Date: Mon 31 Oct 1988 18:47-EST From: AIList Moderator Nick Papadakis Reply-To: AIList@AI.AI.MIT.EDU Us-Mail: MIT LCS, 545 Tech Square, Rm# NE43-504, Cambridge MA 02139 Phone: (617) 253-6524 Subject: AIList Digest V8 #116 To: AIList@AI.AI.MIT.EDU Status: R AIList Digest Tuesday, 1 Nov 1988 Volume 8 : Issue 116 Queries: ES for building management? ES for student advising (1 response) ES for Crop Pathology ES on the IBM PC E.S./A.I. in Net Management References in mobile robot research Responses: Machine Learning School Summary Poetry composing programs (2 messages) Statistical methods in inductive reasoning ---------------------------------------------------------------------- Date: 25 Oct 88 14:21:30 GMT From: mcvax!ukc!etive!epistemi!rda@uunet.uu.net (Robert Dale) Subject: ES for building management? Anyone know of any work that's been done in the area of expert systems for building management or related areas? I'm thinking particularly of systems that monitor resource usage (heating, lighting etc) and maybe change the environment appropriately, making use of knowledge such as aproximately how long it takes to heat the building to a certain temperature, and so on. I'll summarise replies if there is sufficient interest. BTW, if you reply to this and I don't acknowledge your reply, please accept my apologies in advance: sometimes it's hard to get mail to US addresses from this side of the pond. R -- Robert Dale Phone: +44 31 667 1011 x6470 | University of Edinburgh UUCP: ...!uunet!mcvax!ukc!its63b!epistemi!rda | Centre for Cognitive Science ARPA: rda%epistemi.ed.ac.uk@nss.cs.ucl.ac.uk | 2 Buccleuch Place JANET: rda@uk.ac.ed.epistemi | Edinburgh EH8 9LW Scotland ------------------------------ Date: 27 Oct 88 03:16:34 GMT From: a5v@psuvm.bitnet Subject: ES for student advising I would appreciate receiving any lead to works done on expert systems apply to student advising (curriculum advising) Thanks Al VAlbuena ------------------------------ Date: 31 Oct 88 02:46:44 GMT From: mailrus!uflorida!haven!h.cs.wvu.wvnet.edu!b.cs.wvu.wvnet.edu!sip ing@rutgers.edu (Siping Liu) Subject: Re: expert systems for student advising I did a project in an advanced AI class last term which seems what you are looking for. It was done in LASER, a C-based object-oriented knowledge representation facility (similiar to KEE). Of course you won't like to look through the 2,700 lines of codes and I dono't think you can run it yourself -- you need LASER and RPS (a PS like OPS5). Functions: . A student can input his interests and get advise on who is better to be his reserach advisor and his class plan to get his degree according to the degree policy and what class he has taken. He can also specify classes he wants to take next term and the program will check the time conflicting among the class schedule, if he has satisfied the pre-requires of the class, if the class has saturated (if so, a message will send to the professor and he is put into the waitting list. The professor can put him in the class if he wants to), warning if this guy has chosen too many classes for one term or if too much programming work he'll face, etc. . The Dept. sectary can set up/modify a student's record (what class he has taken before and scores). She can check every student's record. . The head of the Dept. has the priviledge to see every student's record,too. He can also set policy for each class. . A professor can see the class enrollment and student names. He can only see the records of students advised by him. . Many more things I prefer to skip for the sake of saving your time. I planed to bring in some features such as in case of a contradictory between a student and his teacher, the problem will be submitted to the head of Dept. The motivation for my professor to give this assignment is to have a taste on the problem of Concurrent Engineering (where a lot of experts work together to solve a design problem) which is a research project in West Virinia University. I will be glad if I could be any help. ------------------------------ Date: Fri, 28 Oct 88 14:58:46 EDT From: Subject: ES for Crop Pathology I am posting this request on behalf of a friend of mine. I would appreciate if someone can provide information on expert systems for identifying crop diseases. Thanks, Jaideep Ganguly ganguly@athena.mit.edu ------------------------------ Date: 28 Oct 88 22:20:05 GMT From: dsc@izimbra.CSS.GOV (David S. Comay) Subject: ES on the IBM PC i'm looking for information and/or recommendations on expert system builders for the ibm pc and compatibles. the application will be a `small' consultation-based expert system (on the order of a hundred rules) and though i have heard of these three products out there, i know little more about them or any others: ti's pc personal consultant, vp-expert & the level5 system. i would appreciate any information and or opinions on these products or others out there that might fit the bill. thanks for the help, dsc ------------------------------ Date: 28 Oct 88 23:11:46 GMT From: att!mtuxo!rsn@bloom-beacon.mit.edu (XMRH2-S.NAGARAJ) Subject: E.S./A.I. in Net Management I am interested in finding out information regarding efforts to include ES/AI in network management. I am interested in large scale networks. I would appreciate any information on references, papers, conferences, books, organizations, contacts, etc. Please send me e-mail if you can give me any kind of help. Thanks. Raj Nagaraj mtuxo!rsn ------------------------------ Date: Sun, 30 Oct 88 16:18:20 PST From: tutiya@russell.Stanford.EDU (Syun Tutiya) Reply-to: russell!tutiya@russell.Stanford.EDU (Syun Tutiya) Subject: references in mobile robot research I am a philosopher who happens to be intersted in the state of the art about mobile robot research. Could anybody out there tell me the least biased, most illuminating and insightful yet readble introduction to the field? Thanks. Syun Tutiya (tutiya@csli.stanford.edu) ------------------------------ Date: 20 Oct 88 20:32:00 GMT From: mirror!rayssd!raybed2!applicon!bambi!webb!webb@bu-cs.bu.edu Subject: Machine Learning School Summary I recently posted a request for information about graduate schools which have good programs in Artificial Intelligence and Machine Learning. This is a summary of the information which I recieved. To all those who responded, thank you very much. I invite further comments on the opinions expressed below, and further input from those at these or other schools. ******Eastern Schools: Rutgers: - Strong learning program. University of North Carolina: - No AI program. Yale: - Dominated by Roger Schank, who is reputedly very hard on his students. Strong recommendations against going here. - Dana Angluin doing excellent theoretical work. Harvard: - Small program (5-6 students/year), correspondingly close contact with faculty. - Les Valiant is doing theoretical machine learning work. - William Woods is willing to support machine learning work, though his usual field is natural language. Carniege-Mellon University: - Very difficult to get in. - Rated consistiently as one of the top AI and Machine Learning schools in the world. - Diverse program - Allen Newell; SOAR project - Tom Mitchell, Jamie Carbonell, John Anderson in Machine Learning, many others in other fields of AI and connectionism. Berliner, Kenade, Reddy, Hinton, etc. - Focus on research rather than classwork. University of Pennsylvania: - Well-known for their natural language work, not so much so for machine learning. - One complaint about terrible student/administration relationships. MIT: - Very difficult to get in. - Famous for requiring 8-9 years of work for PhD. - Rumored: (from Stanford student) - Unfriendly - One dimensional Department. - Many professors were MIT undergrads. University of Mass. @ Amherst: - Strong AI and learning programs. Georgia Tech: - Dr. Janet Kolodner; Case Based Reasoning, Experiential learning, PhD from Yale under Roger Schank. - Connection with DARPA through Col. Bob Simpson who recieve MS in Machine Learning from Georgia Tech under Kolodner. He is head of DARPA Machine Learning research. University of Pittsburgh: - Bruce Buchanan has come here from Stanford to set up a big-time AI lab. If he stays, excitement will follow. - Focus on Expert Systems. ******Central Schools: University of Illinois @ Champaign-Urbana: - 6 AI faculty whose primary interest is learning, 4 have it as a secondary interest. Fields include: - EBL (Jerry DeJong) - Theory of Learning (Lenny Pitt) - Probabalistic learning, applied and theoretical (Sylvian Ray, Larry Rendell) - Conceptual Clustering (Bob Stepp) - KBS Learning, automated programming (David Wilkins) - Interdiscplinary approach, esp. re. the psychology dept. - Doug Medin, Dedre Genter, William Brewer, William Greenough - Work also being done in Lingusitics, Statistics, Electrical Engineering and Physics Depts. - Beckman Institute on campus - Brand new $50M facility for study of intelligence and complex systems. University of Michigan: - Holland; Classifiers and Genetic Algorithms - Host of last year's (1987) Machine Learning conference. ******Western Schools: University of Texas @ Austin: - Machine Learning group headed by Bruce Porter. - Many well-known and respected scientists working and visiting there. (eg. Silberschatz, Boyer and Moore, Dijkstra) - Relationship with MCC and Doug Lenat. Stanford: - Very difficult to get in. - Famous for requiring 8-9 years of work for PhD. - Bruce Buchanan, their best learning professor, has relocated to U. Pittsburgh. - AI department is dominated by those who believe that rigorous logic is the representation best suited to solving problems. - Rich Keller; explaination based learning. Their only specialist. - David Rumelhart, connectionist, works in psych. dept. - Most professors will support machine learning research however. - Terrific connections with industry: - Schlumberger - NASA Ames - Xerox PARC - Lockheed AI Center - Do not have an active learning group. University of California @ San Diego: - Most, if not all, of their machine learning work is centered around connectionism. University of California @ Berkeley: - AI is not the focus of their CS department. - Main AI professor is Wilensky, a clone of Roger Schank. - Stuart Russell, Stanford graduate. University of California @ Irvine: - Strong psychological orientation. - Good funding, good equipment. - CS dept. is up and coming. - Pat Langely main Learning professor. - 4 faculty doing learning work - 2 doing explaination-based learning - 1 doing empirical work - 45min to 1hr from LA. University of California @ Los Angeles: - Not recommended for machine learning ******Foreign schools: University of Edinburgh, Scotland: Peter Webb. {allegra|decvax|harvard|yale|mirror}!ima!applicon!webb, {mit-eddie|raybed2|spar|ulowell|sun}!applicon!webb, webb@applicon.com ------------------------------ Date: 27 Oct 88 10:04:47 GMT From: mcvax!ukc!etive!aiva!ken@uunet.uu.net (Ken Johnson) Subject: Re: poetry composing programs Look for `The policeman's beard is half constructed' by ``Racter''. -- ============================================================================== From: Ken Johnson Address: AI Applications Institute, The University, EDINBURGH, Scotland Phone: 031-225 4464 ext 212 Email: k.johnson@ed.ac.uk Quotation: Everyone said it couldn't be done But he buckled down and set to it; He tackled the Job That Couldn't Be Done, And he couldn't do it. ------------------------------ Date: Fri, 28 Oct 88 13:07:37 From: ALFONSEC%EMDCCI11.BITNET@CUNYVM.CUNY.EDU Subject: Poetry composing programs I know of work done in this area by J. Ruiz de Torres. The program was written in APL/PC and generated blank verse in Spanish. A book was published describing the system (also in Spanish): "El Ordenador y la Literatura" (J. Ruiz de Torres), Siglo Cultural, Madrid, 1987. The program had a set of definitions of grammar structures (correct sentences) and long lists of words. The result was quite impressive, at least the first time you saw it. Regards, Manuel Alfonseca, ALFONSEC at EMDCCI11 ------------------------------ Date: Mon Oct 31 16:15:44 1988 From: Oren.Etzioni@VIOLET.LEARNING.CS.CMU.EDU Subject: Statistical methods in inductive reasoning. reply to query on: statistical methods in inductive reasoning. Please see my paper "Hypothesis Filtering: A Practical Approach to Reliable Learning" in the proceedings of the 1988 Machine Learning Conference. oren ------------------------------ End of AIList Digest ********************