systems.

------------------------------

Date: 22 Aug 1985 1043-EDT
From: Lydia Defilippo <DEFILIPPO@CMU-CS-C.ARPA>
Subject: Seminar - PARLOG (CMU)


Keith Clark will visit CMU on August 29.
He is a reader and senior research fellow at Imperial College,
London.  He has been actively engaged in logic programming research
since 1975.

Speaker:  Keith Clark
          Imperial College, London
Date:     Thursday, August 29
Time:     3:30 pm
Place:    8220
Topic:    PARLOG: Parallel Programming in Logic

      PARLOG is a Horn clause logic programming language designed
      for efficient parallel implementation, including both and-
      parallel and or-parallel evaluation mechanisms.  The talk
      will include a summary of the history of parallel logic
      programming.  Then the features of PARLOG will be presented
      by means of examples; and some aspects of the implementation
      outlined.

------------------------------

Date: Tue, 27 Aug 85 14:06:18 cdt
From: julie@ut-ratliff.UTEXAS.EDU (Julie Barrow)
Subject: Seminar - Temporal Logic (UT)


                       University of Texas
                  Computer Sciences Department
                           COLLOQUIUM

SPEAKER:  Amir Pnueli
                 Weizmann Institute

TITLE:     Temporal Logic - Global vs. Compositional

DATE:     Thursday, August 29, 1985
PLACE:    PAI 3.14
TIME:      4-5 p.m.

                       We present the general  framework  of  Temporal
               Logic  as  a formalism for specifications, verification
               and develpment of reactive  systems.   Recent  enhance-
               ments required by a compositional approach will be dis-
               cussed.

------------------------------

Date: 20 Aug 1985 16:08-EDT
From: AHAAS at BBNG.ARPA
Subject: Seminars - Speech Recognition and NL Processing (BBN)

           [Forwarded from the MIT bboard by SASW@MIT-MC.]


  There will be an AI seminar on Monday August 26 at 10:30 in the second floor
conference room at 10 Moulton St. Jean-Francois Cloarec and Michel Gilloux
of Centre Nationale d'etudes des Telecommunications (CNET), Lannion, France
will speak. Their abstract:

  SERAC : An Expert System for Acoustic-Phonetic Speech Recognition

We present a knowledge based approach to speech  recognition  at  the
phonetic  level.  SERAC  is  a  production system generating phonetic
hypotheses for continuously spoken french sentences.
We  give  the  motivations for using such an approach and we describe
the knowledge representation language.
Then  we  present  the  knowledge  base  and  report some preliminary
results.


There will be another talk by Karen Sparck Jones the next morning,
August 27th, at 10:00 in the 2nd floor conference room. Her abstract:

             Natural Language Processing Research
                            at the
         Computer Laboratory, University of Cambridge

The talk will outline recent and current work at the
Laboratory. This includes both research with a semantic
stimulus and research driven by parsing issues. The semantic
work is concerned with interpretation problems like reference
resolution, and with techniques for representation and
inference involving general as well as domain knowledge, in
the context of such tasks as database query and construction,
paraphrase, and indexing. The parsing work includes projects
on grammar construction, morphological analysis, and the use
of a large machine-readable dictionary, and research on finite
state techniques for compositional interpretation and on
robust phrase-based parsing strategies.

------------------------------

Date: 30 Aug 1985 07:37-EST
From: leff%smu.csnet@csnet-relay.arpa
Subject: Conference - Intelligent Simulation Environments

1986 SCS MultiConference January 23-25 1985
Bahia Hotel
San Diego, California

Intelligent Simulation Environments

An expert system for simulation model selection
Delphi-based distributed expert decision making
Expert systems and user decisionf in simulation studies
Artificial Intelligence and Rapid Prototyping

Professional Development Seminar
An Introduction to Prolog
Instructor: Dr. Heimo H. Adeslsberger

For more info write to:
SCS, P. O. Box 17900 San Diego, CA 92117 (619) 277-3888

------------------------------

End of AIList Digest
********************

From LAWS@KL.SRI.COM Fri Dec 18 03:46:28 1987
Mail-From: LAWS created at  5-Sep-85 11:22:08
Date: Thu  5 Sep 1985 11:12-PDT
From: AIList Moderator Kenneth Laws <AIList-REQUEST@SRI-AI>
Reply-To: AIList@SRI-AI
Us-Mail: SRI Int., 333 Ravenswood Ave., Menlo Park, CA  94025
Phone: (415) 859-6467
Subject: AIList Digest   V3 #118
To: AIList@SRI-AI
Resent-Date: Fri 18 Dec 87 00:08:29-PST
Resent-From: Ken Laws <Laws@KL.SRI.COM>
Resent-To: isr@vtopus.CS.VT.EDU
Resent-Message-Id: <12359392093.20.LAWS@KL.SRI.COM>
Status: R


AIList Digest            Thursday, 5 Sep 1985     Volume 3 : Issue 118

Today's Topics:
  Query - CUSP/MANDALA,
  AI Tools - OPS5 in Interlisp & Prolog and Lisp,
  Expert Systems - FDA Approval for Expert Systems,
  Humor - Re: Good News and Bad News,
  Games - Chess Openings & Computers Cheat at Chess?

----------------------------------------------------------------------

Date: 4 Sep 1985 10:19-EST
From: leff%smu.csnet@csnet-relay.arpa
Subject: CUSP/MANDALA

I found this in net.ai.  I also have attached a response for him/her.
Can you either get it back to him or put in AIList?  (I checked the
curent UUCP map and find no record of this site.)


  /* Written 10:38 am  Aug 30, 1985 by jjd@oce-rd2.UUCP in smu:net.ai */
  /* ---------- "CUSP/MANDALA" ---------- */

   Can anybody tell me about CUSP, Mandala and/or other
   End User Languages.

   CUSP = Customer Programming Language
   Mandala = Pictoral Language


Response:

Electronics Week, November 19, 1984
ICOT Details Its Progress.  Reports on work done on prolog
machines, a new logic language called Mandala. page 20

%A Robert Haavind
%T Playing to win a New Generation
%J High Technology
%D AUG 1985
%P 63-65
%K prolog lisp machine KL1 mandala ICOT
%X describes new parallel and other novel architectures being developed
in Japan including those for AI

------------------------------

Date: Tue 3 Sep 85 08:18:36-PDT
From: Mark Richer <RICHER@SUMEX-AIM.ARPA>
Subject: OPS5 in Interlisp

Someone asked about OPS5 in Interlisp; I picked up a brochure at IJCAI
on a version that is for sale.

SAIC (Science Applications International Corporation)
First package (1 disk, object code only, and 1 user's manual) $2000
additional packages $500 each
source code $5000 (interlisp)

For more information, write:

saic, p.o. box 2341, La Jolla, CA 92038  [attention: Linda Anderson]


Mark

------------------------------

Date: Mon 26 Aug 85 00:57:43-PDT
From: Andy Freeman <ANDY@SU-SUSHI.ARPA>
Subject: Prolog and Lisp

From: Carl E. Hewitt <HEWITT@MIT-MC.ARPA>

    Prolog (like APL before it) will fail as the foundation for Artificial
    Intelligence because of competition with Lisp.  There are commercially
    viable Prolog implementations written in Lisp but not conversely.

From: PEREIRA@SRI-AI.ARPA

    1. (the least interesting one) All the so-called commercially viable
    Prolog systems in Lisp are not really Prolog systems written IN Lisp,
    but rather Prolog systems written FOR Lisp machines. [They are
    microcoded and have good support for tagged data types.]  Without
    those machine-level operations, those Prolog systems would run too
    slow and use too much memory to be useful for serious Prolog
    programming.

Hewitt's message alludes to an apparent difference between Lisp and
Prolog which Pereira's response ignores.  The response also implies
that Prolog in Lisp is inherently slow.  A previous message from
Pereira (Prolog Digest Volume 1, Issue 21) correctly emphasizes that
speed is important.  (This issue and the ones following are quite
informative.)

From: PEREIRA@SRI-AI.ARPA
    What Prolog "does" is not just to make certain deductions in a certain
    order, but also MAKE THEM VERY FAST.

One of the differences between Lisp and Prolog is in how efficiently
they support embedded languages.  Special purpose languages, like
special purpose hardware, are an important tool.  Prolog has not
demonstrated its ability to support them (apart from Logic in Prolog,
of course), Lisp has.

One example of this is the Prolog interpreter Foolog by Martin
Nilsson* in that Prolog Digest issue.  Written in 2 pages of Maclisp,
it runs about 75% as fast as interpreted DEC-10 Prolog; a later
version was supposed to be marginally faster.  Naturally, Foolog
doesn't include a debugger and other system functions or all of the
user utilities in the Prolog library (but they're written in
Prolog...), but it does support cut, call, bagof, arithmetic, and I/O.
A simple compiler apparently was written later that generated code 25%
as fast as compiled DEC-10 Prolog.  After that message, I lost track
of Foolog.  Nilsson described it as a "toy"; I doubt much came of it.

Obviously the first 50% is the easiest and one shouldn't ignore the
environment.  (Both Prolog and Lisp encourage powerful environments.
At that time, DEC-10 Prolog was fairly mature.)  When Prolog is the
appropriate language, then one should use the best Prolog available.
When you need a special language however, Lisp is hard to beat.

If logic is by far the most important language for AI, Lisp may be in
trouble.  If it isn't, pure Prolog environments are in trouble.

-andy

ps - The speed advantage of special Lisp hardware is shrinking.  I
assume that the same is true for Prolog.

* Nilsson was one of the developers of LM-Prolog.

------------------------------

Date: Tuesday,  3 Sep 1985 11:40:22-PDT
From: billingslea%lite.DEC@decwrl.ARPA  (Mark Billingslea `Lock and Load!')
Subject: FDA Approval for Expert Systems

This mail was sent to me, from Germany.  Thought I would pass it on to you
for review.

-Mark

From: GYPSC2::ROLLER "Christian E. Roller - PSC Muenchen - RTO"
      1-SEP-1985 02:51
To:   COORS::BILLINGSLEA
Subj: Some news for AI digest

<><><><><><><><>  T h e   V O G O N   N e w s   S e r v i c e  <><><><><><><><>
 Edition :  897               Friday 30-Aug-1985            Circulation :   365
 Send subscription requests, backissue requests and letters to MAGIC::VNS

[TAYLOR         ]
[Nashua, NH, USA]

            Some AI systems may need FDA approval

    Expert systems come within the FDA ambit to the extent that
    they supplement doctor's work, according to Richard Beutal, a
    Washington D.C. attorney specializing in the legal aspects of
    technology.

    An expert system may be defined as a computer program that
    embodies the expertise of one or more human experts in some
    domain and applies this knowledge to provide inferences and
    guidance to a user. some of the earliest and most
    sophisticated systems were developed for medical diagnosis:
    MCYIN, EMCYIN, CADUCEUS AND ATTENDING. [There are several
    more in use in Japan. --mjt]

    Beutal called attention to proposed FDA regulations that, if
    implemented, would require medical expert systems to obtain
    FDA pre-marketing approval. Given that FDA approval for what
    are class 3 devices could take up to 10 years and that
    reclassifying such devices can take almost as long, these FDA
    regulations would virtually cause investment to dry up.
      {Government Computer News Aug 16, 1985}

    [...]

------------------------------

Date: Mon, 26 Aug 85 10:50:13 EDT
From: Cymru am Byth! <bradford@AMSAA.ARPA>
Subject: Re:  Good news and bad news, Mr. Wizard...


  From: straz@AQUINAS.THINK.COM@MIT-CCC, Steve Strassmann
  But the study also showed that TV scientists are killed more often than
  soldiers, private eyes, and police officers."


WOW!  Just how often is a TV scientist likely to be killed?

Not more than once, I hope!

                                        PJB


  "So you think being drunk feels good -- tell that to a glass of water!"

------------------------------

Date: Mon, 26 Aug 85  8:15:37 EDT
From: Bruce Nevin <bnevin@bbncch.ARPA>
Subject: chess openings


It is not clear whether a human expert studying the Caro-Kann defense for five
weeks memorizes 50,000 openings or generalizes in ways that are difficult
in conscious, verbal terms to articulate.  Indeed, isn't there evidence that
even human memorizing entails kinds of generalization that are not present in
simple storage of a table for later lookup?

Seems to me this points to the kernel issue of machine learning,
and a hard nut at that!

  [For recent progress in chess subpattern learning see Albrecht Heeffer's
  "Validating Concepts from Automated Acquisition Systems", IJCAI-85, pp.
  613-615.  -- KIL]

------------------------------

Date: Wed, 28 Aug 85 09:33:14 pdt
From: Tom Dietterich <tgd%oregon-state.csnet@csnet-relay.arpa>
Subject: Computers Cheat at Chess?

I enjoyed Stuart Cracraft's notes concerning the use of tree searching in
chess programs.  Amidst all of the hype about "shallow" versus "deep" expert
systems, it is interesting to note that most computer chess systems should
be classified as "deep".  Once they get past the opening moves, they play
every game from "first principles"!

--Tom

------------------------------

End of AIList Digest
********************

From comsat@vpics1 Thu Sep 12 22:05:53 1985
Date: Thu, 12 Sep 85 22:05:49 edt
From: comsat@vpics1.VPI
To: france@opus   (FRANCE,RDJ,JOSLIN,ROACH,FOX)
Subject: From: AIList Moderator Kenneth Laws <AIList-REQUEST@SRI-AI>
Status: R

Received: from sri-ai.arpa by csnet-relay.arpa id a017028; 6 Sep 85 15:05 EDT
Date: Fri  6 Sep 1985 10:41-PDT
Reply-to: AIList@SRI-AI
US-Mail: SRI Int., 333 Ravenswood Ave., Menlo Park, CA  94025
Phone: (415) 859-6467
Subject: AIList Digest   V3 #119
To: AIList@SRI-AI
Received: from rand-relay by vpi; Thu, 12 Sep 85 21:44 EST


AIList Digest             Friday, 6 Sep 1985      Volume 3 : Issue 119

Today's Topics:
  Seminars - Flavor-Based Knowledge Representation (CSLI) &
    Misconceptions about Basketball Statistics (UCB) &
    Haptic Object Recognition (UPenn) &
    Scalar Implicature (UPenn) &
    NL Menu Interfaces to Databases (SMU),
  Conference - Army AI and Robotics

----------------------------------------------------------------------

Date: Wed 4 Sep 85 17:17:57-PDT
From: Emma Pease <Emma@SU-CSLI.ARPA>
Subject: Seminar - Flavor-Based Knowledge Representation (CSLI)

         [Excerpted from the CSLI Newsletter by Laws@SRI-AI.]


                 ``FORK: A Flavor-Based Environment for
               Object-oriented Knowledge Representation''
   C. Beckstein, G. Goerz, University Erlangen-Nuernberg, West Germany
            2:15, Thursday, September 5, Ventura Seminar Room

      Most object-oriented extensions of LISP provide only marginal
   support for the purpose of knowledge representation. In particular,
   there are only poor means---if any---for specifying meta-information
   about attributes of objects such as typed domains, methods for
   determining values (demons), multiple-valued attributes and explicit
   control of inheritance.  Furthermore, they usually don't offer
   adequate utilities for handling multiple perspectives, retrieving
   objects through patterns of characteristic features, and maintaining
   structural relations (integrity constraints) in and between objects.
   FORK is an attempt to extend Flavors, an object-oriented extension of
   LISP, by adding features which are well known from frame-like systems
   with the advantage of keeping a systematic distinction between classes
   and instances. The procedural knowledge is attached to classes either
   in the usual sense of methods as functions or in the form of (forward
   chaining) rule sets. In addition, FORK offers a programming
   environment to support users in the construction and maintenance of
   large, hybrid knowledge bases.

------------------------------

Date: Wed, 4 Sep 85 13:43:19 PDT
From: chertok%ucbcogsci@Berkeley (Paula Chertok)
Subject: Seminar - Misconceptions about Basketball Statistics (UCB)

                          BERKELEY COGNITIVE SCIENCE PROGRAM
                                      Fall 1985
                        Cognitive Science Seminar -- IDS 237A

            TIME:                Tuesday, September 10, 11:00 - 12:30
            PLACE:               240 Bechtel Engineering Center
              (followed by)
            DISCUSSION:          12:30 - 1:30 in 200 Building T-4

            SPEAKER:          Amos  Tversky,  Department  of   Psychology,
                              Stanford University

            TITLE:            ``Misconception  of  Chance   Processes   in
                              Basketball''

            We investigate the origin and the validity of  common  beliefs
            regarding ``the hot hand'' and ``streak shooting'' in the game
            of basketball.  Basketball players  and  fans  alike  tend  to
            believe  that  a player's chance of hitting a shot are greater
            following a hit than following a miss on  the  previous  shot.
            However, detailed analyses of the shooting records of the Phi-
            ladelphia 76ers provided no evidence for a  positive  correla-
            tion  between the outcomes of successive shots.  The same con-
            clusions emerged from free-throw records of  the  Boston  Cel-
            tics,  and  from a controlled shooting experiment with the men
            and women of Cornell's varsity teams.  The outcomes of  previ-
            ous  shots  influenced  Cornell  players'  predictions but not
            their preformance.   The  belief  in  the  hot  hand  and  the
            ``detection''  of streaks in random sequences is attributed to
            a general misconception of  chance  according  to  which  even
            short random sequences are thought to be highly representative
            of their generating process.

------------------------------

Date: Thu, 5 Sep 85 20:56 EDT
From: Tim Finin <Tim%upenn.csnet@csnet-relay.arpa>
Subject: Seminar - Haptic Object Recognition (UPenn)


HAPTIC OBJECT RECOGNITION:  WHAT CAN WE LEARN FROM HUMANS FOR MACHINE
PERCEPTION AND MANIPULATION.

Susan Lederman, Psychology Department, Queen's University in Kingston, Canada

2pm Friday, September 6, 216 Moore School, University of Pennsylvania

  We  shall  present  our  investigation  of  haptic  object  recognition which
concerns with what we call "knowledge based control of  Human  hand  movements.
The "knowledge based" hand movements are directed by the observer's goal.  This
implies an analysis of hand movements at the cognitive level rather than  at  a
biomechanical  or neutral level.  Some exploratory hand movement procedures are
being suggested.

------------------------------

Date: Tue, 3 Sep 85 15:04 EDT
From: Tim Finin <Tim%upenn.csnet@csnet-relay.arpa>
Subject: Seminar - Scalar Implicature (UPenn)

                             DISSERTATION DEFENSE

                        A Theory of Scalar Implicature

                               Julia Hirschberg

                             10:00am Sept 4 1985
                 216 Moore School, University of Pennsylvania

Determining what an utterance conveys, beyond its semantic import, is
an important goal of natural-language processing.  This thesis first
proposes a definition of one type of non-logical inference, Gricean
conversational implicature.  Within this framework, it defines a class
of conversational implicature, scalar implicature, revising and
extending work by Horn (1972), Harnish (1979), and Gazdar (1979).  A
theory of scalar implicature is proposed based upon an analysis of
naturally occurring data.  A representation of the phenomenon is
developed, as are algorithms for calculating licensed implicatures.  An
application to computer-human question-answering is discussed, as are
other potential uses in natural-language generation and understanding.

------------------------------

Date: 5 Sep 1985 11:14-EST
From: leff%smu.csnet@csnet-relay.arpa
Subject: Seminar - NL Menu Interfaces to Databases (SMU)

Speaker: Dr. Craig W. Thompson, Texas Instruments, Inc.
Topic: Menu-Based Natural Language Interfaces to Databases

Time: 3:00-4:00 p. m., Wednesday, September 11, 1985
Place: 315 SIC SMU, Southern Methodist University, Dallas, Texas

Menu-based natural language as implemented in the NLMenu system,
provides useful near-term solutions to a number of problems that
affect conventional natural language interfaces to databases.
This talk overviews our research on menu-based natural language,
describing
1) the basic NLMenu approach
2) advantages of the approach including ease-of-use for end users
and low cost for interface designers
3) applications of the approach for database updates, request for
business graphs and map displays, and mixed
dbms and keyword based informaiton retrieval queries.
The talk ends with research directions related to this new approach.

------------------------------

Date: Thu, 5 Sep 85 11:46:41 EDT
From: MAJ Kenneth Rose (Ft. Benj. Harrison) <krose@BRL.ARPA>
Subject: Conference - AI and Robotics

The U.S. Army Training and Doctrine Command is sponsoring an
artificial intelligence and robotics symposium in conjunction
with the American Defense Preparedness Association on November
6th-7th in Austin, Texas.  The pupose is to afford members of
industry and the acedemic research community an opportunity to
respond to Army areas of technical interest as described in the
call for papers.  A more specific description of Army interests
is in preparation for distribution at the symposium.  The agenda
for the symposium follows.  For more information, contact Colonel
Bruce Holt at--

    American Defense Preparedness Association
    Rosslyn Center, Suite 900
    1700 North Moore Street
    Arlington, VA  22209
*****************************************************************

         ARTIFICIAL INTELLIGENCE AND ROBOTICS SYMPOSIUM
                6-7 November 1985, Austin, Texas

                             AGENDA

Tuesday, 5 November

1800-    REGISTRATION, Wyndam Hotel, Austin, Texas.
2000

2030     PRE-SYMPOSIUM MEETING FOR SPEAKERS, Wyndam Hotel.  Room
         location to be announced.

Wednesday, 6 November

0700     REGISTRATION, Wyndam Hotel.

                         OPENING SESSION

0800     INTRODUCTORY REMARKS, Major Kenneth H. Rose, Chief of
         Artificial Intelligence and Robotics, US Army Soldier
         Support Center, Sessions Chairman.

0805     PURPOSE OF CONFERENCE, Major General Maurice O. Edmonds,
         Commander, US Army Soldier Support Center, Conference
         Chairman.

0815     KEYNOTE ADDRESS, Lieutenant General Robert L. Moore,
         Deputy Commanding General for Research, Development, and
         Acquisition, US Army Materiel Command.

0925     US ARMY ROBOTICS DEVELOPMENT DIRECTIONS, Mr. Richard
         Vitali, Deputy Chief of Staff for Technology Planning
         and Management, Headquarters, US Army Materiel Command.

                      SESSION I - ROBOTICS

0950     Mobile Robots for Surveillance, Reconnaissance, and
         Manipulative Missions: A Survey of Current Systems.
         Mr. Harvey B. Mieieran, H. B. Meieran Associates.

1015     Technology Development in Intelligent Machine Systems.
         Mr. Thomas G. Bartholot, Odetics, Inc.

1105     Loading, Assembling, and Packaging of Ammunition:
         Applying Flexible Automation in the Future to Solve the
         Problems of the Past.  Mr. Vernon L. Mangold, KOHOL, Inc.

1130     Control of a Multi-Robot Processing Line Using
         Artificial Intelligence.  Mr. James M. McNair, GA
         Technologies.

1300     ROMAC Muscle Powered Mobile Robots.  Mr. Guy Immega,
         MacDonald Dettwiler and Associates, Ltd., (Canada) and
         Mr. Harvey B. Meieran, HB Meieran Associates.

                SESSION II - AUTONOMOUS VEHICLES

1325     Abstractions to Represent the Plan of an Autonomous Land
         Vehicle.  Dr. Theodore A. Linden, Advanced Information &
         Decision Systems.

1350     A Planning System for Autonomous Land Vehicles: An
         Overview of the Hughes System.  Dr. David Y. Tseng,
         Hughes Aircraft Company.

1415     A Land Vehicle Navigation System Supported by a Digital
         Map Data Base.  Mr. Walter B. Zavoli, Etak, Inc.

1500     Obstacle Avoidance Simulation for Autonomous Land
         Vehicles.  Dr. Theodore A. Linden, Advanced Information
         & Decision Systems.

1525     An Incremental Path Toward Autonomous Vehicles.  Mr.
         Jack Harper, Robot Defense Systems, Inc.

1550     Robot Combat Vehicles: Synchronizing Technology and
         Applications.  Mr. R. G. Diaz, General Dynamics Land
         Systems Division.

1615     Remote Control Weapons Platforms.  Mr. C. Ron Clouser,
         Robot Defense Systems, Inc.

1640     Robotic Ranger: Recent Testbed Results/Path to Autonomy.
         Mr. Jerome Kirsch, Grumman Corporation.  (PROPRIETARY
         INFORMATION: US GOVERNMENT PERSONNEL ONLY)

1800-    RECEPTION BUFFET, Wyndam Hotel.
2000

Thursday, 7 November

0800     Design of a Lightweight, Full Mobility Vehicle.  Mr.
David D. Wright, Unique Mobility, Inc.

              SESSION III - KNOWLEDGE-BASED SYSTEMS

0825     Expert System for Logistics Analysis.  Mr. William O.
         Hedgepeth, US Army Logistics Center.

0850     Relevant Help, User Modeling, and Reasoning Under
         Uncertainty.  Dr. Joseph Dempsey, RCA.

0915     A Software Architecture for Realtime, Embedded Expert
         Systems.  Dr. Kenneth R. Whitebread, Honeywell, Inc.

1000     Stochastic Resources Allocation for Command and Control.
         Dr. Marc D. Diamond, FMC Corporation and Ms. Olivia M.
         Carducci, Carnegie-Mellon University.

1025     Knowledge Integrity Maintenance: Quality Assurance in
         Knowledge System Development.  Dr. E. Webb Stacey, Jr.,
         Scientific Systems, Inc.

                SESSION IV - COMMAND AND CONTROL

1050     Embedding AI Systems Into Command and Control
         Applications.  Ms. Sharon Storms, Ford Aerospace and
         Communications Corporation.

1115     A Knowledge-based System Approach for Enhanced Crisis
         Action Planning.  Ms. Ina Ghaznavi-Collins, GTE
         Government Systems.

1300     Intelligent Tactical Display.  Mr. James R. Richardson,
         Symbolics, Inc. and Captain Bill Johnson, US Army Armor
         Center.

                  SESSION V - NATURAL LANGUAGE

1325     A Natural Language Understanding System for Maneuver
         Control.  Mr. Isaac Fajerman, US Army Communications-
         Electronics Command, and Dr. Abe Lockman, Horizon
         Information Systems.

1350     A Speech Understanding Testbed for Command and Control
         Dialogs.  Dr. Richard Kittredge, Odyssey Research
         Associates and Mr. Isaac Fajerman, US Army
         Communications-Electronics Command.

                      SESSION VI - TRAINING

1415     A Mark 45 Maintenance Advisor.  Mr. Dick Grommes, FMC
         Corporation.

1440     The Design of a Generic Intelligent Trainer.  Mr. Philip
         Underwood, Lockheed Missiles and Space Company.

PAPERS TO BE PUBLISHED IN SYMPOSIUM PROCEEDINGS.

Project PERICLES: The Use of Artificial Intelligence in Assisting
the Provision of Legal Services.  Harvard University Law School.

------------------------------

End of AIList Digest
********************

From comsat@vpics1 Thu Sep 12 22:32:12 1985
Date: Thu, 12 Sep 85 22:32:06 edt
From: comsat@vpics1.VPI
To: france@opus   (FRANCE,RDJ,JOSLIN,ROACH,FOX)
Subject: From: AIList Moderator Kenneth Laws <AIList-REQUEST@SRI-AI>
Status: R

Received: from sri-ai.arpa by csnet-relay.arpa id a009469; 8 Sep 85 20:04 EDT
Date: Sun  8 Sep 1985 16:27-PDT
Reply-to: AIList@SRI-AI
US-Mail: SRI Int., 333 Ravenswood Ave., Menlo Park, CA  94025
Phone: (415) 859-6467
Subject: AIList Digest   V3 #120
To: AIList@SRI-AI
Received: from rand-relay by vpi; Thu, 12 Sep 85 22:19 EST


AIList Digest             Monday, 9 Sep 1985      Volume 3 : Issue 120

Today's Topics:
  Queries - Source Licenses for Common Lisp & Semantic Net Graphics &
    Krypton & Children's Story Generator,
  AI Tools - Prolog and Lisp,
  Psychology - Misperception of Probability,
  Public Service - Trojan Horses

----------------------------------------------------------------------

Date: Thu, 5 Sep 85 15:23 MST
From: May@HIS-PHOENIX-MULTICS.ARPA
Reply-to: May%pco@CISL-SERVICE-MULTICS.ARPA
Subject: Source Licenses for Common Lisp

We are interested in porting Common Lisp to our large system hosts
and are looking for software houses who are interested in selling
source licenses for Common Lisp that is written in either Pascal
or, preferably, C.  If you know of any, please send whatever
information you can to me and I will post the responses here in
the list. Thanks. Bob May

May%pco @ cisl-service-multics

------------------------------

Date: Thu, 5 Sep 85 21:18:31 edt
From: Brad Miller  <miller@rochester.arpa>
Subject: Wanted: Graphics Software for 3600 (Semantic Nets)

I'm doing a semantic parser, and just for hacks, want to display the
output graphically as a Semantic Net. Anyone out there hack anything
similar for the Symbolics FLAVOR system? (or the TI explorer, or LMI,
or any other degenerate case of MIT's LM) I'm a novice to this sort of
graphics, so anything likely (say a program that displays ATNs) would
be fine! I just want to get a better grasp on this stuff than the provided
examples give....

Brad Miller
miller@ur-seneca.rochester.arpa
University of Rochester CS dept.

------------------------------

Date: 6 Sep 85 09:29:00 EDT
From: "CUGINI, JOHN" <cugini@nbs-vms>
Subject: Krypton


In the October 1983 issue of IEEE's Computer, there was an
article called "Krypton: A Functional Approach to Knowledge
Representation" by Ronald Brachman, Richard Fikes, and
Hector Levesque.  It described work in progress.  Does anyone
out there know what became of this effort?  Any follow-up
articles, etc??

John Cugini <Cugini@NBS-VMS>
Institute for Computer Sciences and Technology
National Bureau of Standards
Bldg 225 Room A-265
Gaithersburg, MD 20899
phone: (301) 921-2431

------------------------------

Date: 7 Sep 85 21:04:13 EDT
From: Steve.Hoffmann@CMU-CS-K
Subject: Children's story generator

           [Forwarded from the CMU bboard by Laws@SRI-AI.]

Can anyone give me a reference to a story-generation program, I believe from
Schank's group at Yale, which tells stories about such characters as Joe Bear
and Irving Bird?  Also, any pointers to other story generation would be
appreciated.  Thank you.

------------------------------

Date: Fri, 6 Sep 1985  08:14 EDT
From: Hewitt@MIT-MC.ARPA
Subject: Prolog and Lisp

I would like to respond to the message from Andy Freeman who sent the
following:

    From: Carl E. Hewitt <HEWITT@MIT-MC.ARPA>

        Prolog (like APL before it) will fail as the foundation for Artificial
        Intelligence because of competition with Lisp.  There are commercially
        viable Prolog implementations written in Lisp but not conversely.

        [...]

I believe that the Prolog implementations on Common Lisp will be just
as efficient as the stand-alone Prolog implementations.  However, it
is not possible to make a commercially viable Common Lisp
implementation on Prolog.  This means that any good software written
for a stand-alone Prolog system will soon appear on the Lisp Systems
but NOT vice versa.  Therefore the stand alone Prolog systems will
always have impoverished software libraries by comparison with the
Common Lisp systems and will not be commercially viable in the long
run.

------------------------------

Date: Wed 4 Sep 85 21:17:20-PDT
From: Donald Henager <HENAGER@SU-SUSHI.ARPA>
Subject: Misperception of Probability

         [Forwarded from the Stanford bboard by Laws@SRI-AI.]

The October issue of Science 85 has an interesting article on people's
mistaken view of probability.  It starts with the results of an experiment
in which people were drilled about the advantages of seat belts, then
agreed that seat belts were great, and then drove away without their seat
belts fastened.  It goes on to say:

"If you think the apparent irrationality of Slovic's subjects frustrated him,
imagine how people in the nuclear power business must feel.  [This is] the
same general public whose concern for the safety of nuclear reactors -- which
have claimed a total of three lives in accidents in the last 30 years --
brought the industry to a virtual standstill.  It's the same general public
that smokes billions of cigarettes a year while banning an artificial
sweetner because of a one-in-a-million chance that it might cause cancer;
the same public that eats meals full of fat, flocks to cities prone to
earthquakes, and goes hang gliding while it frets about pesticides in food,
avoidsthe ocean for fear of sharks, and breaks into a cold sweat on airline
flights.
        "In short, we the general public are irrational, uninformed, super-
stitious, even stupid.  We don't understand probability, are biased by the
news media, and have a fear of some technologies that borders on the
primeval."

It's an interesting article about how people think about probability and
in particular points out some catchy statistics about what is and isn't
dangerous to your life span.  If you can get a copy, read it.

Don

  [Although I have retitled this message "Misperception of Probability",
  articles by Amos Tversky (and cited by Paul Cohen) have stressed that
  people seem to base judgements on prototype similarity rather than on
  probability, even when the "priors" needed for probabilistic reasoning
  are presented as the major component of a problem specification.  Given
  that people >>want<< to reason in this manner, the misperception involved
  may be that of the scientific community in assuming that people are
  trying to reason probabilistically and that they are getting it wrong.
  There may be valid epistemological reasons (as well as computational
  ones) for prototype-based pattern recognition and reasoning.  -- KIL]

------------------------------

Date: 05 Sep 85 14:37:38 EDT (Thu)
From: Marshall D. Abrams <abrams@mitre.ARPA>
Subject: WARNING !!       [A Trojan Horse Bites Man]

         [Forwarded from the Stanford bboard by Laws@SRI-AI.]
       [Forwarded from the Info-Atari bboard by MRC@SIMTEL20.]
       [Forwarded to the Info-Atari bboard by Malpass@LL-SST.]

Today's Wall St. Journal contained the following article.  I think
it is of enough potential significance that I'll enter the whole thing.
In addition to the conclusions it states, it implies something about
good backup procedure discipline.
        In the hope this may save someone,
                Don Malpass

                ******************************************
                        (8/15/85 Wall St. Journal)
                                ARF! ARF!
        Richard Streeter's bytes got bitten by an "Arf Arf," which isn't
a dog but a horse.
        Mr. Streeter, director of development in the engineering department
of CBS Inc. and home-computer buff, was browsing recently through the
offerings of Family Ledger, a computer bulletin board that can be used by
anybody with a computer and a telephone to swap advice, games or programs -
or to make mischief.  Mr. Streeter loaded into his computer a program that
was billed as enhancing his IBM program's graphics; instead it instantly wiped
out the 900 accounting, word processing and game programs he had stored in
his computer over the years.  All that was left was a taunt glowing back
at him from the screen: "Arf! Arf! Got You!"
"HACKERS" STRIKE AGAIN
        [...]  Several variations of the "Arf! Arf!" program have made
the rounds, including one that poses as a "super-directory" that
conveniently places computer files in alphabetical order.
        [...]   Al Stone, the computer consultant who runs Long Island
based Family Ledger, [says] "Don't attempt to run something unless you
know its pedigree," he says.
        That's good advice, because the computer pranksters are getting more
clever - and nastier.  They are now creating even-more-insidious programs
that gradually eat away existing files as they are used.  Appropriately
enough, these new programs are known as "worms".

------------------------------

End of AIList Digest
********************

From comsat@vpics1 Thu Sep 12 23:05:47 1985
Date: Thu, 12 Sep 85 23:05:37 edt
From: comsat@vpics1.VPI
To: france@opus   (FRANCE,RDJ,JOSLIN,ROACH,FOX)
Subject: From: AIList Moderator Kenneth Laws <AIList-REQUEST@SRI-AI>
Status: R

Received: from sri-ai.arpa by csnet-relay.arpa id aa00879; 11 Sep 85 1:28 EDT
Date: Tue 10 Sep 1985 15:58-PDT
Reply-to: AIList@SRI-AI
US-Mail: SRI Int., 333 Ravenswood Ave., Menlo Park, CA  94025
Phone: (415) 859-6467
Subject: AIList Digest   V3 #121
To: AIList@SRI-AI
Received: from rand-relay by vpi; Thu, 12 Sep 85 22:26 EST


AIList Digest           Wednesday, 11 Sep 1985    Volume 3 : Issue 121

Today's Topics:
  Seminars - Equational Logic as a Programming Language (UPenn) &
    Constructive Lexicon-Grammar (BBN) &
    Corporate Distribution Management (CMU) &
    Belief, Awareness, and Limited Reasoning (SU),
  Conferences - Factory Automation and Robotics &
    Aerospace Applications of AI

----------------------------------------------------------------------

Date: Fri, 6 Sep 85 14:10 EDT
From: Tim Finin <Tim%upenn.csnet@csnet-relay.arpa>
Subject: Seminar - Equational Logic as a Programming Language (UPenn)


EQUATIONAL LOGIC AS A PROGRAMMING LANGUAGE
Michael J. O'Donnell, The University of Chicago
3pm September 19th, 216 Moore School, University of Pennsylvania

  In  logic  programming  languages,  programs  are  logical assertions with no
explicit procedural  information,  and  execution  consists  of  the  efficient
derivation  of  certain  logical  consequences  of  a  program.    Prolog,  and
relational database query languages are both logic programming languages  based
on  the predicate calculus.  The advantages of logic programming are clarity of
programs, simplicity of semantics, and the  potential  for  parallel  execution
without  timing  dependence.    In this talk, I describe a programming language
based on the logic of equations.  A prototype implementation  exists,  and  has
been  used  in  a  number  of  experiments.    The  talk will focus on examples
illustrating the advantages of  equational  programming,  and  the  differences
between equational programming and Prolog programming.

------------------------------

Date: 4 Sep 1985 17:37-EDT
From: AHAAS at BBNG.ARPA
Subject: Seminar - Constructive Lexicon-Grammar (BBN)

           [Forwarded from the MIT bboard by SASW@MIT-MC.]

  The next BBN Artificial Intelligence seminar will be held in the 3rd
floor large conference room at 10 Moulton Street, 10:30 on Friday
September 13.  Bruce Nevins of BBN wil speak on "Constructive
Lexicon-Grammar". His abstract:

Maurice Gross's group in Paris found that, after they had specified
French verbs by their syntactic properties, there was no need for
lexical features to make further semantic distinctions between them.
Because of this perhaps surprising result, they have been able to
develop a highly specific lexical representation, using classifier
words in sentence forms rather than abstract features.  Their
lexicon-grammar replaces most context-free parsing with simple lookup
in 3-dimensional tables of syntactic properties of words.

Constructive grammar, as exemplified by Harris's _A_Grammar_of
_English_on_Mathematical_Principles_ (Wiley, 1984), uses only the
constructive `has-a' relations of dependency and adjunction, limiting
the taxonomic `is-a' relation to classifier hierarchies of words in
the lexicon.  A given input morpheme can only be one of a few kinds of
things: an operator with specified argument requirement, a primitive
argument (roughly, a concrete noun), an argument-indicator like -ing,
the operator-indicator -s, or a product of certain precisely
specifiable reductions of strings to more compact, and more
conventional, form.  Because each morpheme has at most only a very few
possible syntactic roles--frequently, just one--computer analysis of
text has much less structural ambiguity to cope with than in other
approaches.

In this talk, I will show how these two approaches to natural language
processing may be combined in a system for construing (as opposed to
parsing) natural language input that should be readily adaptable to
text generation as well.  I will sketch extensions similar to Naomi
Sager's system for automatically incorporating new text information
into subject-matter specific data bases.

------------------------------

Date: 9 Sep 85 11:09:38 EDT
From: Jeanne.Bennardo@CMU-RI-ISL1
Subject: Seminar - Corporate Distribution Management (CMU)

Topic:     Presentation of Inet Project
Speakers:  Ramana Reddy and Nizwer Husain
Place:     DH3313
Date:      Wednesday, September 11
Time:      11:30am - 12:30pm

The Inet project is an application of Knowledge Based Simulation(KBS)
techniques to the domain of corporate distribution management.  Corporate
distribution management provides a rich environment for studying new
techniques developed in KBS.  Consider a typical manufacturing organization
which manufactures a number of products and whose components are manufactured
in a number of widely separated locations.  These components are warehoused
and merged at different locations and distributed to reseller locations.  In
such a system there are numerous decisions that have to be made about the
transportation, warehousing, manufacturing and order administration policies.
The purpose of I-NET is to provide a simulation model which can be
understood, modified and used by managers directly without the assistance of
a programmer.  These facilities should provide the manager with an indepth
understanding of the distribution network and aid in decision making.

------------------------------

Date: Mon 9 Sep 85 10:45:56-PDT
From: Anne Richardson <RICHARDSON@SU-SCORE.ARPA>
Subject: Seminar - Belief, Awareness, and Limited Reasoning (SU)

DAY       October 1, 1985
EVENT     Computer Science Colloquium
PLACE     Skilling Auditorium
TIME      4:15
TITLE     Belief, Awareness, and Limited Reasoning
PERSON    Dr. Joe Halpern
FROM      IBM Corporation

            BELIEF, AWARENESS, AND LIMITED REASONING

Classical possible-worlds models for knowledge and belief suffer from the
problem of logical omniscience: agents know all tautologies and their
knowledge is closed under logical consequence.  This unfortunately is not a
very accurate account of how people operate! We review possible-worlds
semantics, and then go on to introduce three approaches towards solving the
problem of logical omniscience.  In particular, in our logics, the set of
beliefs of an agent does not necessarily contain all valid formulas. One of
our logics deals explicitly with awareness, where, roughly speaking, it is
necessary to be aware of a concept before one can have beliefs about it,
while another gives a model of local reasoning, where an agent is viewed as a
society of minds, each with its own cluster of beliefs, which may contradict
each other. The talk will be completely self-contained.

------------------------------

Date: 27 Aug 85 10:33 EDT
From: (Herb Bernstein) <BERNSTEIN@NYU-CMCL1.ARPA>
Subject: Symposium on Fact. Aut. & Robotics

           [Forwarded from the MIT bboard by SASW@MIT-MC.]

Reminder:
  The Symposium on Factory Automation and Robotics
  A Forum for Industrial and Academic Robotics Engineers and Scientists
      will be held 9-11 September 1985
      by the Courant Institute of Mathematical Sciences, NYU
      in honor of Marvin Denicoff
      sponsored by the National Science Foundation
Registration $35 ($25 for NYU faculty and staff), in advance to
      NYU/CIMS Symposium on Fac. Aut. and Robotics
      Courant Institute of Mathematical Sciences
      251 Mercer Street, New York, N.Y. 10012
        Attn:  Herbert J. Bernstein
Or at the meeting, Eisner and Lubin Auditorium, Loeb Student Center,
566 LaGuardia Place (corner of LaGuardia Place and Wash. Sq. South).
For more information or to RSVP, mail to yaya@nyu (on ARPANET), or
call 212-533-3363 or 212-460-7444.

------------------------------

Date: 6 Sep 1985 13:30-EDT
From: cross <cross@wpafb-afita>
Subject: Aerospace Applications of AI Conference

Registration is still open for the First Annual Aerospace Applications
of Artificial Intelligence, September 17-19, 1985 in Dayton Ohio.
The number to call for registration information is (513) 426-8430.
The conference will be held at the Dayton Convention Center and the
conference hotel, Stouffer's Dayton Plaza, is adjacent.  Stouffer's
phone number is (513) 224-0800. The registration cost of $225.00
includes the two conference luncheons and the banquet. The program is
listed below:

First Annual Aerospace Applications of Artificial Intelligence Conference
Program

Tuesday Morning, 9:00 AM - 9:15 AM

   Welcome to Dayton
          Mayor Paul Leonard

   Welcome to AAAIC'85
          Jack Schira, AAAIC'85 General Chairman
          Capt Stephen E. Cross, AAAIC'85 Program Chairman

Tuesday Morning, 9:15 AM -  11:30 AM

   Management Session

     Session Moderator:
          Brig Gen Philippe O. Bouchard
          Vice Commander, Aeronautical Systems Division

     Speakers:
          Brig Gen Philippe O. Bouchard
          Vice Commander, Aeronautical Systems Division

          Dr. Woodrow Bledsoe
          MCC and U. of Texas at Austin

          Dr. Joseph Watson
          Vice President of the Data Systems Group,
          Texas Instruments

          Dr. Clinton Kelly III
          Defense Advanced Research Projects Agency


Tuesday Luncheon, noon - 1:30 PM, Stouffer's Dayton Plaza

          Dr. Ed Taylor, TRW

Tuesday Afternoon, 2:00 PM - 4:30 PM

    Avionics Session

      Session Moderator:
          Maj James R. Johnson, AFWAL

      Keynote Speaker:
          Dr. Tom Garvey, SRI International, AI Center
          "Keeping the Pilot in Command:  AI and Avionics"

      Speakers:
          Dick Feldman and Hal Cambell, Systran
          "Expert System Pilot Aid - an Update"

          Dr. Bruce Anderson, Christa McNulty, and Garr S. Lystad
          "Expert Systems for Aiding Combat Pilots"

          Dr. Michael R. Fehling, Teknowledge Inc.
          "Research Issues for Knowledge Based Planning"

   Programming Languages

     Session Moderator:
          Dr. Gary Lamont, AFIT

     Keynote Speaker:
          Dr. Kenneth Kahn, Xerox PARC
          "The Integration of Multiple Paradigms for AI
           Programming"

     Speakers:
          Charles T. Kitsmiller, J. Boose, T. Jardine
          Boeing Computer Services
          "Coupling Symbolic and Numerical Computing in Expert
           Systems"

          Bruce Reed Jr., Goodyear Aerospace
          "An Implementation of LISP on a SIMD Parallel
           Processor"

          Dick Naedel, Intellimac
          "Ada and Artificial Intelligence"

          Mark Miller, Computer Thought
          "Ada and Artificial Intelligence"

Wednesday Morning, 9:00 AM - 11:30 AM

   Manufacturing

     Session Moderator:
          Dr. Vince Russo, AFWAL

     Keynote Speaker:
          Dr. Mark Fox, Robotics Institute, Carnegie Mellon Univ.
          "Artificial Intelligence in Manufacturing"

     Speakers:
           Dr. Petros Papus, Westinghouse Electric Corp.
           "ISIS Project in Review"

           Robert Joy, Northrup Corp.
           "Lisp Machine Based Generative Process Planning and
            Object Oriented Simulation"

           Capt Thomas Triscari, AFIT, and
           Dr. William M Henghold, Universal Technology Institute
           "Research Needs for AI in Manufacturing"

   Man-Machine Interfaces

     Session Moderator:
          Dr. Tom Furness, AAMRL

     Keynote Speaker:
          Dr. William Rouse, Search Technology Inc.
          "Human Interaction with Intelligent Systems"

     Speakers:
          D. Woods and E. Roth, Westinghouse R&D Center
          "Joint Person-Machine Cognitive Systems:  Issues in
           Intelligent Decision Support"

          Norm Geddes, Georgia Institute of Technology
          "Intent Inferencing Using Scripts and Plans"

          Dr. Russ Hunt, Search Technology Inc.
          "Human Factors of Intelligent Computer-aided Display
           Design"

Wednesday Afternoon, 2:00 PM - 4:30 PM

   Maintenance

     Session Moderator:
          Cpt Rob Milne, Army AI Center, Pentagon

     Keynote Speaker:
          Dr. B. Chandrasekaran, Ohio State University
          "Artificial Intelligence Applications to Diagnostics
           and Maintenance"

     Speakers:
          Mr. R. Cantone, Automated Reasoning Corp., and
          Dr. Don Allen, Northrup Corp.
          "Technical Diagnosis by Automated Reasoning"

          Dr. Joseph Hintz, Raytheon Co.
          "Expert Systems in Higher Echelon Maintenance
           Activities"

          Dr. F. Pippitone and Dr. K DeJong, Naval Research Lab
          "FIS: An Electronics Fault Isolation System Based on
           Qualitative Causal Modeling"

   New Architectures

     Session Moderator:
          Dr. Barry Deer, Systran

     Keynote Speaker:
          Dr. Victor Lesser, Univ. of Massachusetts at Amherst
          "Overview of Important Issues in Distributed Problem
           Solving"

     Speakers:
          Dr. Barry Deer, Hal Cambell, Jack Schira, and
          Dick Feldman, Systran
          "Architecture-Based Machine Intelligence"

          Cpt Richard Routh and Dr. Matthew Kabrisky, AFIT
          "Cortical Thought Theory: A New Computing Architecture
           Based on the Human Brain"

          Bruce Reed, Goodyear Aerospace
          "The ASPRO Parallel Inference Engine (A Real Time
           Production Rule System)"

Wednesday Evening Banquet, 7:00 PM - 9:00 PM

          Dr. Mark Stefik, Xerox PARC

Thursday Morning, 9:00 AM - 11:30 AM

   Decision Support Systems

     Session Moderator:
          Dr. Yan Yufik, NCR

     Keynote Speaker:
          Prof Donald Michie, The Turing Institute
          "The Automated Development of Decision Support
           Systems"

     Speakers:
          Cpt Rob Milne, Army AI Center, Pentagon
          "An Equipment Distribution Expert System"

          Dr. Thomas Sheridan, MIT, and Dr. Yufik, NCR
          "Hybrid Knowledge Based System for Operation
           Planning"

          Dr. Jeffrey Schwartz, Grumman-CTEC
          "Determining the Relevance of Cues:  A New Type of
           Decision Support"

   Expert System Tools

     Session Moderator:
          Mr. David Dietz, System Research Laboratories Inc.

     Keynote Speaker:
          Dr. Earl Sacerdoti, Teknowledge Inc.
          "Overview of Expert System Building Tools"

     Speakers:
          Dr. William Faught, IntelliCorp
          "Aerospace Application and the Use of KEE"

          Linda Brainard, System Research Laboratories Inc.
          "Developing Portable Expert Systems"

          Mark Maletz, Inference Corp., and C. Cuthbert, NASA
          "Monitoring Real-Time Navigation Processes Using the
           Automated Reasoning Tool (ART)"

------------------------------

End of AIList Digest
********************

From comsat@vpics1 Thu Sep 12 23:05:17 1985
Date: Thu, 12 Sep 85 23:05:13 edt
From: comsat@vpics1.VPI
To: france@opus   (FRANCE,RDJ,JOSLIN,ROACH,FOX)
Subject: From: AIList Moderator Kenneth Laws <AIList-REQUEST@SRI-AI>
Status: R

Received: from sri-ai.arpa by csnet-relay.arpa id a006849; 12 Sep 85 13:30 EDT
Date: Thu 12 Sep 1985 09:31-PDT
Reply-to: AIList@SRI-AI
US-Mail: SRI Int., 333 Ravenswood Ave., Menlo Park, CA  94025
Phone: (415) 859-6467
Subject: AIList Digest   V3 #122
To: AIList@SRI-AI
Received: from rand-relay by vpi; Thu, 12 Sep 85 22:33 EST


AIList Digest           Thursday, 12 Sep 1985     Volume 3 : Issue 122

Today's Topics:
  Queries - Expert Systems for Advising & Autonomous Vehicle,
  Bindings - KRYPTON Team,
  AI Tools - Prolog and Lisp,
  Obituary - Professor George Polya,
  Literature - AI Report, SEP 1985

----------------------------------------------------------------------

Date: Tue, 10 Sep 85 09:57:34 cdt
From: Don <kraft%lsu.csnet@csnet-relay.arpa>
Subject: expert systems for advising

Can anyone provide me with information and/or a bibliography on expert
systems to advise undergraduate students vis-a-vis planning their
curricula?

Don Kraft
kraft%lsu@csnet-relay

------------------------------

Date: Tuesday, 10-Sep-85 17:45:01-GMT
From: GORDON JOLY (on ERCC DEC-10) <GCJ%edxa@ucl-cs.arpa>
Subject: Autonomy

>From a recent AIList (Vol 3 # 119) announcement of a meeting
(Army AI) a discussion was to take place on a

``Robotic Ranger: Recent Testbed Results/Path to Autonomy...''

Can we really look forward to an autononous system? And in such
a setting?

Gordon Joly (now gcj%qmc-ori@ucl-cs.arpa)

------------------------------

Date: Tue 10 Sep 85 23:55:41-PDT
From: FIKES@USC-ECL.ARPA
Subject: Your Inquiry About KRYPTON

John,
        The KRYPTON project resulted in papers at AAAI-82, AAAI-83,
AAAI-84, and IJCAI-85, in addition to the one in IEEE Computer.  The
KRYPTON "team" is currently dispersed as follows:  Ron Brachman is at
AT&T Bell Laboratories, Hector Levesque is at the University of Toronto,
and Victoria Gilbert and I are at IntelliCorp.

richard fikes

------------------------------

Date: Tue 10 Sep 85 12:15:06-EDT
From: "Fanya S. Montalvo" <MONTALVO%MIT-OZ@MIT-MC.ARPA>
Subject: Prolog and Lisp

In-Reply-To: <HEWITT.12141071402.BABYL@MIT-XX>

   From: Hewitt

   However, it
   is not possible to make a commercially viable Common Lisp
   implementation on Prolog.  This means that any good software written
   for a stand alone Prolog system will soon appear on the Lisp Systems
   but NOT vice versa.  Therefore the stand alone Prolog systems will
   always have impoverished software libraries by comparison with the
   Common Lisp systems and will not be commercially viable in the long
   run.

This type of argument strikes one as historical accident not as anything
fundamental.  And by that accident I mean vagaries of the market place.
Could you say more about how it's fundamental, or do you agree that it's
historical accident?

------------------------------

Date: Sun 8 Sep 85 14:28:05-PDT
From: Mark Crispin <Crispin@SUMEX-AIM.ARPA>
Subject: Professor George Polya

         [Forwarded from the Stanford bboard by Laws@SRI-AI.]

Dr. George Polya, professor emeritus at Stanford and a leading research
mathematician, died Saturday at his home after a long illness.  He was 97.
Memorial services are pending; the family prefers memorials be contributions
to the George Polya Memorial Book Fund, Stanford University Department of
Mathematics, Stanford 94305.

------------------------------

Date: 10 Sep 1985 09:13-EST
From: leff%smu.csnet@csnet-relay.arpa
Subject: AI Report, SEP 1985

Artificial Intelligence Report, September 1985, Volume 2, No. 9

REPORT ON IJCAI-85  (interesting facts not reported by me from
other sources)

over 6000 attendees, 250 papers, five dozen commercial display
booths, fourteen tutorials,

Xerox announced new 1185 and 1186 AI work stations at $9,9995 and
$15,865 are comptabile with the IBM-PC.

Symbolics anounced the development of a workstation which will
sell at approximately half the price of present machines.

Hewlett Packard demonstrated an integrated circuitry photolithography
advisor and natural language analyzer.

Intellicorp previewed KEE 3.0 which has an updated version of its
object oriented graphcis package (scheduled for shipment in January).
Intellicorp also announced KEEWorlds, a tool that compares and
merges complementary worlds of knowledge, a system for delivering
expert systems on a personal computer and a manufacturing
simulation package.  They will be opening a  European Office
in Munich.

Palladian Software announced a Financial Adivisor running on a Symbolics
3640 connected to a major mainframe.  The economic strategies were
provided by Professor Steward Myers of the Sloan School of Management.
Among the first commercial will be the CIGNA Corporation.

Symbolics announced a record fourth quarter and fiscal 85 sales.  It
has shipped its 1,250th machine.  Their new units will use Symbolics
release 6.1 and will run Common Lisp.

TI demonstrated its PC-Scheme.

Inference Corporation announced the ARTIST graphics environment
and the ART STUDIO knowledge base browsing material.  It signed
an agremement with the Insurance Company of North America to develop
expert systems for the financial industry.

Teknowledge released Version 2 of its M.1 expert system and has rewritten
S.1 in the C programming language.

Teknowledge has announced an agreement with Computer Thought company
to convert S.1 to ADA programming language.

Apollo Computer and Sun announced agreements with LUCID to sell and
support LUCID's implementation of COMMON Lisp.

Membership in AAAI is over 10,000.  AAAI next conference to
be held in Philadelphia, August 11-15 1986 will have two tracks,
engineering and scientific.

REPORT ON FRENCH AI PROGRAM

which listed areas being studied and government agencies supporting
AI.  Also includes a comment by Geoffroy d'Aumale, Editor of
La Lettre da l'Intelligence Artificiel that unless something is
done about French research in AI, the fifth generation will be out
of reach of French Industry

THE CONNECTION MACHINE

discusses the Connection Machine Project of Thinking Machine Company.
Thinking Machine Company also will be offering a program that indexes
natural language for online text browsing.  It can generate indexes
at the rate of 200,000 characters per hour.  It runs on Symbolic
Machine and will soon run on other systems running the C language.

THE TURING INSTITUTE

This is the commercially independent AI system in Glasgow, Scotland.
It has been founded by Donald Michie and has the charter to develop
intelligent computers without interference from 'systems analysts,
programmers and operators.'  They are affiliated with the company
behind Expert-Ease, Radian Corporation.

AION CORPORATION:

This company is building expert systems on personal computer that
can access large mainframe databases.

EXPERT-EASE SYSTEMS

Expert-Ease Systems of Menlo Park has received a Department of
Energy contract to
  1) develop an expert system to enhance reliability-based decision
     making in power plants
  2) apply knowledge engineering to power plant heat rate performance
     monitoring

List of quotes overhead at the Gartner Group Forum on AI

book reviews of:

%A Shimon Y. Nof
%T Handbook of Industrial Robotics
%I John Wiley and Sons
%C Somerset, New Jersey
%X 1358 pages $76.95

%A International Society for Optical Engineering
%T Applications of Artificial Intelligence II

%E Mary S. Pickett
%E John W. Boyce
%T Solid Modelling by Computers From Theory to Applications
%I Plenum Press

%A Stephen J. Andriole
%T Applications in Artificial Intelligence
%I Petrocelli Books
%C Princeton, New Jersey

------------------------------

End of AIList Digest
********************

From csvpi@vpics1 Mon Sep 16 23:05:22 1985
Date: Mon, 16 Sep 85 23:05:09 edt
From: csvpi@vpics1.VPI
To: france@opus   (FRANCE,RDJ,JOSLIN,ROACH,FOX)
Subject: From: AIList Moderator Kenneth Laws <AIList-REQUEST@SRI-AI>
Status: R

Received: from sri-ai.arpa by CSNET-RELAY.ARPA id a006687; 16 Sep 85 14:24 EDT
Date: Mon 16 Sep 1985 10:07-PDT
Reply-to: AIList@SRI-AI
US-Mail: SRI Int., 333 Ravenswood Ave., Menlo Park, CA  94025
Phone: (415) 859-6467
Subject: AIList Digest   V3 #123
To: AIList@SRI-AI
Received: from rand-relay by vpi; Mon, 16 Sep 85 22:37 EST


AIList Digest            Monday, 16 Sep 1985      Volume 3 : Issue 123

Today's Topics:
  Linguistics - TaleSpin Story Generator Reference,
  Humor - Psychotherapy,
  AI Tools - LISP to C & More Xerox Announcements at IJCAI &
    New Lists for TI Explorer Discussion &
    Connectionist Network Simulator &
    Discussion of AI Languages,
  Information Retrieval - Interactive Encyclopedia &
    Technical Foreign Language Material

----------------------------------------------------------------------

Date: Thu 12 Sep 85 12:00:25-PDT
From: Matt Heffron <BEC.SHAPIN@USC-ECL.ARPA>
Subject: Re:TaleSpin


Re: Children's story generator <7-Sep-85 Steve.Hoffman@CMU-CS-K>

The program you're interested in is TALE-SPIN, by James Meehan.
He is currently at:
        James R. Meehan
        Cognitive Systems Inc.
        234 Church St.
        New Haven, CT 06510
        MEEHAN@YALE

- Matt Heffron

------------------------------

Date: Monday,  9-Sep-85 16:26:12-GMT
From: GORDON JOLY (on ERCC DEC-10) <GCJ%edxa@ucl-cs.arpa>
Subject: Analysis of ...

Re: Expert Systems In Psychiatry (Vol 3 # 116)

Psychotherapy is debugging for humans...

Gordon Joly.


  [I'm not sure what the intent of this message is.  I'll pass it along
  under a "humor" label, but to avoid any "Polynomial" debacle would
  like to point out that psychotherapy is not a joking matter.  -- KIL]

------------------------------

Date: Thu 12 Sep 85 12:03:19-PDT
From: Matt Heffron <BEC.SHAPIN@USC-ECL.ARPA>
Subject: Re: LISP to C


Re: Lisp to C <20-Aug-85 duke@mitre.ARPA>
I know of (no endorsement, no experience with) a system called SILL
which is built on top of PSL on the Apollo.  It can "... output standard
PASCAL (or other conventional languages).  This capability enables the
user to port SILL developed code to other environments."
Contact:
        SILMA Incorporated
        1800 Embarcadero
        Palo Alto, CA 94303
        (415)-493-0145

-- Matt Heffron
From: Matt Heffron : Beckman Instruments Inc.

------------------------------

Date: 12 Sep 85 15:12 PDT
From: Fischer.pa@Xerox.ARPA
Subject: More Xerox announcements at IJCAI

The 1185 and 1186, though they can run IBM-PC software, do not use the
8086 to run Interlisp.  The primary processor is microprogrammable,
constructed using bitslice chips.  A second IO processor is, in fact, an
8086.  IBM compatability is provided by a yet third processor, an 8086,
on a plug in board.  Performance is about 15% greater overall than the
Dandelion; we're still benchmarking.  These machines also have a new
larger 19" screen availible as an option, with more pixels at the same
density.

Also announced was a version of Quintus Prolog for D-machines, using
microcode support, which benchmarks at 51,000 LIPS.

Xerox Commonlisp was announced for 2nd quarter 1986.  It is to be fully
integrated with the Interlisp environment.

(ron)

------------------------------

Date: Fri 13 Sep 85 15:16:25-PDT
From: Richard Acuff <Acuff@SUMEX-AIM.ARPA>
Subject: New Lists for TI Explorer Discussion

   In order to facilitate information exchange among DARPA sponsored
projects using TI Explorers, two ArpaNet mailing lists are being
created.  INFO-EXPLORER will be used for general information
distribution, such as operational questions, or announcing new
generally available packages or tools.  BUG-EXPLORER will be used to
report problems with Explorer software, as well as fixes.  Requests to
be added to or deleted from these lists should be sent to
INFO-EXPLORER-REQUEST or BUG-EXPLORER-REQUEST, respectively.  All
addresses are at SUMEX-AIM.ARPA.  These lists signify no commitment
from Texas Instruments or Stanford University.  Indeed, there is no
guarantee that TI representatives will read the lists.  The idea of
the lists is to provide communication among the users of Explorers.

        -- Rich Acuff
           Stanford KSL

------------------------------

Date: 13 Sep 1985 1557-EDT (Friday)
From: Hon Wai Chun <hon%brandeis.csnet@CSNET-RELAY.ARPA>
Subject: Connectionist Network Simulator


CONNECTIONIST NETWORK TEACHING / LEARNING TOOL

A connectionist network teaching / learning tool called AINET-1 is available
for distribution (educational and research purposes only) from the Computer
Science Department, Brandeis University.

AINET-1 is a graphic-oriented software package which can be used to
interactively create, manipulate, and experiment with connectionist
networks.  Most commands are conveniently driven by a mouse.  Nodes in
AINET-1 are shaded to reflect their activation levels.  Once a network is
created, the user can run an animated simulation (network relaxation).  In
the simulation, AINET-1 will change the various node shadings as the
activation levels change during each run cycle.  After a simulation, the
user can plot the results or display tables of previous activation levels.
Networks can be stored into binary files and reloaded later for further
editing.

AINET-1 is intended to be used mainly as a learning tool to give the user a
flavor of how connectionist networks behave.  A more sophisticated version,
called AINET-2 (under development), may be useful for development work.

AINET-1 is written in Symbolics Common Lisp and presently runs on Symbolics
Lisp machines (Release 6.0).  The system is offered on a non-commercial,
non-disclosure, and as-is basis for a nominal fee.

The fee is $150 for universities, and $250.00 for laboratories.  Interested
parties should send requests to (or call).


Hon Wai Chun       hon@brandeis.csnet
Computer Science
Brandeis University
Ford 232A
Waltham, MA 02254

617-647-2650 or
617-647-2119 (main-office)

------------------------------

Date: 14 Sep 1985  07:21 EDT (Sat)
From: Wayne McGuire <Wayne%MIT-OZ@MIT-MC.ARPA>
Subject: Lisp vs. Prolog vs. ?

Predicting what language will be most used for AI is problematic since
there seems to be little agreement about what AI is.  Let's assume,
however, that over the next decade or two ''AI'' will refer primarily
to expert systems.

In that case, one might speculate that perhaps the bulk of AI code
will be written neither in Lisp nor Prolog (not even an enhanced
Prolog which can elegantly manipulate and coordinate in the same
conceptual space multiple worlds, logics, and beliefs), but a
higher-level language, perhaps using Lisp and/or Prolog as a base.

One of the major tasks in the coming years will be tranferring the
expert knowledge from many domains--economics, medicine, sociology,
political science, literature, law, etc.--into expert systems.
Experts in these fields have dedicated their lives to mastering their
respective fields, not to learning the art of writing compact and
elegant Lisp code.  These experts are not computer scientists or even
computer programmers.

This situation implies three methods for transferring the knowledge of
domain experts into computer programs:

     (1) Natural language understanding systems which can translate
raw text directly into working knowledgebases.  We probably won't see
such systems on a large scale, which can operate with any degree of
reliablity, for at least another twenty-five years, and perhaps much
longer.

     (2) The laborious interviewing of domain experts by expert system
experts (if you will), and the transcription of those interviews into
programs.

     (3) The direct encoding of knowledge into expert systems by
domain experts themselves.

If the third method does indeed become the preferred method for
writing expert programs, then whatever higher-level language and user
interface best supports that activity (and I doubt it will be Lisp or
Prolog, which are relatively low-level) will probably become the
language which is most widely used for AI.

------------------------------

Date: Mon, 26 Aug 85 08:22:25 edt
From: Ben Shneiderman <ben@MARYLAND>
Subject: The Interactive Encyclopedia System (TIES)

             [Excerpted from IRList 1.8 by Laws@SRI-AI.]


                The Interactive Encyclopedia System (TIES)
                --- ----------- ------------ ------ ------

                Ben Shneiderman, Department of Computer Science
                Janis Morariu, College of Library and Information Services

                University of Maryland, College Park, MD 20742
                June 1985

The Interactive Encyclopedia System (TIES) has been under development  at  the
University  of  Maryland  since  Fall 1983.  It allows novice users to explore
information resources in an easy and appealing manner. They merely  touch  (or
use arrow keys to move a light bar onto) topics that interest them and a brief
definition appears at the bottom of the screen.  The users may continue  read-
ing  or ask for details about the selected topic. An article about a topic may
be one or more screens long.  As users traverse articles, TIES keeps the  path
and allows easy reversal, building confidence and a sense of control. Advanced
features include the ability to view an index of articles or print  out  arti-
cles of interest.    [...]

The TIES authoring software guides the author in writing a title, brief defin-
ition  (5-25  words),  text  (50-1000 words, typically), and synonyms for each
article title.  The author marks references in the text by surround them  with
a  pair of tildes.  TIES collects all references, prompts the user for synonym
relationships, maintains a list of articles, and allows editing, addition, and
deletion  of  articles.   A simple word processor is embedded in the authoring
software, but users can create articles on their own word processor,  if  they
wish.  There are no commands to memorize, every operation is done by selection
from options on the screen.    [...]

In the study comparing the arrow keys (maybe better termed "jump" keys because
the  cursor  would jump to the closest target in the direction pressed) to the
mouse, the arrow keys proved to be and average of 15% faster and preferred  by
almost  90% of the subjects.  We conjecture that when there are a small number
of targets on the screen and when jump keys can be implemented, they provide a
rapid, predictable, and appealing mechanism for selection.    [...]

We did find touchscreen was easier to teach people than arrow keys,
and that arrow keys were a solid winner against the mouse when there
are a small number of large targets on the screen.

-- Ben Shneiderman

  [A mouse could be programmed for similar "jump selection", of course.
  It would be interesting to know whether this would be more distracting
  than helpful.  -- KIL]

------------------------------

Date: 13 Sep 1985 1209-PDT (Friday)
From: eugene@AMES-NAS.ARPA (Eugene Miya)
Subject: Technical foreign language material

Lately, there have been significant technical advances from non-English
speaking countries: Japan and the Continent.  How many know the Japanese
equivalent to the CACM?  What is the German equivalent of the IEEE?
It is too easy to say that such organizations and publications are
not significant.  We have been accused of parochialism.
Our problems in the computer industry are rather unique as colleagues in other
fields such as nuclear fusion report that most of their colleagues are,
for all practical purposes, forced to come to the U.S.  This is not the case
with computing

Just as we have file servers and process servers, we have a
distributed system.  Our greatest resource are not the machines, but
the people with special skills.  To this end I propose the following:

Propose:
1) to identify individuals who are capable of providing simple
translation.  It would help if the Universities could do this.
Perhaps, Universities could get assistance from foreign language
departments.

2) Identify various foreign language publications of technical interest.
Quickly identify articles of wide interest.  This information could
be posted to general interest Usenet newsgroups such as net.research
and net.mag as well as the special interest groups such as the AI List,
net.lang, and so forth.  We should not create news groups, but work
on top of existing groups.

3) Help fund subscription and translations. Perhaps, individuals
without technical translation expertise can get together to pay for
technical translations [commercial], and/or help fund the subscription
of those with technical translation expertise.

Dymond@nbs-vms.ARPA has started an info-japan and a nihongo discussion
group on the ARPAnet, but it would be difficult to get Usenet
participation.  I specifically do not want to create new newsgroups.
This structure can be placed atop the existing news group structure.

The Usenet has several advantages for the circulation of this type
of material: 1) it has the links into Japan, Korea, Australia,
Germany, France, and the rest of Europe not on the ARPAnet. 2)
since there is no global authority, industrial companies can participate
more easily. 3) There are a diversity of news groups which make news
dissemination easier: net.mag for instance is used for posting
the TOCs of various publications, ideal for this type of dissemination.
Other significant groups include:
net.ai, net.cse, net.announce, net.physics, net.arch, net.math, net.mag,
net.research, net.bio, net.graphics, net.wanted, net.nlang

It appears our most critical needs are in the Eastern Asian languages
such as Japanese, Korean, and Chinese.  Other useful work would include
French, German, and the other European languages.  We have to look to
the Universities for much of our assistance, but private organizations
and government can also help.  We can certainly make inquires.
The Usenet extends into Japan, France, and other non-English native
countries.  We must take benefit of these contributors.
Similarly, we can contribute to these countries by tagging significant
English language documents.

I am willing to act as a clearing house for determining finding
individuals and groups, and specific journals.  For this purpose,
I am giving my address an ARPA/uucp gateway.  Send the mail inquiries
there.  More in a couple of weeks.

>From the Rock of Ages Home for Retired Hackers:

--eugene miya
  NASA Ames Research Center
  {hplabs,ihnp4,dual,hao,decwrl,allegra}!ames!amelia!eugene
  eugene@ames-nas

------------------------------

End of AIList Digest
********************

From comsat@vpics1 Wed Sep 18 22:45:27 1985
Date: Wed, 18 Sep 85 22:45:10 edt
From: comsat@vpics1.VPI
To: france@opus   (FRANCE,RDJ,JOSLIN,ROACH,FOX)
Subject: From: AIList Moderator Kenneth Laws <AIList-REQUEST@SRI-AI>
Status: R

Received: from sri-ai.arpa by CSNET-RELAY.ARPA id a000386; 18 Sep 85 14:29 EDT
Date: Wed 18 Sep 1985 09:14-PDT
Reply-to: AIList@SRI-AI
US-Mail: SRI Int., 333 Ravenswood Ave., Menlo Park, CA  94025
Phone: (415) 859-6467
Subject: AIList Digest   V3 #124
To: AIList@SRI-AI
Received: from rand-relay by vpi; Wed, 18 Sep 85 22:31 EST


AIList Digest           Wednesday, 18 Sep 1985    Volume 3 : Issue 124

Today's Topics:
  Query - AI Conference Listings,
  Correction - Expert Systems in Government,
  Volunteers Needed - Expert Systems in Government,
  Call for Papers - Knowledge-Based Expert Systems (IEEE Software),
  Seminars - Cognitive Science Calendar (MIT) &
    Learning Mathematical Abstractions (UCB) &
    Programming in Equational Logic (CMU) &
    Explanation of Quantitative Models (CMU) &
    Automating CAD Design (GMR),
  Conference - Workshop on Argument Structure (Brandeis)
  Course - The Logic of Robot Design (SU)

----------------------------------------------------------------------

Date: Wed, 18 Sep 85 09:47 EST
From: Atul Bajpai <bajpai%gmr.csnet@CSNET-RELAY.ARPA>
Subject: AI Conferences

Can somebody out there in the computer world provide me with a list
of major AI conferencs/symposiums/tutorials that are scheduled
through the end of 1986? Location and dates of these activities would
be useful. Thank you.

--Atul Bajpai-- CSNET: bajpai%gmr.csnet@csnet-relay

  [A couple of good sources for such information are the ACM SIGART
  newsletter and the monthly Communications of the ACM.  IEEE Computer
  carries both a calendar and calls for papers, and the AI Magazine
  from AAAI has quite a few conference announcements.  Yoni Malachi
  (YM@SAIL) has been keeping an indexed list of conference announcements
  in file confer.txt[2,2] at SAIL (Stanford AI Lab).  Back issues of
  AIList are a pretty good source as well.  -- KIL]

------------------------------

Date: Fri 13 Sep 85 23:38:29-PDT
From: Gary Martins <GARY@SRI-CSLA.ARPA>
Subject: False advertising for "Expert Systems in Gov't"


Ailist V3 #115 includes a message dated August 28, from Marhshall Abrams
at Mitre, describing the program for a forthcoming conference on
"Expert Systems In Government".

My name appears as a panelist in a session entitled "Frontiers of KBES:
Pro & Con".

AIList readers should know that neither I nor anyone else from
Intelligent Software Inc. will be appearing in any capacity at this
festival of hype.

I have a written promise from Marshall Abrams to desist from this false
advertising.  He has known for several weeks that this announcement is
false.

Misrepresentation, exaggeration, and falsehood are important elements
of contemporary AI.  We would only ask that these be confined to the
technical presentations, and not spill over into administrative and
procedural announcements.

Thanks.

Gary R. Martins

------------------------------

Date: 18 Sep 85 11:12:05 EDT (Wed)
From: Marshall D. Abrams <abrams@mitre.ARPA>
Subject: Gary Martins will not be at ESIG

Due to a clerical error, the preliminary program for Expert Systems
in Government indicates that Gary Martins will participate on a panel
discussion.

I apologize for any inconvenience this error may have caused.

Sincerely,

 - Marshall D. Abrams, phone: (703) 883-6938
   The MITRE Corporation, 1820 Dolley Madison Blvd.
   Mail Stop W458, Mc Lean, VA   22102

------------------------------

Date: 12 Sep 85 08:53:08 EDT (Thu)
From: Kamal N. Karna <m16045@mitre.ARPA>
Subject: Second EXPERT SYSTEMS IN GOVERNMENT CONFERENCE  1986

The second Expert Systems in Government Conference, sponsored by
the IEEE/CS and the MITRE Corporation, will be held in October
1986 in Washington D.C. metropolitan area.
Volunteers at all levels are solicited to participate in the
next year's program.
ESIG 1986 is anticipated to be much larger and broader in
scope. The ESIG 1986 conference shall include one day of
tutorials followed by the sessions on unclassified and classified
topics. There will be two technical co-program chairmen
to organize the technical programs.
People interested in participating in ESIG 1986 please
contact
        Dr. Kamal N. Karna
        Conference Chairman
        Second Expert Systems in Government Conference 1986
        The MITRE Corporation
        1820 Dolley Madison Blvd.
        McLean, Virginia  22102.
        (Tel.) (703) 883-5866 (O)
               (301) 921-0392 (H)
               KARNA@MITRE----ARPANET

------------------------------

18-Sep-85 09:35:14-PDT,1332;000000000001
Date: Tuesday, 17 September 1985 14:52:06 EDT
From: Duvvuru.Sriram@cive.ri.cmu.edu
Subject: Call for submissions to IEEE Software

                           CALL FOR PAPERS

In  addition  to  the  regular  features, the March 1986 IEEE Software
special issue on Knowledge-based Expert Systems (KBES) for Engineering
Applications will have a section on research being  conducted  on  the
applications  of KBES for engineering.  Authors should submit a 3 page
(doubly spaced) paper, focusing on the following issues:

   - goal of the project;
   - architecture of the system;
   - current status; and
   - future plans.

All submissions should be sent before October 15th, 1985 to:

 D. Sriram/M. Rychener
 Civil Engg. and Construction Labs.
 Department of Civil Engineering
 Carnegie-Mellon University
 Pittsburgh, PA 15213
 ARPAnet address: sriram@cive.ri.cmu.edu or sriram@cmu-ri-cive.arpa
 (Net mail is preferable)

------------------------------

Date: Sun, 15 Sep 1985  11:42 EDT
From: Peter de Jong <DEJONG%MIT-OZ@MIT-MC.ARPA>
Subject: Cognitive Science Calendar
Reply-to: Cog-Sci-Request%MIT-OZ@MIT-MC

           [Forwarded from the MIT bboard by SASW@MIT-MC.]

The Cognitive Science Calendar is a weekly listing of Cognitive
Science talks with their abstracts which are given at MIT and the
surrounding area. The listing includes the areas of Artificial Intelligence,
Cognitive Psychology, Philosophy, and Linguistics.
If you would like to join the listing or have talks listed please
reply to COG-SCI-REQUEST%MIT-OZ@MIT-MC.ARPA.

------------------------------

Date: Thu, 12 Sep 85 09:03:50 PDT
From: chertok%ucbcogsci@Berkeley (Paula Chertok)
Subject: Seminar - Learning Mathematical Abstractions (UCB)

                      BERKELEY COGNITIVE SCIENCE PROGRAM
                                  Fall 1985
                    Cognitive Science Seminar -- IDS 237A

          TIME:                Tuesday, September 17, 11:00 - 12:30
          PLACE:               240 Bechtel Engineering Center
          (followed by)
          DISCUSSION:          12:30 - 1:30 in 200 Building T-4

        SPEAKER:          Alan H. Schoenfeld, Education & Mathematics, UCB

        TITLE:            ``Obstacles To Making Sense of  Mathematical
                          Notions,  or, The Transfer Problem Rears its
                          Ugly Head Once Again''

        It can be argued that the fundamental difficulty in  mathemat-
        ics  learning  is the transfer problem.  That is, the power of
        mathematics lies in the potential applicability of  mathemati-
        cal  ideas  to  new situations.  It doesn't matter whether the
        idea is, for example, function, group,  number,  or  triangle.
        Once  any  particular  mathematical  entity  is  recognized as
        belonging to an identified class of objects, everything  known
        about  that  class of objects applies to that entity.  In such
        abstaction resides much of the power and utility of  mathemat-
        ics.   This paper explores some theoretical and some pragmatic
        obstacles to students' abstraction  of  mathematical  notions.
        We  look  at  two  domains,  whole number arithmetic and plane
        geometry.  Some parallels between the two domains  are  drawn,
        to  indicate  that the processes of abstraction are similar in
        both.  In the case of number, we examine a  theoretical  para-
        dox:  the  use of good ``hands on'' manipulatives to help stu-
        dents make sense of base 10 addition and subtraction may  make
        it  harder to understand the nature of ``number.'' In the case
        of geometry, we discuss an empirical  obstacle.   When  things
        are  compartmentalized  in the curriculum, connections that we
        would hope are ``natural'' turn out to be very hard to make.

------------------------------

Date: 17 September 1985 1308-EDT
From: Theona Stefanis@CMU-CS-A
Subject: Seminar - Programming in Equational Logic (CMU)


	Name:  Michael J. O'Donnell - The University of Chicago
	Date:  Monday, 23 September
	Time:  3:00
	Place: WeH 5409
	Title: Equational Logic as a Programming Language
 
In logic programming languages programs are logical assertions with no
explicit procedural information, and execution consists of the efficient
derivation of certain logical consequences of a program.
Prolog, and relational database query languages are both logic
programming languages based on the predicate calculus.  The advantages
of logic programming are clarity of programs, simplicity of semantics,
and the potential for parallel execution without timing dependence.
In this talk, I describe a programming language based on the logic of
equations.  A prototype implementation exists, and has been used in a
number of experiments.  The talk will focus on examples illustrating the
advantages of equational programming, and the differences between
equational programming and Prolog programming.
 
			Mike O'Donnell

------------------------------

Date: 17 Sep 85 16:16:10 EDT
From: Jeanne.Bennardo@CMU-RI-ISL1
Subject: Seminar - Explanation of Quantitative Models (CMU)

		Intelligent Systems Lab Seminar

Topic:    Presentation of Ergo Project
Speaker:  Dr. Donald Kosy
Place:    DH3313
Date:     Friday, September 20
Time:     11:00am - 12:00noon

The Ergo project is an investigation into computer methods for explaining 
results produced by quantitative planning models.  It is an outgrowth of
previous research in which we developed a procedure that explains differences
in results by comparing their derivations.  For example, given a suitable
quantitative model and a series of results from it such as:

			1982		1983		1984
	Profit	      $683.00	      $676.40	      $951.60

this procedure can answer "why" questions about the results such as:

	Why did profit go down in 1983?
 
	  Profit went down in 83 primarily because overhead cost went up and
	profit = gross margin - overhead cost.  Although gross margin went up
	by 19%, overhead cost went up by 41% and the latter outweighed the 
	former.  Would you like me to continue?

The explanation can be continued all the way down to the lowest level of the 
model, i.e. down to its input variables.

The intent of the current work is to extend the explanatory power of this 
procedure and to evaluate its potential for practical use.  In particular
we are interested in extensions to cover:

	*Models that involve simultaneous equations
	*Models that involve conditional expressions
	*Explanations of differential magnitude, e.g. Why did overhead cost
	 go up so much?
	*Inferring the referents of comparison, e.g. Why is production cost 
	 high in 83?
	*Explaining lack of change, e.g. Why did material cost remain 
	 constant?
	*Explaining differences between "what-if" cases and a base case, e.g.
	 Why is profit in case 1 higher than for the base case?

------------------------------

Date: Thu, 12 Sep 85 14:24 EST
From: "S. Holland" <holland%gmr.csnet@csnet-relay.arpa>
Subject: Seminar - Automating CAD Design (GMR)

Presentation is to be held at General Motors Research Laboratories in
Warren, Michigan.

                       Function, Form and Fabrication:
                     Considerations in Automating Design

                              James R. Rinderle
                             Assistant Professor
                         Carnegie-Mellon University


                         Monday, September 16, 1985



 Any design modification requires knowledge of whether changed features
 affect the functionality of a product, impact the producibility or are
 simply arbitrary specifications.  Good designers simultaneously consider
 the form of the product, the functional requirements and the means for
 fabrication.  Even the most modest attempts at automating design are doomed
 to fail unless these considerations are included at some level.

 A CAD database should consist of multiple representations of a product in
 terms of function, form and fabrication analogous to the traditional
 specification list, drawings and process plan.  The relationships among
 these representations is the basis for design.  Design modification may be
 facilitated by developing a syntax for describing function, form, and
 fabrication and by developing strategies for manipulating the descriptions.

 Dr. James R. Rinderle is an Assistant Professor of Mechanical Engineering
 at Carnegie-Mellon University.  He was awarded the Ph.D. degree by the
 Mechanical Engineering Department of the Massachusetts Institute of
 Technology in 1982.  He also received the Master of Science and Bachelor of
 Science degrees from MIT.  He is a member of Sigma Xi, Pi Tau Sigma, the
 ASME, Robotics International and CASA of SME.  He was named a Presidential
 Young Investigator in 1985.


-Steve Holland

------------------------------

Date: Sat, 14 Sep 1985  03:00 EDT
From: INGRIA%MIT-OZ@MIT-MC.ARPA
Subject: Workshop on Argument Structure - Brandeis


                                 The
                             Linguistics
                    and Cognitive Science Programs

                         Brandeis University

                               Present

                            A Workshop on
                               Argument
                              Structure

                        Friday, September 20th
                              9AM to 5PM
                     Sachar International Center

Presentations will be one (1) hour long with time for questions.

Speakers:

 9:30   Ken Hale
        ``A View from the Middle''

11:00   Ray Jackendoff
        ``The Role of Thematic Relations in Linguistic Theory''

 1:30   Edwin Williams
        ``Argument Structure and Heads''

 2:45   Armin Mester and Jane Grimshaw
        ``Light Verbs in Japanese'

 4:00   Howard Lasnik
        ``Subjects of NPs?''

 5:00 - 7:00
        Reception - Sachar International Center

For more information, call (617)-647-2986.

------------------------------

Date: Wed 18 Sep 85 08:22:53-PDT
From: Leslie Kaelbling <KAELBLING@SRI-AI.ARPA>
Subject: New course: The Logic of Robot Design (SU)

         [Forwarded from the Stanford bboard by Laws@SRI-AI.]


                      THE LOGIC OF ROBOT DESIGN


This course will explore theoretical issues in the design of software
for intelligent agents.  Its aim is to provide conceptual tools for
coping with complexity in robot design, covering processes from the
sensorimotor level through reasoning, planning, and linguistic
communication, emphasizing the role of formal methods in analysis and
synthesis of robot software.

The following topics will be covered:
  - applications of epistemic and temporal logic to robotics
  - automata-theoretic models of knowledge
  - inference and planning
  - logic-based tools for programming intelligent robots.

Some familiarity with basic logic and computer programming will be
assumed.  Coursework will consist of problem sets and one programming
assignment.

Instructor    : Stan Rosenschein   (stan@sri-ai; 859-4167)
Time          : TTh 11-12:15
Place         : 460-252
Course number : CS428
Units         : 3
TA            : Leslie Kaelbling   (kaelbling@sri-ai, pack@su-sushi,
				    k.kaelbling@su-lots-b; 859-2578)

------------------------------

End of AIList Digest
********************

From comsat@vpics1 Sat Sep 21 06:02:58 1985
Date: Sat, 21 Sep 85 06:02:54 edt
From: comsat@vpics1.VPI
To: france@opus   (FRANCE,RDJ,JOSLIN,ROACH,FOX)
Subject: From: AIList Moderator Kenneth Laws <AIList-REQUEST@SRI-AI>
Status: R

Received: from sri-ai.arpa by CSNET-RELAY.ARPA id a006841; 20 Sep 85 14:29 EDT
Date: Fri 20 Sep 1985 10:16-PDT
Reply-to: AIList@SRI-AI
US-Mail: SRI Int., 333 Ravenswood Ave., Menlo Park, CA  94025
Phone: (415) 859-6467
Subject: AIList Digest   V3 #125
To: AIList@SRI-AI
Received: from rand-relay by vpi; Sat, 21 Sep 85 05:55 EST


AIList Digest            Friday, 20 Sep 1985      Volume 3 : Issue 125

Today's Topics:
  Queries - FRL Sources & Parallel Rule Execution &
    Information Retrieval & Lisp/Prolog for IBM4361,
  AI Tools - Xerox 1185 & Prolog vs. Lisp,
  Expert Systems - Intellectual Honesty and the SDI

----------------------------------------------------------------------

Date: Thu, 19 Sep 85 10:01:08 cdt
From: neves@wisc-ai.arpa (David Neves)
Subject: FRL sources


I remember a message a year ago about someone having the sources to FRL.
Unfortunately I don't remember who that person was.  Could anyone who
has the sources send me mail?  -Thanks, David Neves

Usenet:  {allegra,heurikon,ihnp4,seismo,uwm-evax}!uwvax!neves
Arpanet: neves@uwvax

------------------------------

Date: Tue, 17 Sep 85 09:04:36 pdt
From: Thomas L. Zimmerman <zimmer%marlin@nosc.ARPA>
Subject: Parallel Rule Execution

The Naval Ocean Systems Center (NOSC) and Goodyear Aerospace are working
on a series of experiments to demonstrate the feasibiliy of running expert
systems on the Goodyear ASPRO parallel processor.  A unique representation
for rules and data has been developed which on paper allows the ASPRO to
test 2,000,000 rules per second for satisfaction.  This representation
scheme does put some limitations on the system involved - it appears to
require a very pure production system with no embedded control or functions in
the rules. So far a small (500 rule) system was written with this application
in mind and run on both a Symbolics and the ASPRO sucessfully.  We would now
like to convert an existing sequential expert system for parallel execution
in order to determine the degree of speedup actually available and to discover
the limitations of converting a system not originally designed for this
application.  Unfortunatly I am having trouble finding a system to convert for
this demonstration - which is why I am appealing to all of you.  We need a
reasonably sized (200-700 rule) system, preferably military in character, that
meets the above limitations that we can attempt to run on our parallel inference
engine.  This would be a no-cost way for someone to have their system speeded up
by an estimated three orders of magnitude.  Any takers?  If you're interested
please contact me:

        Lee Zimmerman
        Naval Ocean Systems Center
        Code 421
        San Diego  CA  92152
        (619) 225-6571  or zimmer@nosc

------------------------------

Date: 18 Sep 85 15:30:36 EDT
From: MARS@RED.RUTGERS.EDU
Subject: NLP for knowledge acquisition

Hi:  I am interested in info about projects which use Natural Language
Processing Techniques to analyse scientific articles or abstracts
with the aim of deriving knowledge bases from them.

I am aware of a few projects in that field (UCLA, IBM
Heidelberg, Leiden University, Chemical Abstracts), but I
would appreciate any further pointers. Please
reply directly to me, and I will summarize to the net. Thanks.
                                    Nicolaas J.I. Mars


  [I have forwarded this message and the next to the information
  retrieval list, IRList%VPI.CSNet@CSNet-Relay.ARPA.  -- KIL]

------------------------------

Date: Wed, 18 Sep 85 09:08 EST
From: Ramesh Astik <rampan%northeastern.csnet@CSNET-RELAY.ARPA>
Subject: query - Information Retrieval

I was looking for some references in synthetic organic chemistry
on a Chemical Abstract Database system.The first hit was 10,000
followed by narrowing down to 400 ! The same search by an expert
bibliographer or search assistant gave me exactly 23 article list.
This is the difference in eye-balling and machine-search.
We had  a lot of debate on the mental process of the human expert
doing the job and whether that can be mimicked on a computer or not.
Does any one know of any expert-system which can save us so
much paper work in searching  and retrieving the information?
Our University has access  to approximately 300 databases and
after the Automated search list  is obtained,most of us do
equally long eye-balling!!
Kindly send any information to RAMPAN@NORTHEASTERN.

------------------------------

Date: Mon, 16 Sep 85 14:23:22 EDT
From: "Martin R. Lyons" <991@NJIT-EIES.MAILNET>
Subject: Info on Lisp/Prolog for IBM4361


          Greetings  all.  Does anyone have any leads where I might  obtain
     a LISP  or  Prolog implementation that would run on an IBM 4361?  I am
     looking  for public domain or reasonably priced packages; and wouldn't
     you know  it,  time is of the essence.  If anyone has any leads please
     contact me at the address below.

          I will summarize and post here if there is sufficient interest.

          As always, thanks in advance!


 MAILNET: Marty@NJIT-EIES.Mailnet
 ARPA:    Marty%NJIT-EIES.Mailnet@MIT-MULTICS.ARPA
    or    @MIT-MULTICS.ARPA:Marty@NJIT-EIES.Mailnet
 USPS:    Marty Lyons, CCCC/EIES @ New Jersey Institute of Technology,
          323 High St., Newark, NJ 07102  USA    (201) 596-2932
 "You're in the fast lane....so go fast."

------------------------------

Date: 16 Sep 85 15:28 PDT
From: Fischer.pa@Xerox.ARPA
Subject: Correction: Xerox 1185 uses 80186 not 8086

Being as close as I am to the subject I'm embarassed to say (but
overjoyed to know) that I was wrong and that the 1185 and 1186
workstations use the Intel 80186 processor chip both in the IO processor
and on the IBM PC emulator boards.  Their (micro programmable) main
processor is built with bitslice devices.

But note that I never claimed to be a faultless spokes-thing for Xerox
or Xerox AI Systems, just another random attendee of IJCAI.

Sorry folks,
(ron)

------------------------------

Date: Tue, 17 Sep 1985  06:28 EDT
From: Hewitt@MIT-MC.ARPA
Subject: Prolog and Lisp

I would like to respond to the message in AILIST from Fanya Montalvo
who wrote:

       From: Hewitt

       However, it
       is not possible to make a commercially viable Common Lisp
       implementation on Prolog.  This means that any good software written
       for a stand alone Prolog system will soon appear on the Lisp Systems
       but NOT vice versa.  Therefore the stand alone Prolog systems will
       always have impoverished software libraries by comparison with the
       Common Lisp systems and will not be commercially viable in the long
       run.

    From: Montalvo

    This type of argument strikes one as historical accident not as anything
    fundamental.  And by that accident I mean vagaries of the market place.
    Could you say more about how it's fundamental, or do you agree that it's
    historical accident?


This is a very good question!  However, in this case I believe that
the commercial marketplace is reflecting some very real deficiencies
in Prolog and its underlying conceptual basis of LOGIC as a
PROGRAMMING language.  As far as I can tell no one in the Prolog
community believes that they will EVER be able to construct a
commercially viable Common Lisp on Prolog.  That indicates that there
are some critical limitations of Prolog that are not just historical
accidents.  I believe that the deficiencies of Prolog cannot be
repaired within the framework of LOGIC as a PROGRAMMING language.

------------------------------

Date: Wed, 18 Sep 85 18:05 EDT
From: Hewitt@MIT-MC.ARPA
Subject: Lisp vs. Prolog vs. ?

I agree with Wayne McGuire who wrote as follows to this list:

    ... one might speculate that perhaps the bulk of AI code
    will be written neither in Lisp nor Prolog (not even an enhanced
    Prolog which can elegantly manipulate and coordinate in the same
    conceptual space multiple worlds, logics, and beliefs), but a
    higher-level language, perhaps using Lisp and/or Prolog as a base.

However, I would like to point out that Prolog is not a suitable base
to implement the kind of higher-level languages that Wayne envisions
since it does not provide the appropriate primitives.  Implementing
higher-level Artificial Intelligence languages requires efficient data
structure and control primitives that are not part of Prolog.  I agree
that Common Lisp is too low level to use very much to directly
implement applications.  However, Lisp has historically been an
excellent implementation language for implementing higher-level
Artificial Intelligence languages.  Indeed some of the best Prolog
systems and other logic systems such as FOL (Wheyhrauch et.  al.), MRS
(Genesereth et. al), the Pure Lisp Theorem Prover (Boyer and Moore),
and LogLisp (Robinson et.  al.)  are implemented on Lisp.

------------------------------

Date: 18 Sep 85 15:48 EDT
From: WAnderson.wbst@Xerox.ARPA
Subject: Intellectual honesty and the SDI

At the recent IJCAI at UCLA I picked up a couple of papers at the GE
exhibit booth.  One of these,  entitled "A Tutorial on Expert Systems
for Battlefield Applications," (delivered at a meeting of the Armed
Forces Communications and Electronics Association last May) states that
"AI systems that incorporate human expertise may be the only way" to
fill the gap between availability of people and complexity of military
hardware.  In defense of this strategy the author states:

        - In contrast with humans, AI systems are good at handling the myriad
details of complex situations, such as often occur in military settings.

        - In contrast with other computational approaches that are more formal
and algorithmic, AI systems are more robust:  they are designed to deal
with problems exhibiting uncertainty, ambiguity, and inaccuracy.

I find it appalling (and frightening) that statements like this can be
presented in a technical paper to military personnel.   The author
(according to the references) has contributed widely to the AI field at
many conferences. It's simply ludicrous to state that current AI systems
are better in battlefield situations than humans.  What was the last AI
system that could drive a tank, carry on a conversation, and fix a
broken radio whilst under enemy fire?  The second comment is equally
misleading.  To  contrast "formal and algorithmic" with "robust" seems
to imply that algorithms and formal procedures are inherently not
robust.  On what is this claim based?  (There is no reference attached
to either statement.)  It sounds like a recipe for unreliable software
to me.

How can someone write this stuff?  I know, to make money.  But if this
is the kind of information that is presented to the military, and upon
which they make decisions, then how can we expect any kind of fair
assessment of the possible projects in the Strategic Computing (and
Defense) Initiatives?  How can this kind of misinformation be rebutted?

Bill Anderson

P.S. The full reference is available on request.

------------------------------

End of AIList Digest
********************

From comsat@vpics1 Sun Sep 22 21:03:22 1985
Date: Sun, 22 Sep 85 21:03:17 edt
From: comsat@vpics1.VPI
To: france@opus   (FRANCE,RDJ,JOSLIN,ROACH,FOX)
Subject: From: AIList Moderator Kenneth Laws <AIList-REQUEST@SRI-AI>
Status: R

Received: from sri-ai.arpa by CSNET-RELAY.ARPA id a005729; 22 Sep 85 1:46 EDT
Date: Sat 21 Sep 1985 21:56-PDT
Reply-to: AIList@SRI-AI
US-Mail: SRI Int., 333 Ravenswood Ave., Menlo Park, CA  94025
Phone: (415) 859-6467
Subject: AIList Digest   V3 #126
To: AIList@SRI-AI
Received: from rand-relay by vpi; Sun, 22 Sep 85 20:53 EST


AIList Digest            Sunday, 22 Sep 1985      Volume 3 : Issue 126

Today's Topics:
  Expert Systems - Hype

----------------------------------------------------------------------

Date: Sat 21 Sep 85 17:40:46-PDT
From: Gary Martins <GARY@SRI-CSLA.ARPA>
Subject: Are We Ready For This ?


In reading and replying to Bill Anderson's msg in a recent edition of
AIList, it occurred to me that there may be broader interest out there
in a discussion of the question of objectivity and truthfulness in the
fields of "AI", "expert systems", "knowledge engineering", etc.

I have repeatedly observed the following at conferences, symposia,
briefings, etc., and in "AI" journals and magazines:

        - non-existent systems are described and debated as if
           they were real
        - unsuccessful developments are described as operationally
           validated
        - expensive and ineffective methods and "tools" are said to
           solve difficult problems in computing

This happens too often to be accidental or aberrational.  Those
responsible include highly placed figures from some of our most
prestigious institutions.

It would greatly interest me to understand:

        - why this happens ?
        - is this good or bad for "AI" ?
        - does this happen in all high-tech fields, or is "AI"
           unique ?
        - what can or should be done about it ?  by whom ?

Would AIList readers and contributors like to address these issues,
or is this set of topics too "sensitive" for the community to address
at this time ?

Many thanks!

Gary R. Martins

------------------------------

Date: Fri 20 Sep 85 20:33:22-PDT
From: Gary Martins <GARY@SRI-CSLA.ARPA>
Subject: Phony claims in AI

Bill -

I read your recent AIList comment with a mixture of amusement and
amazement.  Will you pardon my asking: where have you been ?  So far
as I have been able to probe, the entire edifice of "AI"  -- and most
especially "expert systems" -- is built on a foundation of the most
outrageous baloney.   At an endless procession of conferences,
symposia, press briefings, etc., the most outrageous claims are
relentlessly presented for the performance of a number of "AI"
systems.  I have personally been associated with several of these
developments, and I can testify that not a single one of them can
honestly be said to "work" in any authentic sense of that word.

There are apparently a few utterly trivial systems that "work", after a
fashion.  But the astronomical development costs of these toys should
make any rational user shrink from following a similar path.

Yet, despite these plain and rather obvious facts, military and industrial
audiences are daily told about the "successes" of "AI" and "expert
systems".  The sorts of claims you refer to are entirely ordinary and
routine in this context.

One has to wonder, is this what modern science and technology is all
about ?  Or is "AI" just a special case of extreme dishonesty ?

Gary R. Martins

PS -- Yes, send me the references, just for the record!

------------------------------

Date: Fri, 20 Sep 85 23:50:57 PDT
From: Richard K. Jennings <jennings@AEROSPACE.ARPA>
Subject: AI and Satellite Control

        As one of the military (Capt USAF) standing guard against
over-enthusiastic claims by DoD contractors, I would like to assure
readers of this net that the USAF is not as gullable as Bill Anderson
fears in his recent message.
        My job for the past year is to develop an architecture which
is compatible with SDI which incorporates Expert Systems as appropriate.
Essentially Beau Shields conveyed the essence of our thinking in his
recent article published in Computer Design.  Expert Systems assist
experts with tasked well understood by experts, providing more time
for experts to handle the tough problems.
        To my knowledge, no person is seriously considering cutting
people out of the loop any more than you can completely replace
the engine in your car with a turbo charger.  We (the Air Force
Satellite Control Facility, Plans & Programs Division) plan to issue
the next version of our masterplan in late December, which will
describe our thinking in detail.  If you can come up with a good
reason why I should send you a copy, send a request to:

        AFSCF/XRP
        Attn: Capt Richard Jennings
        PO Box 3430
        Sunnyvale, CA 94088-3430

on letterhead requesting a copy of REVISION G, and stating your reason.
The document is not classified, but for obvious reasons, distribution
is limited, and I may have to argue for your copy on a case by case
basis.
        People have to do a lot more than write fiction about their
expert systems to get our serious interest.  Rome Air Development
Center, and the AFSCF both now have Symbolics 3670's to evaluate
these systems: RADC in the context of the current state of the art,
and the AFSCF in the context of satellite control.  The AFSCF is
also in the process of putting IBM-PC AT's into operations areas to
evaluate the PC-AT as a delivery vehicle in the context of distributed
shells such as KEE.
        One large defense contractor also know for dominating the
PC marketplace, as in *** PC, has tried for 4 years to solve one
of our operational problems *using their own funds* without acceptance.

        Back to GE, they are visiting us next week, and will get a chance
to show their system to the people who fly satellites for a living if
they sufficiently impress the Plans and Programs people.

Regards, Rich.

PS. Standard Disclaimer: I definitely hold opinions, but I am not always
successful at conveying them to my employer -- so they should be considered
my own personal opinions.

PSS. Perhaps I have been going after a gnat with a terminal air defense
system, but the concerns raised by Bill Anderson seemed to be a good
leadin to a request for information (by me) about what we should be
doing.

ARPA: jennings@aerospace
AV:   799-6427
ATT:  408 744-6427
sNAIL: AFSCF/XRP(Jennings), PO Box 3430, Sunnyvale CA, 94088-3430.

------------------------------

Date: Sat, 21 Sep 1985  03:57 EDT
From: MINSKY%MIT-OZ@MIT-MC.ARPA
Subject: AIList Digest   V3 #125


I am amused at Bill Anderson's flame, in view of his righteous indignation
about an AI author's boasts about the merits of AI programming.

   It's simply ludicrous to state that current AI systems are better
   in battlefield situations than humans.

>From what we could see of the paper in question, there was no
suggestion about being better than humans.  The suggestion was that AI
systems are better than conventional software.

     What was the last AI system that could drive a tank, carry on a
    conversation, and fix a broken radio whilst under enemy fire?

To my knowledge, ONLY AI systems, so far, can drive cars, carry on
conversations, and debug electronic systems.  They don't do these jobs
very well yet, but they're coming along -- and have no competition in
those areas from any other kind of software.  So one could certainly
say that  Anderson's representation is "appalling".

   The second comment is equally misleading.  To contrast "formal and
   algorithmic" with "robust" seems to imply that algorithms and
   formal procedures are inherently not robust.  On what is this claim
   based?  It sounds like a recipe for unreliable software to me.

I think it is a fair claim.  This is because it appears infeasible to
prove the correctness of non-trivially complex programs, especially
because of the profound weakness of all known formal specification
languages, without which formal systems are entirely impotent.  In
such circumstances, AI methods which employ many kinds of redundancy
and plausibility tests, e.g., comparing plans to models, are the best
methods available.  They have a long way to go, but I suspect that,
for sufficiently complicated jobs, even the crude "expert systems" of
today are already ahead of all other practical forms of commercial or
theoretical programming methods.

     How can someone write this stuff?  I know, to make money.  But if
     this is the kind of information that is presented to the
     military, and upon which they make decisions, then how can we
     expect any kind of fair assessment of the possible projects in
     the Strategic Computing (and Defense) Initiatives?  How can this
     kind of misinformation be rebutted?

This is a complicated subject and it won't clarify it by making that
kind of accusation.

I have not heard enough good ideas to be convinced, incidentally, that
SDI is a feasible replacement for MAD.  But, I certainly am dismayed
by the strange arguments I've heard from the CS community about why
the hard problem with it is "software".  It seems to me that the hard
problem is centered around the proposed defensive weapons, and if
they're any good (which I doubt) then aiming and controlling them
should not be unusally difficult.  The arguments I've seen to the
contrary all seem to be political flames.

So is this, I suppose, hence I don't plan to defend what I've said
here in more messages.

------------------------------

Date: Sat, 21 Sep 85 10:35 EST
From: Carole D Hafner <hafner%northeastern.csnet@CSNET-RELAY.ARPA>
Subject: Honesty and the SDI: Reply to Bill Anderson

I was pleased to see Bill Anderson's comments on AILIST, and I admire his
courage for publicly criticizing the "Expert Battlefield Management System"
research.  He is not alone - there are many people in the AI field and
Computer Science in general who view these projects - with their definite
schedules for implementation of the various components - with alarm.

However, to say or imply that unscrupulous people are making these promises
just to "make money" is an oversimplification.
>From the beginning of Computer Science as a separate subject in the early
1960's (or perhaps a bit earlier), much if not most of the research funding
has come from the DOD.  This is especially true for AI.  This is not the
case in most other Western countries, where there are specific agencies
for funding scientific research, and the military services are more focused
on military projects.

Over the years, the DOD-supported research groups provided a wonderful
environment to pursue AI research - the most money, the best equipment, access
to ARPANET, etc.  And the DOD allowed the researchers a great deal of freedom
in pursuing their interests.  As a result, many of the best researchers ended
up working in these groups.

I have always felt that this is, structurally, a very dangerous situation both
for Computer Science and for the country.  For a very simple reason: if the
livelihood of a majority of AI researchers is dependent on the DOD, how can we
have a free and open debate on the use of computers in the military?  Now it
looks as if some of my fears are coming true.  I know some of the researchers
involved in SDI have severe misgivings about it - but if you have a 20-30
person group who all depend on the DOD for their jobs, it's a tough situation.
I personally would like to see groups such as "Computer Professionals for
Social Responsibility" attack the structural problem rather than
"Star Wars" per se.

It is likely that the promises being made for the battlefield management
systems will not be fulfilled - since researchers in industrial labs are still
struggling with the problem of recognizing stationary objects in a "bin of
parts", and most industrial vision systems have to use special lighting
to recognize separate parts moving on a conveyer belt.  Furthermore, speech
understanding systems require ideal conditions and even then only work with
very limited vocabularies.  So it's interesting to wonder how the description
of the complex events taking place during the battle will be communicated to
the computer.

Perhaps the field of AI is fortunate that the SDI is happening now instead of
20 years from now.  We have a chance to get our research funded on a different
basis, so that this unfortunate situation won't happen again.

Carole Hafner
College of Computer Science
Northeastern University
csnet: hafner@northeastern

------------------------------

End of AIList Digest
********************

From csvpi@vpics1 Mon Sep 23 04:49:51 1985
Date: Mon, 23 Sep 85 04:49:47 edt
From: csvpi@vpics1.VPI
To: france@opus   (FRANCE,RDJ,JOSLIN,ROACH,FOX)
Subject: From: AIList Moderator Kenneth Laws <AIList-REQUEST@SRI-AI>
Status: R

Received: from sri-ai.arpa by CSNET-RELAY.ARPA id a003438; 23 Sep 85 2:41 EDT
Date: Sun 22 Sep 1985 22:46-PDT
Reply-to: AIList@SRI-AI
US-Mail: SRI Int., 333 Ravenswood Ave., Menlo Park, CA  94025
Phone: (415) 859-6467
Subject: AIList Digest   V3 #127
To: AIList@SRI-AI
Received: from rand-relay by vpi; Mon, 23 Sep 85 04:32 EST


AIList Digest            Monday, 23 Sep 1985      Volume 3 : Issue 127

Today's Topics:
  Seminars - Spencer-Brown Seminar in San Francisco &
    Knowledge Representation (SRI) &
    Knowledge-Directed Database Management (IBM-SJ) &
    Learning Spatial Concepts (CSLI) &
    2nd-Order Lambda Calculus (UPenn) &
    Computer Tutor for Programming Recursion (UCB),
  Course - AI Theories of Belief and Action (SU)

----------------------------------------------------------------------

Date: Wed, 18 Sep 85 13:15:23 pdt
From: william@aids-unix.ARPA (william bricken)
Subject: Spencer-Brown seminar in San Francisco


G. Spencer-Brown, the author of LAWS OF FORM, will be presenting
a five-day seminar at the Miyako Hotel in San Francisco, from
October 7 through 11, 1985.

Morning sessions will address the technical methodology of Laws
of Form.  Afternoon sessions will address "open intelligence",
Spencer Brown's ideas on life and living.

Registration costs:  $650 for both sessions,
                     $300 for afternoons only.

Information:  UNI-OPS
              260 Marshall Drive
              Walnut Creek, CA  94598-2833
              phone Walter Zintz, (415) 945-0048


PERSONAL COMMENTS:  Spencer-Brown's work on the 4-color map theorem was
discussed in this list early last year.  The man is an iconoclast, and
has managed to alienate a significant portion of most audiences.  The
afternoon session may be anything from EST training (which Spencer-Brown
is said to have originated) to metaphysical ecstacy.  The application of
Brownian mathematics to representation theory and automated theorem
proving in AI is profound.  Followers of his work range from mystics
to mathematicians;  he is both.  I have heard that he is not talking
to mathematicians.

william

------------------------------

Date: Wed 18 Sep 85 15:19:44-PDT
From: LANSKY@SRI-AI.ARPA
Subject: Seminar - Knowledge Representation (SRI)


                        THE SKY IS A BLUE COLOR

                           Marcel Schoppers
                      SRI International AI Center

                        11:00 AM, MONDAY, September 23
       SRI International, Building E, Room EJ228 (new conference room)


        I present a representation which will allow us to encode and
        access much of the information contained in simple descriptive
        statements. "The sky is a blue color" entails that blue is a
        color, that the sky has a color, that the sky is blue, that the
        sky is visible, and that the sky is located both spatially and
        temporally. These generalizations are so trivial that they border
        on presuppositions, and they have consequently been taken for
        granted in semantic nets and frames. Making such information
        explicit greatly increases the density and usefulness of stored
        knowledge. One interesting application is to disambiguate an
        adjective/predicate to suit a given noun/extension.

        My representation is parsimonious, having O(three) primitive con-
        structs (link types); is highly irredundant, since blue(sky) and
        color(blue) reference the same blue; and is static, being inten-
        ded to formalize and implement "massively parallel" deterministic
        connectionist question-answering systems. Predicates, relations,
        and simple forms of quantification all emerge as by-products of
        function applicability and set inclusion. Viewed as a logic the
        representation is potentially O(w), intensional and inconsistent.

        The talk will touch on issues in philosophy of logic and linguistics.
        I will especially appreciate constructive criticism in those areas,
        as I am a novice there.

------------------------------

Date: Wed, 18 Sep 85 15:34:00 PDT
From: IBM-SJ Calendar <CALENDAR%ibm-sj.csnet@CSNET-RELAY.ARPA>
Subject: Seminar - Knowledge-Directed Database Management (IBM-SJ)

                     IBM San Jose Research Lab
                          5600 Cottle Road
                         San Jose, CA 95193

                              CALENDAR
                     SEPTEMBER 23 - 27, 1985

Thurs., Sept. 26  Computer Science Seminar
10:00 A.M.        PROBE: A RESEARCH PROJECT
Aud. B            IN KNOWLEDGE-DIRECTED DATABASE MANAGEMENT
                  Conventional record-based DBMSs will be
                  inadequate for many of the knowledge-intensive
                  information processing applications (e.g.,
                  business and industrial automation, CAD/CAM, and
                  military command and control) of the future.
                  These applications require integrated access to
                  a variety of information types (e.g., images,
                  maps, signals, text) not currently supported by
                  DBMSs.  Also, they rely on specialized knowledge
                  or expertise for processing the new information
                  types; for many of these types, specialized
                  storage devices and processors (e.g.,
                  workstations, image enhancers, solid modellers),
                  are or will be available.  Currently, DBMSs have
                  no general facilities for efficiently
                  assimilating and utilizing this special
                  knowledge or for incorporating these specialized
                  processors into their own processing.  The
                  objective of the PROBE project is to develop an
                  advanced DBMS effective for these
                  knowledge-intensive applications.  Our approach
                  is to enhance existing DBMSs with (a)
                  user-defined object classes as the basis for
                  defining new information types and operations
                  and for integrating specialized processors, (b)
                  dimensional (space and time) concepts, which are
                  a common characteristic of many of the new
                  information types, and (c) recursive predicates
                  and queries, which provide intensional knowledge
                  processing capabilities essential for many of
                  the applications.  In each case, it is necessary
                  to augment both the logical (data model, query
                  language) components and the physical (storage
                  structures, access methods, query processor)
                  components of the DBMS.  In this talk, we
                  describe approaches to addressing all these
                  issues.

                  Dr. U. Dayal, Computer Corporation of America
                  Host:  C. Mohan

------------------------------

Date: Thu 19 Sep 85 08:14:26-PDT
From: Emma Pease <Emma@SU-CSLI.ARPA>
Subject: Seminar - Learning Spatial Concepts (CSLI)

         [Excerpted from the CSLI Newsletter by Laws@SRI-AI.]


    ``Crossing the Rubicon: From a Physics of Dead Coordinate Spaces
               to a Physics of Living Coordinate Spaces''

   Dr. Peter Kugler, The Crump Institute for Medical Engineering, UCLA
            Monday, September 23, 1985, 2:15pm, Ventura Hall

      This talk will be about self-organizing systems that involve
   low-energy (nonforce) coupling and the nature of the predicates that
   constitute the low-energy descriptors, and will be organized around
   issues pertaining to general problems of language and information.
   The emphasis will be on systems that generate (self-assemble) new
   levels of description.  These new levels constitute new languages
   parasitic on the lower level languages but not reducible to their
   predicates.  In the self-organizing systems of interest it is the
   ``coordinate spaces,'' which are themselves evolving, that become the
   important objects of study.  Instead of assuming a fixed coordinate
   space, when the interest focuses on trajectories, attention is devoted
   to the coordinate space itself, since this is what provides the semantics.
      This approach is very similar to developments in computer
   architecture that focus on parallel processing.  In these machines
   (connection machines, Boltzmann, etc.) the machine language
   self-organizes (e.g. programs itself through the emergence of new
   stable configurations), and the new predicate descriptions play the
   role of symbols in terms of their opacity with respect to the lower
   level language.  The machine language `gives birth' to the symbolic
   level of description.  This situation contrasts dramatically with that
   of von Neumann machines, for which the symbolic language is
   ontologically independent of the machine language.  A symbolic
   language can run on any of an infinite variety of mechanistic
   substrates, the primacy of the symbol prevailing over the substrate
   machine.  The approach advocated here, puts the focus on the machine
   level of interaction, thus preserving an ontological continuity and
   avoiding mind/body, syntactic/semantic, etc. problems.

------------------------------

Date: Fri, 20 Sep 85 11:06 EDT
From: Tim Finin <Tim%upenn.csnet@CSNET-RELAY.ARPA>
Subject: Seminar - 2nd-Order Lambda Calculus (UPenn)


THE 2ND ORDER LAMBDA CALCULUS - Dale Miller, Penn CIS
Joint Mathematics / Computer Science Logic Colloquium
4:40 Monday 23 September 1985, DRL 4E17, University Of Pennsylvania

In this talk we will present the description of an extended type lambda
calculus where types can be used as values.  We will illustrate how this
language can be used to perform computation in novel fashions and what
semantics might work with it.

------------------------------

Date: Wed, 18 Sep 85 11:12:07 PDT
From: davies%ucbcogsci@Berkeley (Catherine Davies)
Subject: Seminar - Computer Tutor for Programming Recursion (UCB)

                         BERKELEY COGNITIVE SCIENCE PROGRAM
                                     Fall 1985
                       Cognitive Science Seminar -- IDS 237A

           TIME:                Tuesday, September 24, 11:00 - 12:30
           PLACE:               240 Bechtel Engineering Center
              (followed by)
           DISCUSSION:          12:30 - 1:30 in 200 Building T-4

           SPEAKER:          Peter  Pirolli,  School  of  Education,
                             UC Berkeley

           TITLE:          ``A Cognitive Model and Intelligent Computer
                             Tutor for Programming Recursion''


           Recursion is typically a novel concept  for  programming  stu-
           dents  that  causes  them  considerable  grief and difficulty.
           Thus, the study of how people learn to program recursive  pro-
           grams  provides a useful domain for addressing the psychologi-
           cal issue of how fundamentally new knowledge  is  acquired  as
           well  as  the  instructional issue of how to teach a difficult
           programming concept.  I will present a production system model
           that  addresses  expert  and  novice  problem-solving, problem-
           solving by  analogy,  and  skill  acquisition  in  programming
           recursive  functions.   This  research served as the basis for
           the development of recursion lessons in  an  intelligent  com-
           puter  tutor for programming LISP.  Specifically, a simulation
           model of ``ideal'' and ``buggy'' novice problem-solving was con-
           structed  for  coding  recursion.   Using this model, the LISP
           tutor provides instruction, hints, and feedback in the context
           of  programming.  The LISP tutor also maintains a model of the
           skill development of  individual  students.  Evaluations  show
           that the LISP tutor is more effective in teaching introductory
           LISP  programming  than   good   classroom   instruction   and
           approaches the effectiveness of human tutors.

------------------------------

Date: Wed 18 Sep 85 09:26:04-PDT
From: Kurt Konolige <KONOLIGE@SU-SCORE.ARPA>
Subject: Course - AI Theories of Belief and Action (SU)

         [Forwarded from the Stanford bboard by Laws@SRI-AI.]


Announcement of a new course in Artificial Intelligence:


        CS429:  Formal AI Theories Of Belief and Action

Instructor:  Kurt Konolige, SRI International and CSLI

Description: We will discuss some formal commonsense theories of
belief and action that have emerged over the last 5-7 years.  This
course is intended both as a survey of recent research in this area,
and as an introduction to the application of techniques from formal
logic to AI problems.  The emphasis is on acquiring a facility for
working with the tools of logic, especially by analyzing and
critiquing current AI research.  The following is a list of topics we
will cover:

        1. Knowledge and Belief
                - Kripke and sentential semantics
                - Modal logics for knowledge and belief
                - Proof methods for quantified modal logics,
                        including recent resolution methods

        2. Formal planning theories
                - The situation calculus
                - Integration of action and belief

        3. Further topics
                - Introspective belief theories
                - The relation between introspection and nonmonotonic
                        reasoning


Prerequisites: Some familiarity with basic concepts from first-order
logic will be assumed, e.g., students should know what what a model
is, how to construct proofs from axioms and rules of inference, and so
on.

Requirements: Graduate-level course for CS students, 3 units.
Students will be expected to read 1-2 papers a week.  There will be
one problem set a week, and either a project or final exam.


Time:  MWF 11am (50 min), MJH 352, Fall 1985

------------------------------

End of AIList Digest
********************

From comsat@vpics1 Tue Sep 24 09:33:35 1985
Date: Tue, 24 Sep 85 09:33:31 edt
From: comsat@vpics1.VPI
To: france@opus   (FRANCE,RDJ,JOSLIN,ROACH,FOX)
Subject: From: AIList Moderator Kenneth Laws <AIList-REQUEST@SRI-AI>
Status: R

Received: from sri-ai.arpa by CSNET-RELAY.ARPA id a013353; 24 Sep 85 0:32 EDT
Date: Mon 23 Sep 1985 20:35-PDT
Reply-to: AIList@SRI-AI
US-Mail: SRI Int., 333 Ravenswood Ave., Menlo Park, CA  94025
Phone: (415) 859-6467
Subject: AIList Digest   V3 #128
To: AIList@SRI-AI
Received: from rand-relay by vpi; Tue, 24 Sep 85 09:25 EST


AIList Digest            Tuesday, 24 Sep 1985     Volume 3 : Issue 128

Today's Topics:
  Query - Expert Systems for Knowledge Engineering,
  Knowledge Representation - Cooperative Structuring of Information,
  Literature - AI Interactions, Vol. 1, No. 1 and 2 &
    Aerospace Applications of AI Proceedings,
  Expert Systems - Hype

----------------------------------------------------------------------

Date: Mon, 23 Sep 85 12:13:28 mdt
From: crs%a@LANL.ARPA (Charlie Sorsby)
Subject: Knowledge Engineering


> Date: 14 Sep 1985  07:21 EDT (Sat)
> From: Wayne McGuire <Wayne%MIT-OZ@MIT-MC.ARPA>
> Subject: Lisp vs. Prolog vs. ?
>
> Predicting what language will be most used for AI is problematic since
> there seems to be little agreement about what AI is.  Let's assume,
> however, that over the next decade or two ''AI'' will refer primarily
> to expert systems.
> ...
>      (1) Natural language understanding systems which can translate
> raw text directly into working knowledgebases.  We probably won't see
> such systems on a large scale, which can operate with any degree of
> reliablity, for at least another twenty-five years, and perhaps much
> longer.
>
>      (2) The laborious interviewing of domain experts by expert system
> experts (if you will), and the transcription of those interviews into
> programs.
>
>      (3) The direct encoding of knowledge into expert systems by
> domain experts themselves.

What work is being done toward the objective of combining (2) and (3)?
I. e. who is working on "expert system" expert systems incorporating
the knowledge of these expert system experts into an expert system
that will interview experts in other fields to free the human expert
system experts from the laborious interviewing tasks so that they can
do more creative work?

I just read that paragraph!  All those "experts" and "systems" sure
make it read as double talk but it is an honest question.  Is any
work being done in this area?  Thanks.

Charlie Sorsby
...!{cmcl2,ihnp4,...}!lanl!crs
crs@lanl.arpa

------------------------------

Date: 14 Sep 1985 16:07-EDT
From: Lowe@NYU-CSD2
Subject: Cooperative structuring of information

             [Excerpted from the IRList by Laws@SRI-AI.]

Readers of IRList may be interested in research I have been doing on methods
for information retrieval that are not based on the use of keywords.  [...]

Therefore, I have been developing a
structured representation for debate in which the computer maintains a
record of the reasoning behind each decision.  Rather than simply voting on
the correctness of each item in the database, users are required to indicate
which items of evidence support or refute a particular conclusion.  Not only
are users more likely to agree on whether specific evidence supports a
conclusion than they are to agree on the conclusion in the abstract, but the
representation provides a record for each user of what others have
considered to be the best available evidence bearing on each conclusion.
The representation is used not only to debate aspects of presentation and
indexing, but also to represent the content of much of the material in the
database as a snapshot of the reasoning process that links the concepts in
mind of each user.

The specific representation that is used for debate is derived from the
theory of argument developed by the British philosopher Stephen Toulmin.
There is not space here to give a full explanation of the system, but I have
written a fairly detailed paper on the topic.  This paper was published as
"The representation of debate as a basis for information storage and
retrieval" by David G. Lowe, AFIPS Conference Proceedings Volume 53, 1984
National Computer Conference, pp. 595-603.  A more extensive version of this
paper will soon be published in the International Journal of Man Machine
Studies.  I will be happy to mail copies to anyone who sends me their U.S.
mail address.  I can be reached at LOWE@NYU-CSD2 on the ARPANET or the
following address:

    Prof. David Lowe
    Courant Institute of Mathematical Sciences
    251 Mercer Street
    New York, NY  10012

[...]  My own research background is in
artificial intelligence, but I have come to believe that the best route to
progress lies in having the computer represent the content of information in
the manner of AI systems while leaving the input task up to human users.
This type of system is well within the scope of existing technology and
would greatly increase the range of applications for information retrieval.

------------------------------

Date: 22 Sep 1985 14:17-CST
From: leff%smu.csnet@CSNET-RELAY.ARPA
Subject: AI Interactions, Vol 1, No 1 and 2

AI Interactions is published by the Texas Instruments' Data Systems Group

AI Interactions, Volume 1 Number 1, August 1985 summary:

Discussions of TI products: Explorer (Lisp Machine), Personal
Consultant (Expert System building tool), Arborist (decision tree
tool), NaturalLink (menu based natural language system) and Speech
Command (speech input).

Discussion of Campbell's Soup developing expert system to diagnose
large "cookers" which produce soup.

The California Firm, The Scientific Press, is developing a textbook
on decision analysis based on Arborist.

TI is supporitng expert system development projects at various
universities including:

Statistical Consultant, Carleton College
Weld Selector, Colorado School of Mines
Analysis and prevention of mechanical failures, Duke University
Material Handling Equipment Selector, North Carolina State University
Controlling Plant Life in Ponds, North Texas State University
Credit Limits for Industrial Customers, University of Delaware
Health Care Billing Advisor, Ohio State University
Utilizing Part Characteristics to Determine Feeding and
  Orienting Devices for Automatic Assembly, Texas A&M University
Expert Linear Programming System, The American University
Predicting and Measuring the Risk of a Small Business Becoming
  Insolvent, University of Texas at Dalls
Expert General Library Reference Work, Drexel University


AI Interactions, Volume 1 Number 2, September 1985 Summary:

Discussion of 42 million dollar Explorer contract by Sperry Corporation

Work done by Marc Victor in using Arborist to help lawyers decide
whether to continue with a law suit and settle.

Some technical tips on using Arborist and Personal Consultant

TI is selling a Personal Computer Plus for $2950.  It
supports compiled lisp and 2000 knowledge base elements (rules and
unique parameters).  It also adds graphics and extended
frame capability.   Personal Computer Consultant itself is
selling for $950 or with comprehensive training for $1750.

Infomart, the first shopping mall devoted solely to information
technology, is using a personal computer based expert system
called SNAP to help first time users help them decide what kind
of computer they need.

Carnegie-Mellon and National Bureau of standards has developed an
expert system to evaluate soil prior to excavation of shallow
trenches.  This is designed to help prevent cave ins.

------------------------------

Date: 23 Sep 1985 21:40-EDT
From: cross@wpafb-afita
Subject: Conference Proceedings - Aerospace Applications of AI

The proceedings for the First Annual Aersopace Applications of
Artificial Intelligence are available.  The cost is $30.00.  Send
a check or money order to:
       AAAIC'85
       PO Box 31250
       Dayton, Ohio 45431-0250

For information call (513) 426-8530.

------------------------------

Date: Sun 22 Sep 85 17:16:17-PDT
From: Bill Poser <POSER@SU-CSLI.ARPA>
Subject: exaggerated claims

        In response to Bill Anderson's observation about grossly exaggerated
claims for AI systems, I don't think that this has a purely pecuniary
motivation, althought that certainly may play a role. As Herbert Dreyfus
documents in the first part of his "What Computers Can't Do", grossly
exaggerated if not blatantly false claims about the capabilities of AI
programs have been common from the very beginning, even in cases
(such as chess playing programs) where there was no monetary gain in sight.

------------------------------

Date: Sun, 22 Sep 85 19:44:48 PDT
From: Richard K. Jennings <jennings@AEROSPACE.ARPA>
Subject: SDI/AI/Free and open Debate

        The Strategic Computing Program (DARPA) and SDI are opportunities
for technologists to convince the US Military that they have something to
offer.  Contrary to some of the recent comments on this net (and on
ARMS-D) the US Military is not constituted from defunct latin american
dictatorships.
        There is a raging debate within the military on the utility of
AI for battle management, and the USAF *pays* people to shoot holes
in it.  For those interested in the history of technology, most of the
things we take for granted (microelectronics, automobiles, planes,
interstate highway system) were gestated and field tested by the
US Military.
        SDI (ie. Space Development Initiative) is laying the ground work
for the commercialization of space which we will all take for granted
in 2000 or so.  The AI community (Minsky et al) feel that they have
something to offer, and I concur with providing them funding to put up
or shut up.  As usual, we will probably find that their initial claims
were a bit optimistic, but in the end they will have made a fundamental
contribution to the fabric of the incomparable standard of living
afforded by our nation.
        If you are willing to stay off the interstate higways, the
inland waterways, airplanes and other fruits of technology ripened
by close association (computers, and computer networks as has been
pointed out) -- worry about the military and AI and SDI.  But upon
close inspection, I think it is better that the military have the
technology and work the bugs out on trivial things like autonomous
tanks BEFORE it is an integral part of an artificial life support
system.

Rich.

------------------------------

Date: 23 Sep 85 09:22:00 EDT
From: "CUGINI, JOHN" <cugini@nbs-vms>
Reply-to: "CUGINI, JOHN" <cugini@nbs-vms>
Subject: AI hype


I've been reading the laments, complaints, etc regarding AI hype
with some interest; here's my $.02 worth.  I believe that the level
of promotional gas *is* higher in expert systems, AI, etc, than in
other aspects of the computer field (e.g., graphics, DBMS), and
than in many sciences (chemistry..) and engineering disciplines
(bridge-building...).  Howcome??  Well, it seems to me that a
unique aspect of AI is that it is involved with commercial
products for which we have *a priori* expectations as to
performance, because we are already familiar with a system that
does the same thing.

Notice the difference in reaction: if someone tells you (before
you've ever heard of VCRs) that he's got a marvelous machine
that will let you record and play back TV shows, you're happy
that such a thing is possible at all.  You are willing to accept
extra constraints and features as "part of the package" (eg you
can't record and play at the same time, you can pre-set to
record at some future time, a tape is good for 6 hours, ...).

But if someone tells you he's got a machine that will: diagnose
blood diseases, read a map, drive a car, compose music, play chess,
do arithmetic, etc, etc, the immediate question is: does the machine
do it better or worse than me, or some other representative of the
species?  If the machine is a lot better (200 googol floating-point
square roots per nanosecond or whatever) we are suitably
impressed and will buy several.  But if the map-reader can't
tell the difference between a secondary road and a river, well...

Take a physical analogy: suppose someone were selling a machine
that would chop and stack firewood (all by itself).  Aside from
the cognitive capabilities involved, wouldn't we expect that
such a machine could stack at least as neatly as people? Handle
wood chunks of at least a reasonable size?  Complete the task
at least as fast as a person?  Justifiably or not, we would
probably ask whether we were better off buying the machine, or
just paying someone to do the job.

Since AI, by definition, seeks to replicate areas of human
cognitive competence, its results will tend to be judged in
light of human performance.  And, lurking in the background
is the economic question: Am I better off hiring humans or
buying expert systems to get this job done?  No such issue
arises with VCRs, or with DBMSs, for that matter.  That is,
hiring people is not a practical alternative - either the
capability is worth the price or it's not.

And so, in semi-conscious response to this attitude, purveyors
of AI software feel compelled to make their wares sound
impressive, not only with respect to what's been done a year
ago, but with respect to human capabilities.

John Cugini <Cugini@NBS-VMS>
Institute for Computer Sciences and Technology
National Bureau of Standards
Bldg 225 Room A-265
Gaithersburg, MD 20899
phone: (301) 921-2431

------------------------------

End of AIList Digest
********************

From comsat@vpics1 Thu Oct  3 16:20:46 1985
Date: Thu, 3 Oct 85 16:20:32 edt
From: comsat@vpics1.VPI
To: france@opus   (FRANCE,JOSLIN,ROACH,FOX)
Subject: From: AIList Moderator Kenneth Laws <AIList-REQUEST@SRI-AI>
Status: R

Received: from sri-ai.arpa by CSNET-RELAY.ARPA id a001368; 1 Oct 85 20:03 EDT
Date: Sun 29 Sep 1985 11:14-PDT
Reply-to: AIList@SRI-AI
US-Mail: SRI Int., 333 Ravenswood Ave., Menlo Park, CA  94025
Phone: (415) 859-6467
Subject: AIList Digest   V3 #129
To: AIList@SRI-AI
Received: from rand-relay by vpi; Thu, 3 Oct 85 15:59 EST


AIList Digest            Sunday, 29 Sep 1985      Volume 3 : Issue 129

Today's Topics:
  Queries - FRANZ Questions,
  AI Tools - Public domain Prolog and Hope,
  Psychology - A Counterexample to Modus Ponens,
  Literature - New CSLI Reports & Recent Technical Reports, Articles

----------------------------------------------------------------------

Date: Mon, 23 Sep 85 17:39:06 cdt
From: Raj Doshi <doshi%umn.csnet@CSNET-RELAY.ARPA>
Subject: FRANZ-unix question...


> In Franz, how can I access the following:-
        (1) The user's name  (not just the login name, but also
            the actual name from the '.plan' (or whatever) file  ???
        (2) The date.

Thank you very much.

--- raj doshi,  University of Minnesota

                doshi%umn.csnet@csnet-relay.arpa

                Raj Doshi
                2030 Wilson Avenue, Apt #27
                Saint Paul, MN 55119
                (612)-739-2353
                (612)-739-2151

------------------------------

Date: Tue, 24 Sep 85 20:58:58 cdt
From: Raj Doshi <doshi%umn.csnet@CSNET-RELAY.ARPA>
Subject: unknown prop.lists ..


**** QUESTION about FRANZ-LISP, atoms & their properties :-

Suppose that I have access to an atom (i.e. I know its NAME).
But I don't know anything more about it.

Now, is there a FRANZ function, whereby I can
ask franz to RETURN/LIST all the properties,
(given to the atom via PUTPROPs by the user).
if any, (and maybe their values) to me ???

Maybe the creators of FRANZ didn't see the need for such a function
or maybe they did not think about this, but,
I am sure FRANZ has to keep track of an atom's properties
(probably in an array or frame like structure).

HOW DOES FRANZ actually STORE THE properties OF ATOMS ??
If I know this, I could (probably?) write the function myself.

Thanks in advance.

--- raj doshi,  University of Minnesota

  [Full address in first message of this digest.  -- KIL]

------------------------------

Date: Tue, 24 Sep 85 21:53:59 cdt
From: Raj Doshi <doshi%umn.csnet@CSNET-RELAY.ARPA>
Subject: i AND o ....


**** Question about CONCURRENT i/o to the SAME file.

I am trying to do the following in Franz-Lisp:-
     I have a file which has some stuff in it (= it is non-empty).
     First, I want to  *append* something to it (that is, I want
        to write something FROM its end-of-file;  I want to preserve
        its original contents).
     Then, I want to read something from the start-of-the-file.
     Then, I want to  *append*  something-new to the new-version
        of this file.

Now, I have tried the following:-
     Lets say that the file name is fn.
     TRY #1 :  setq portout (outfile 'fn)
               fseek portout
                     (filestat:size (filestat 'fn)) ;Filestat take only 2 param.
                     0)
               (defun p-raj () (patom "Hi-raj" portout))
               (p-raj)
               (p-raj)
               ----------------
               The problem with this is that the
                    >setq portout (outfile 'fn)
                    seems to AUTOMATICALLY and PERMANENTLY
                    put the r/w-cursor at the START of the file
                    (without my permission).  Also, once this is
                    done, FSEEK become impotent.  It will always
                    send back a zero.  Also, a FILEPOS has no effect.
                    Basically, you cannot move the @<@!!# cursor
                    unless you write  (and therefore overwrite the
                    original contents) something to the file.
                       Note however that, if I had not done
                       setq portout (outfile 'fn)
                       then,
                           >(filestat:size (filestat 'fn))
                       does return the true (unix) size of the file.
               @@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@
     TRY #2 :  (setq inout (infile 'fn))
               (fileopen 'fn 'w+)  ; FILEOPEN takes only 2 parameters.
               ; you can also try the following
               ; (fileopen 'fn 'a+)
               (filepos portio)
                   [this gives back a zero, which is ok.]
               (filestat:size (filestat 'junk))
                   [this does give its true size, say 232 blocks.]
               (filepos portio (filestat:size (filestat 'junk)))
                   [this does put the r/w-cursor at 232.]
               (filepos portio)
                   [this confirms that.]
               (patom "IS this really going to get appended ?" portio)
                   [this prints the above string on the TERMINAL,
                    not onto the file fn.]
               (filepos portio)
                   [the cursor is STILL at 232.]

               Basically, I think that the reason it won't write to the file
               fn in this second case is that the <inout> was defined
               for reading and not for writing.
                   {Is this the correct impression ?}

[I have tried many many different permutations also.]

SO, in brief, a <setq pi (outfile..>
         automatically puts the cursor at the start-of-the-file;
    and the FILEOPEN, FILEPOS, FSEEK dont seem to have any effect.
    and, a <setq po (infile...>
         never allows me to write onto the file atall
         even if I do a  <FILEOPEN 'fn 'w+>.

>>>>>>   QUESTION: What am I missing here ??  <<<<<<

Thanks in advance.


--- raj doshi,  University of Minnesota

  [Full address in first message of this digest.  -- KIL]

------------------------------

Date: Mon, 5 Aug 85 10:09:19 pdt
From: Peter Ludemann <ludemann%ubc.csnet@csnet-relay>
Subject: Public domain Prolog, Hope

          [Forwarded from the Prolog Digest by Laws@SRI-AI.]

The August 1985 issue of BYTE magazine has a number of
articles on Declarative Languages (Prolog, Hope, FP).

Public domain versions of Prolog (from Automata Design
Associates) and Hope (from Imperial college) for MS-DOS
machines are apparently available from BYTEnet at (617)
861-9774.  [...]

-- Peter Ludemann

------------------------------

Date: Fri, 27 Sep 85 10:57:18 edt
From: John McLean <mclean@nrl-css.ARPA>
Subject: A Counterexample to Modus Ponens

In the most recent issue of The_Journal_of_Philosophy, there is an
article by Vann McGee that presents several counterexamples to modus
ponens.  I am not sure whether to count them as counterexamples or as
cases where we hold inconsistent beliefs.  If the latter view is right,
it should be of interest to those who model belief systems.

One example of McGee's suffices to give the flavor of his article.
Before the 1980 presidential election, many held the two beliefs below:

   (1) If a Republican wins the election then if the winner is not Ronald
       Reagan, then the winner will be John Anderson.

   (2) A Republican will win the election.

Yet few if any of these people believed the conclusion:

   (3) If the winner is not Reagan then the winner will be Anderson.

John

------------------------------

Date: Wed 25 Sep 85 16:54:08-PDT
From: Emma Pease <Emma@SU-CSLI.ARPA>
Subject: New CSLI Reports

         [Excerpted from the CSLI Newsletter by Laws@SRI-AI.]


                             NEW CSLI REPORTS

      Report No. CSLI-85-31, ``A Formal Theory of Knowledge and Action''
   by Robert C. Moore, and Report No. CSLI-85-32, ``Finite State
   Morphology: A Review of Koskenniemi'' by Gerald Gazdar, have just been
   published.  These reports may be obtained by writing to David Brown,
   CSLI, Ventura Hall, Stanford, CA 94305 or Brown@SU-CSLI.

------------------------------

Date: 27 Sep 1985 19:49-CST
From: leff%smu.csnet@CSNET-RELAY.ARPA
Subject: Recent Technical Reports

Addresses for requests:

Carnegie Mellon University, CS Department, Pittsburgh, PA 15213
Stanford University, Department of Computer Science, Stanford, CA 94305

____________________________________________________________________________

%A Zohar Manna
%A Richard Waldinger
%T The Origin of the Binary Search Paradigm
%R STAN-CS-85-1044
%I Stanford University Department of Computer Science
%D MAR 1985
%X $2.75 - shows how binary search based algorithms in numerical
analysis would be derived by an automatic program-synthesis system

%A Anne von der Leith Gardner
%T An Artificial Intelligence Approach to Legal Reasoning
%R STAN-CS-85-1045
%I Stanford University Department of Computer Science
%D JUN 1984, 205 pages (microfiche only $2.00_

%A Jeffrey D. Ullman
%A Allen Van Gelder
%T Testing Applicability of Top-Down Capture Rules
%R STAN-CS-85-1046
%I Stanford University Department of Computer Science
%D APR 1985
%X $2.50 We extend the theory of "Capture rules", introduced in
Ullman (1984) and Sagiv and Ullman (1984), as a way
to plan the evaluation of queries in a "knowledge base."  The central
issue of the paper is how to adorn the nodes of
a rule/goal graph with limited amounts of information that can be used
to test wehtehr one can answer a query "top-down" as a Prolog would.
Moreover, the test must be performed quickly, preferably in time that is
polynomial in the size of hte logical rules in the "knowledge base."
We define the "uniqueness" property for rules and give an efficient
algorithms to generate a set of equalities among the sizes of arguments
in sets of such rules.  Satisfaction of these inequalities is sufficient
for the top-down processing of rules to cnverge.  We then give an efficient
test for satisfaction of these inequalities.  There is, of course, no
polynomial test that is both necessary and sufficient for applicability of
this or most any interesting capture rule.

%A Zohar Manna
%A Richard Waldinger
%T Special Relations in Automated Deduction
%R STAN-CS-85-1051
%I Stanford University Department of Computer Science
%K relation replacement rule relation matching rule polarity
%D MAY 1985
%X $4.00

%A Martin Abadi
%A Zohar Manna
%T Nonclausal Temporal Deduction
%D JUN 1985
%R STAN-CS-85-1056
%I Stanford University Department of Computer Science
%D JUN 1985
%K propositional temporal logic
%X 2.75

%A Ian A. Mason
%A Carolyn L. Talcott
%T Memories of S-expressions, Proving properties of Lisp-like programs
that destructively alter memory
%D JUN 1985
%R STAN-CS-85-1057
%I Stanford University Department of Computer Science
%X $3.50

%A Masaru Tomita
%T An Efficient Context-free Parsing Algrithm for Natural Languages
and its Applications
%D MAY 1985
%I Carnegie Mellon Computer Science

%A Gary L. Bradshaw
%T Learning to Recognize Speech Sounds: A Theory and Model
%D JUN 1985
%I Carnegie Mellon Computer Science

%A Masaru Tomita
%T Feasibility Study of Personal/Interactive Machine Translation
Systems
%D JUL 1985
%I Carnegie Mellon Computer Science

%A Jaime G. Carbonnell
%A Masaru Tomita
%T New Approaches to Machine Translation
%D JUL 1985
%I Carnegie Mellon Computer Science

%A Robert E. Frederking
%T Syntax and Semantics in Natural Language Parsers
%D MAY 1985
%I Carnegie Mellon Computer Science

%A Jeannette M. Wing
%A Farhad Arbab
%T Geometric Reasoning: A New Paradigm for Processing Geometric Information
%D JUL 1985
%I Carnegie Mellon Computer Science

%A Jeannette M. Wing
%A Mark R. Nixon
%T Adding Temporal Logic to Ina Jo
%D JUL 1985
%I Carnegie Mellon Computer Science
%K temporal logic formal specification

%A Ketan Mulmuley
%T A Mechanizable Theory for Existence Proofs of Inclusive Predicates
%D JUL 1985
%I Carnegie Mellon Computer Science

------------------------------

Date: 27 Sep 1985 20:02-CST
From: leff%smu.csnet@CSNET-RELAY.ARPA
Subject: Recent Articles

D BOOK15 Applications of Artificial Intelligence II\
%D April 9-11\
%I International Society for Optical Engineering (SPIE)\
%C Bellingham, Washington
D BOOK16 Solid Modeling by Computers From Theory to Applications\
%D SEP 25-27 1983\
%I Plenum Press\
%O (sponsored by) General Motors Research Laboratories of Warren Michigan
D BOOK17 Applications in Artificial Intelligence\
%I Petrocelli Books\
%C Princeton, New Jersey\
%E Stephen J. Andriole


%A Paul J. Besl
%A Ramesh C. Jain
%T Three-Dimensional Object Recogniton
%J Computing Surveys
%D March, 1985

%A Elain Marsh
%A Carol Friedman
%T Transporting the Linguistic String Project from a Medical
to a Navy Domain
%J ACM Transactions on Office Information Systems
%D APR 1985

%A Jonathan Slocum
%A Carol F. Justus
%T Transportability to Other Languages: The Natural Language
Processing Project in the AI Program at MCC
%J ACM Transactions on Office Information Systems
%D APR 1985

%A Samuel S. Epstein
%T Transportable Natural Language Processing Through Simplicity
%J ACM Transactions on Office  Information Systems
%D APR 1985

%A Bozena Hernisz Thompson
%A Frederick B. Thompson
%T ASK is Transportable in Half a Dozen Ways
%J ACM Transactions on Office Information Systems
%D APR 1985

%A Fred J. Damerau
%T Problems and Some Solutions in Customization of Natural Language Database
Front Ends
%J ACM Transactions on Office Information Systems
%D APR 1985

%A Carole D. Hafner
%A Kurt Golden
%T Portability of Syntax and Semantics in Datalog
%J ACM Transactions on Office Information Systems
%D APR 1985

%A Graham Birtwistle
%T Artificial Intelligence, Graphics and Simulation
%I Society for Computer Simulation
%D JAN 1985
%X $20.00, 119 pages, ISSN 07359276

%A Willard M. Holmes
%T Artificial Intelligence and Simulation
%I Society for Computer Simulation
%D MAR 1985
%X $20.00 75  pp ISBN 0911801057

%A Strategic Incorporated
%T Artificial Intelligence: Computer-Aided Instruction (CAI):
Markets, Issues, Suppliers and Technology Trends
%I Strategic Corporation
%D FEB 1985
%C Cupertino, California
%X price $1950.00

%A Perkins
%A Laffey
%A Nguyen
%T Rule-based Interpreting of Aerial Photographs Using LES
%J BOOK15

%A Captain Robert Milne
%T Functional Reasoning for Fault Diagnosis Expert Systems
%J BOOK15

%A Broadwell
%A Smith
%A Barnette
%A Staros
%T Decision Aiding for Tactical Aircraft
%J BOOK15

%A Appelbaum
%A Ruspini
%T ARIES: A Tool for Inference Under Conditions of Imprecision and
Uncertainty
%J BOOK15

%A Klinger
%T Search Processes for the Application of Artificial Intelligence
%J BOOK15

%A Levitt
%A Kirby
%A Muller
%T A Model-Based System for Force Structure Analysis
%J BOOK15

%A Hardt
%A Rosenberg
%T Developing an Expert Ship Message Interpreter-Theoretical and Practical
Conclusions
%J BOOK15

%A Rosenberg
%T ERIK, An Expert Ship Message Interpreter: New Mechanism for Flexible
Parsing
%J BOOK15

%A A Adams
%A Deutsch
%A Harrison
%T A hierarchical Planner for Intelligent Systems
%J BOOK15

%A Obermeier
%A de Hilster
%T DIID -- A Data-independent Interface for Databases -- The
AI Perspective
%J BOOK15

%A Haralick
%A Shapiro
%T Image Segmentation Techniques
%J BOOK15

%A Chestek
%A MUller
%A Chelberg
%T Knowledge Based Terrain Analysis
%J BOOK15

%A Forman
%T Robot Vision for Depalletizing Steel Cylindrical Billets
%J BOOK15

%A Bazakos
%A Panda
%T Stereopsis and Scene Partititoning for Terrain Interpretation
%J BOOK15

%A Lenger
%A Cipovic
%T Shape Recognition of Complex Objects by Syntactical Primitives
%J BOOK15

%A Castore
%T Solid Modeling, Aspect Graphs and Robot Vision
%J BOOK16

%A Lozano-perez
%A Brooks
%T An Apporoach to Automatic Robot Programming
%J BOOK16

%A Descotte
%A Latombe
%T GARI, an Expert System for Process Planning
%J BOOK16

%A Paul Lehner
%A Stephen Barth
%T Expert Systems on Microcomputers
%J BOOK17

%A Roger Schank
%A Steven Shwartz
%T The Role of Knowledge Engineering in Natural Language Systems
%J BOOK17

%A Jaime Carbonnel
%T The Role of User Modeling in Natural Language Interface Design
%J BOOK17

%A Gerald Hice
%A Stephen Andriole
%T Artificial Intelligent Videotex
%J BOOK17

%A Jean-Daniel Dessimoz
%T Vision for Industrial Robots
%J BOOK17

%A Dexter Fletcher
%T Intelligent Instructional Systems in Training
%J BOOK17

%A Jonathan Weiss
%T GenTree A Content Oreinted Aid to Decision Problem Structuring
%J BOOK17

%A Roger C. Schank
%A Peter G. Childers
%T The Cognitive Computer: On Language, Learning, and Artificial Intelligence
%X available from Library of Computer and Information Science for members
price of $14.50

------------------------------

End of AIList Digest
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