Date: Monday, 23 May 1988, 23:37-EDT From: AIList Moderator Nick Papadakis Sender: nick@MIT-ARTHUR Reply-To: AIList@AI.AI.MIT.EDU Subject: AIList Digest V7 #3 To: ailist-outgoing@mc Status: R AIList Digest Tuesday, 24 May 1988 Volume 7 : Issue 3 Today's Topics: More Conferences, Workshops, and Seminars ---------------------------------------------------------------------- Date: 13 May 88 02:57:07 GMT From: kersch@gmu90x.gmu.edu (Larry Kerschberg) Subject: Proceedings: 2nd Intl. Conf. on Expert Database Systems Second International Conference on Expert Database Systems A limited number of the Proceedings from the Second International Conference on Expert Database Systems are available at a cost of $40. Tutorial notes are being sold for $15 each. Please add a $5 handling charge for either the proceedings or any combination of tutorials up to 4; add $2 handling fee for each additional tutorial, $5 for each additional copy of the proceedings. Tutorial Note Titles _____ I-Logic and Databases by Dr. Carlo Zaniolo of MCC, Austin, Texas _____ II-Distributed Problem Solving in Knowledge/Data Environments by Professor Victor Lesser of the University of Massachusetts at Amherst _____ III-Knowledge Representation and Data Semantics by Professor John Mylopoulos of the University of Toronto _____ IV-Acquisition of Knowledge from Data by Professor Gio Wiederhold of Stanford University Mail to : EDS Conference Office of Conferences and Community Services George Mason University 4400 University Drive Fairfax, VA 22030, USA Table of Contents Session 1: Object-Oriented Systems Chairman: Jacob Stein, Servio Logic, USA Abstract Objects in an Object-Oriented Data Model J. Zhu and D. Maier, Oregon Graduate Center, USA The Design of KIVIEW: An Object-Oriented Browser A. Motro, Univ. of Southern California, USA , A. D'Atri and L. Tarantino, and Univ. of Rome, Italy Towards a Unified View of Design Data and Knowledge Representation B. Mitschang, Universitat Kaiserslautern, FRG Session 2: Constraint Management Chairman: Herve Gallaire, ECRC, FRG Implementing Constraints in a Knowledge-Base J.A. Wald, Schlumberger-Doll Research, USA Update-Oriented Database Structures L. Tucherman and A.L. Furtado, IBM Rio Scientific Center, Brazil Distribution Design of Integrity ConstraintsX. Qian, Stanford University, USA Session 3: Panel Session: Constraint-Based Systems: Knowledge about Data Chairman: Matthew Morgenstern, SRI International, USA Panelists: A. Borgida, Rutgers University, C. Lassez, IBM T.J. Watson Research, D. Maier, Oregon Graduate Center, and G. Wiederhold, Stanford University Session 4: Expert Database System Architectures Chairmen: Robert Meersman, Tilburg University, Netherlands and Sushil Jajodia, NSF, USA BERMUDA -- An Architectural Perspective on Interfacing Prolog to a Database Machine Y.E. Ioannidis, J. Chen, M.A. Friedman and M.M. Tsangaris, Univ. of Wisconsin-Madison, USA A Look at Loosely-Coupled Prolog/Database Systems B. Napheys and D. Herkimer, Martin Marietta, USA Combining Top Down and Bottom Up Computation in Knowledge Based Systems M. Nussbaum, Swiss Federal Institute of Technology (ETH),Switzerland Session 5A: Knowledge/Data System Architectures Chairmen: Roger King, Univ. of Colorado and Robert Abarbanel, Apple Computer, Inc. A Distributed Knowledge Model for Multiple Intelligent Agents Y.P. Li, Jet Propulsion Laboratory, USA The Relational Production Language: A Production Language for Relational Databases L.M.L. Delcambre and J.N. Etheredge, Univ. of Southwestern Louisiana, USA A Transaction Oriented Mechanism to Control Processing in a Knowledge Base Management System L. Raschid, Univ. of Maryland, USA and S.Y.W. Su, Univ. of Florida, USA Session 5B: Recursive Query Processing Chairman: Tim H. Merrett, McGill University Transitive Closure of Transitively Closed Relations P. Valduriez and S. Khoshafian, MCC, USA Transforming Nonlinear Recursion to Linear Recursion Y.E. Ioannidis, Univ. of Wisconsin-Madison and E. Wong, UC-Berkeley, USA A Compressed Transitive Closure Technique for Efficient Fixed-Point Query Processing H.V. Jagadish, AT&T Bell Laboratories, USA Session 6A: Learning and Adaptation in Expert Databases Chairmen: Alex Borgida, Rutgers University and Don Potter, Univ. of Georgia An Automatic Improvement Processor for an Information Retrieval System K.P. Brunner, Merit Technology, Inc. and R.R. Korfhage, Univ. of Pittsburgh, USA Supporting Object Flavor Evolution through Learning in an Object-Oriented Database System Q. Li and D. McLeod, Univ. of Southern California, USA Implicit Representation of Extensional Answers C.D. Shum and R. Muntz, UCLA, USA Session 6B: Knowledge Management in Deductive Databases Chairmen: Sham Navathe, Univ. of Florida Deep Compilation of Large Rule Bases T.K. Sellis and N. Roussopoulos, Univ. of Maryland, USA Handling Knowledge by its Representative C. Sakama and H. Itoh, ICOT, Japan Integrity Constraint Checking in Deductive Databases using a Rule/Goal Graph B. Martens and M. Bruynooghe, Katholieke Universiteit Leuven, Belgium Session 7: Panel Session: Knowledge Distribution and Interoperability Chairman: Michael Brodie, GTE Labs, USA Panelists: Danny Bobrow, Xerox PARC, Carl Hewitt, MIT, Victor Lesser, University of Massachusetts, Amherst, Stuart Madnick, MIT, Dennis Tsichritzis, University of Geneva, Switzerland Session 8: Intelligent Database Interfaces Chairman: Larry Reeker, BDM Corporation Musing in an Expert Database S. Fertig and D. Gelernter, Yale University, USA Cooperative Answering: A Methodology to Provide Intelligent Access to Databases F. Cuppens and R. Demolombe, ONERA-CERT, France G+: Recursive Queries without Recursion I.F. Cruz, A.O. Mendelzon and P.T. Wood, Univ. of Toronto, Canada Session 9: Semantic Query Optimization Chairman: Matthias Jarke, Univ. of Passau, FRG Automatic Rule Derivation for Semantic Query Optimization M.D. Seigel, Boston University, USA A Metainterpreter to Semantically Optimize Queries in Deductive Databases J. Lobo and J. Minker, Univ. of Maryland, USA >From QSQ towards QoSaQ: Global Optimization of Recursive Queries L. Vieille, ECRC, FR G Session 10: Panel Session: Knowledge Management Chairman: Adrian Walker, IBM T.J. Watson Research Center, USA Panelists: R. Kowalski, Imperial College, London, D. Lenat, MCC, Austin, Texas, E. Soloway, Yale University and M. Stonebraker, UC - Berkeley =================================================================== EDS'88 Tutorial Speaker Bios and Note Contents Tutorial I Logic and Databases Instructor: Dr. Carlo Zaniolo, MCC, Austin, Texas Dr. Zaniolo heads a group at MCC performing research on deductive databases and logic programming. He has held positions at Sperry Research and Bell Laboratories. He is the author of over 40 technical papers, a member of numerous Program Committees, and edited the December 1987 Data Engineering special issue on Databases and Logic. Course Description: There is a growing demand for supporting knowledge-based applications by means of Knowledge Management Systems; these will have to combine the inference mechanisms of Logic with the efficient and secure management of data provided by Database Management Systems(DBMS). The major topics are: Logic and relational query languages; Semantics of Horn Clauses; Prolog and DBMSs; Coupling Prolog with a DBMS; Making Prolog a database language; Integrating Logic and Database Systems: Sets, Negation and Updates; Choosing an Execution Model; Compilation: magic sets to support recursive predicates; Optimization and Safety; Overview of selected R&D projects. Tutorial II Distributed Problem Solving in Knowledge/Data Environments Instructor: Prof. Victor Lesser, University of Massachusetts, Amherst Dr. Lesser is Professor of Computer and Information Science at UMASS, where he heads research groups in Distributed Artificial Intelligence and Intelligent User Interfaces. Prior to joining UMASS in 1977, he was on the faculty of Carnegie-Mellon University, where he was a Principal in the development of the HEARSAY Speech Understanding System and responsible for the system architecture. Course Description: This tutorial will explore the major concepts and systems for cooperative knowledge-based problem solving. The major topics include: Connectionist, Actor and Cooperating ES paradigms; Conceptual Issues including: examples of distributed search, interpretation, planning and cooperation, global coherence, dealing with inconsistency and incompleteness, sharing world views, and design rules for a cooperating ES; System Architectures for satisficing, negotiation, tolerance of inconsistency in problem-solving, organizational structuring, integration of local and network control, and expectation-driven communication; Discussion of working systems including Contract Nets, Partial Global Planning, AGORA MACE, ABE, DPS, and MINDS. Tutorial III Knowledge Representation and Data Semantics Instructor: Prof. John Mylopoulos, University of Toronto, Canada Dr. John Mylopoulos is Professor of Computer Science at the University of Toronto and research fellow of the Canadian Institute for Advanced Research. His research interests include knowledge representation and its applications to Databases and Software Engineering. Dr. Mylopoulos has edited three books on the general topic of AI and Databases. He received his Ph.D degree from Princeton University. Course Description: Knowledge Representation including history, basic paradigms such as semantic nets, logic-based representations, productions, frames, role of uncertainty, and inference mechanisms, examples such as KL-ONE and OMEGA; Semantic Data Models including historical models such as AbrialUs Binary Model, Entity/Relationship, RM/T and SDM, detailed study of ADAPLEX, TAXIS, and GALILEO, implementation techniques; Comparison of SDMs to Object-Oriented model such as POSTGRES and GEM as well as Deductive Databases. Tutorial IV Acquisition of Knowledge from Data Instructor: Prof. Gio Wiederhold, Stanford University, California Dr. Gio Wiederhold is Associate Professor of Medicine and Computer Science (Research) at Stanford University. His research involves knowledge-based approaches to medicine, design, and planning. He is the Editor-in-Chief of ACM's Transactions on Database Systems and associate editor of M.D. Computing and IEEE Expert magazine. Wiederhold has over 130 publications, including a widely used textbook on Database Design. In 1987, McGraw-Hill published his new book, File Organization for Database Design. Course Description: The architecture of an operational system, RX, is presented which uses knowledge-based techniques to extract new knowledge from a large clinical database. RX exploits both frame-based knowledge and rules, as well as a database. Frames are used to store deep and interconnected knowledge about disease states and medical actions. Definitional and causal knowledge is represented by inter-connections between frames that go across the hierarchies, sideways as well as up and down, so that the aggregate knowledge is represented by a network. Rules select the appropriate statistical methods used to reduce the volume of data into information. The database contains observations on rheumatic diseases, collected over a dozen years. ------------------------------ Date: 13 May 88 23:27 From: Andreas Huber Subject: Conference Announcement INTERNATIONAL CONFERENCE ANNOUNCEMENT **************************************************************************** * * * C O M M E R C I A L E X P E R T S Y S T E M S * * I N B A N K I N G A N D F I N A N C E ....... * * * * ..... A N D H O W T O M A K E T H E M R U N * * * **************************************************************************** Lugano (Switzerland), Palazzo dei Congressi, June 6-7, 1988 Supporting Organizations: Associazione Bancaria Italiana Associazione Bancaria Ticinese Associazione Ticinese Elaborazione Dati European Center for Insurance Education and Training European Coordinating Committee for Artificial Intelligence Institute for Swiss Banking, University of Zurich Instituto Dalle Molle di Studi sulla Intelligenza Artificiale Swiss Bankers Association What it is all about... Knowledge based systems have come of age. Today a majority of executives and professionals agree that expert systems represent a key technology for the economic survival of a company. This is particularly true in banking and finance where daily changes in regulations and new financial instruments have given rise to a complexity which endangers the efficiency of the organi- zation. With higher quality services and the rapidly increasing application of intelligent tools one aims to improve performance and competitiveness. Prototypes have proven the feasibility and the potential of knowledge based systems. With growing experience, however, also serious problems such as deficiencies in robustness or new dimensions of data and "knowledge" securi- ty have become evident. Nevertheless a rapid realization of their commercial application is not principally called in question. The international conference reviews the current development and documents the state of present commercial applications. Special emphasis is given to the critical transition between the working prototype and the successful operatio- nal system. Case studies illustrate the essential issues and outline specific details. A topic oriented exhibition of leading soft- and hardware houses com- plements and completes the event. At this symposium you will hear answers to the questions: What can we expext from the technology both now and in the future? Which approaches will solve our current problems? When will we get the solutions we can afford? The conference is intended for: - Executives and EDP professionals in banking, finance and insurance - Officers in strategic planning - EDP and communication experts - Managers and application specialists of hard- and software suppliers P R O G R A M M MONDAY, JUNE 6, 1988 INTRODUCTION 9.00 - 10.15 D. Shpilberg Expert Systems in the services sector - facts and fictions PROBLEMS AND SOLUTIONS 10.45 -12.30 M. De Marco Towards operational systems - Problems and challenges H. Schorr IBM perspective on AI; essentials for the future COMMERCIAL APPLICATIONS: THE USER PERSPECTIVE 14.00 - 15.45 Case studies in parallel sessions APPLICATIONS CONTINUED 16.15 - 17.00 Case studies in parallel sessions FUTURE ROLE OF TECHNOLOGY IN THE SERVICES INDUSTRY 17.10 - 18.00 M. Janssen Expert Systems: Survival strategy for the financial corporation? EXHIBITION 09.00 - 19.00 TUESDAY, JUNE 7, 1988 PROJECT MANAGEMENT 09.00 - 10.00 B. Bachmann Expert Systems - Cold coffee or a new challenge? COMMERCIAL APPLICATIONS: TECHNOLOGY IN PERSPECTIVE 10.30 - 12.15 Case studies in parallel sessions TECHNICAL TRENDS 13.45 - 14.30 F. Gardin The future role of advanced AI soft- and hardware tools and techniques SUMMING UP 14.30 - 16.00 J. Campbell Hearing R. Pfeifer Summary Programm committee: G. Anastaze, IBM, Geneva, CH T. Bernold, Gottlieb Duttweiler Institute (GDI), CH M. De Marco, Universita Cattolica di Milano, I A. Huber, University of Zurich, CH S. Marioni, Banca Solari & Blum S.A., Lugano, CH R. Pfeifer, University of Zurich, CH Advisory Board: B. Bachmann, Union Bank of Switzerland, Zurich, CH K. Bauknecht, University of Zurich, CH J. Campbell, University College London, GB E. Kilgus, University of Zurich, CH B. Rees, Digital Equipment Corporation (Europe), Geneva, CH D. Shpilberg, Coopers & Lybrand, New York, USA Organizers: Gottlieb Duttweiler Institute, GDI, Rueschlikon Swiss Group for Artificial Intelligence and Cognitive Science, SGAICO University of Zurich, Department of Computer Science Gotttlieb Duttweiler Institute The "Green Meadow" Foundation CH-8803 Rueschlikon/Zurich Phone: (41) 1 724 00 20 Telex: 826 510 gdi ch Fax: (41) 1 461 37 39 University of Zurich Department of Computer Science Winterthurerstrasse 190, CH-8057 Zurich Phone: (41) 1 257 43 23 Fax: (41) 1 257 40 04 Administration: Anne-Marie Brennwald (GDI) Phone: (41) 1 724 00 20 Telex: 826 510 gdi ch For further information please contact: Brigitta Scherrer (GDI) Phone: (41) 1 461 37 16 Fax: (41) 1 461 37 39 Prof. Rolf Pfeifer University of Zurich Phone: (41) 1 257 43 23 Fax: (41) 1 257 40 04 Email: pfeifer@ifi.unizh.ch Participation fee: Registration before May 6: one day SFr. 550.-- , two days SFr. 950.--* Registration after May 6: one day SFr. 700.-- two days 1150.-- * Documentation, lunches and refreshments are included. Please remit the fee only upon receipt of invoice by GDI. *Reduction of SFr. 50.-- per day for SI/SGAICO members and memberorganisations of FSI/SVI A. Huber ------------------------------ Date: 16 May 88 00:08:43 GMT From: munnari!goanna.oz.au!isaac@uunet.UU.NET (Isaac Balbin) Subject: Call for Papers ----------------------------------------------------------------------------- Call for Papers _____________________________________________________________________________ International Computer Science Conference '88 Hong Kong, December 19-21, 1988 Artificial Intelligence: Theory and Applications _____________________________________________________________________________ Sponsored by THE COMPUTER SOCIETY OF THE IEEE, HONG KONG CHAPTER _____________________________________________________________________________ International Computer Science Conference '88 is to be the first international conference in Hong Kong devoted to computer science. The purpose of the conference is to bring together people from academia and industry of the East and of the West, who are interested in problems related to computer science. The main focus of this conference will be on the Theory and Applications of Artificial Intelligence. Our expectation is that this conference will provide a forum for the sharing of research advances and practical experiences among those working in computer science. Topics of interest include, but are not limited to: AI Architectures Expert Systems Knowledge Engineering Logic Programming Machine Learning Natural Languages Neural Networks Pattern Recognition Robotics CAD/CAM Chinese Computing Distributed Systems Information Systems Office Automation Software Engineering Paper Submissions Submit four copies of the paper by June 15, 1988 to either of the Program Co-Chairmen: Dr. Jean-Louis Lassez Dr. Francis Y.L. Chin Room H1-A12 Centre of Computer Studies and IBM Thomas J. Watson Applications Research Center University of Hong Kong P.O. Box 218 Pokfulam Road Yorktown Heights NY Hong Kong 10598 (For papers from Pan-Pacific region U.S.A. only) e-mail: JLL@ibm.com e-mail: hkucs!chin@uunet.uu.net The first page of the paper should contain the author's name, affiliation, address, electronic address if available, phone number, 100 word abstract, and key words or phrases. Papers should be no longer than 5000 words (about 20 double-spaced pages). A submission letter that contains a commitment to present the paper at the conference if accepted should accompany the paper. Tutorials The day after the conference will be devoted to tutorials. Proposals for tutorials on Artificial Intelligence topics, especially advanced topics, are welcome. Send proposals by June 15, 1988 to the Program Co-Chairmen. Conference Timetable and Information Papers due: June 15, 1988 Tutorial proposals due: June 15, 1988 Acceptance letters sent: September 1, 1988 Camera-ready copy due: October 1, 1988 International Program Committee: J-P Adam (Paris T.Y. Chen (Melbourne & W.F. Clocksin Scientific Center) HKU) (Cambridge) A. Despain (Berkeley) J. Gallier Qingshi Gao M. Georgeff (SRI) (Pennsylvania) (Academia Sinica) R.C.T. Lee (National D. Hanson (Princeton) R. Hasegawa (ICOT) Tsin Hua) M. Maher (IBM) Z. Manna (Stanford & F. Mizoguchi (Science U. Montanari (Pisa) Weizmann) U. of Tokyo) P.C. Poole (Melbourne) K. Mukai (ICOT) H.N. Phien (AIT) C.K. Yuen (Singapore) D.S.L. Tung (CUHK) Organizing Committee Local Arrangements Publicity Chairman: Chairman: Chairman: Mr. Wanbil Lee Dr. K.W. Ng Dr. K.P. Chow Department of Department of Computer Centre of Computer Computer Studies Science Studies and Applications City Polytechnic of The Chinese University University of Hong Kong Hong Kong of Hong Kong Pokfulam Road Argyle Center, Kowloon Shatin, N.T. Hong Kong Hong Kong Hong Kong e-mail: hkucs!icsc@uunet.uu.net In Cooperation With: Center for Computing Studies and Services, Hong Kong Baptist College Centre of Computer Studies and Applications, University of Hong Kong Department of Computer Science, The Chinese University of Hong Kong Department of Computer Studies, City Polytechnic of Hong Kong Department of Computing Studies, Hong Kong Polytechnic ------------------------------ Date: 16 May 88 01:45:28 GMT From: ut-sally!kumar@uunet.UU.NET (Vipin Kumar) Subject: Workshop: Last Call Workshop on Parallel Algorithms for Machine Intelligence and Pattern Recognition Sponsored by the American Association of Artificial Intelligence Aug.20 and 21, 1988. St. Paul, Minnesota Organizing Committee: Prof. Laveen N. Kanal (kanal@mimsy.umd.edu) Dept. of Computer Science University of Maryland College Park, Md., 20742 Dr. P.S. Gopalakrishnan (PSG@ibm.com) T.J. Watson Research Center, 39-238 P.O.Box 218 Yorktown Heights, N.Y. 10598 Prof. Vipin Kumar (kumar@sally.utexas.edu) Computer Science Dept. Univ. of Texas at Austin Austin, Texas, 78712. There is much interest in AI in parallel algorithms for exploring higher level knowledge representations and structural relationships. Parallel algorithms for search, combinatorial optimization, constraint satisfaction, parallel production systems, and pattern and graph matching are expressions of this interest. There is also considerable interest and ongoing work on parallel algorithms for lower level analysis of data, in particular, in vision, speech and signal processing, often based on stochastic models. For practical applications of machine intelligence and pattern recognition the question arises as to the extent to which parallelism for high and low level analysis can be achieved in an integrated manner. The workshop will aim at bringing together individuals working in each of the above two aspects of parallel algorithms to consider the basic nature of the procedures involved and the degree to which parallel approaches to high and low level operations in machine intelligence, pattern recognition, and signal processing can be integrated. Contributors interested in participating in this workshop are requested to submit a 1000-2000 word extended abstract of their work on parallel algorithms in areas of Machine Intelligence and Pattern Recognition. Areas of interest include Search Problems in A.I. and Pattern recognition, high and low level processing in Computer Vision, Speech Recognition, Optimization Problems in A.I.,Constraint Satisfaction, and Pattern and Graph matching. The number of participants at the workshop must be limited due to limited room size. Abstracts should be sent as soon as possible and must reach the organizers no later than June 1,1988. Abstracts may be sent by electronic mail to all the organizers at the e-mail addresses shown. Hard copy versions of each abstract should also be sent to one of the organizers. Responses to all who submit abstracts will be sent by July 1, 1988. ------------------------------ Date: Mon, 16 May 88 11:55:08 PDT From: CHIN%PLU@ames-io.ARPA Subject: seminar announcement *************************************************************************** National Aeronautics and Space Administration Ames Research Center SEMINAR ANNOUNCEMENT SPEAKER: Balas Natarajan Carnegie-Mellon University TOPIC: "Towards Learning Algorithms" ABSTRACT: This talk concerns two paradigms for "learning algorithms". First, we consider learning in the sense of acquiring new information - specifically, extracting a good approximation to an unknown set from examples for the set. After formalising the problem, we give a theorem identifying conditions necessary and sufficient for such learning to be efficient. We also present smooth extensions of these results to functions (as opposed to sets) on discrete and continuous domains. Second, we consider learning in the sense of improving computational efficiency - specifically, constructing good heuristics for a problem from solved examples. After formalising the problem, we give a theorem identifying conditions sufficient to allow the construction of provably good heuristics for a collection of problems. BIOGRAPHY: Balas K. Natarajan is a Research Scientist at the Robotics Institute, Carnegie Mellon University. He received his Ph.D. in computer science from Cornell University in 1986. Currently his major research interests include both formal and applied methods in Machine Learning and Robotics. DATE: Monday, TIME: 3:00 - 4:00 pm BLDG. 244 Room 103 May 23, 1988 -------------- POINT OF CONTACT: Marlene Chin PHONE NUMBER: (415) 694-6525 NET ADDRESS: chin%plu@ames-io.arpa *************************************************************************** VISITORS ARE WELCOME: Register and obtain vehicle pass at Ames Visitor Reception Building (N-253) or the Security Station near Gate 18. Do not use the Navy Main Gate. Non-citizens (except Permanent Residents) must have prior approval from the Director's Office one week in advance. Submit requests to the point of contact indicated above. Non-citizens must register at the Visitor Reception Building. Permanent Residents are required to show Alien Registration Card at the time of registration. *************************************************************************** ------------------------------ Date: 17 May 88 05:02:34 GMT From: pasteur!agate!eos!millard@ames.arpa (Millard Edgerton) Subject: NN VIDEO TAPE COURSE _________________________________________________ NEURAL NETWORK VIDEOTAPE COURSE _________________________________________________ The UCSC Extension 25 hour course, "Neural Nets -- Level One", recently completed its 2nd semester. A revised version will soon be videotaped in a studio and released for distribution around Aug 88. It will be a no-frills, 16 hour compressed version of the original course, and includes 4 manuals, with problem sets, answers, and literature. NOTE --- A LITTLE PUBLICIZED OFFERING Although the lecture series will be priced in Sept. at around 1,800 dollars, the pre-publication price (until 1-JUN-88) is only 495 dollars !! This compares favorably to other N-N video tutorials going for 5K to 6K dollars. Call USA 408-738-2888 ext 4677 for more details. I am posting this for the benefit of Mark Jurik, the course instructor. ------------------------------ Date: Mon, 23 May 88 14:48:09 PDT From: Ken Kahn Subject: Workshop on Open Systems at Xeroxc PARC Xerox PARC will be hosting a AAAI-sponsored workshop on Open Systems from June 1 through June 3. The morning sessions will be in PARC auditorium and open to the public. Open systems pose challenging problems at the level of software design and the description of their behavior. Since they are often incrementally modified by introducing new functionality and improving existing modules, they create problems of coordination, commonality, and trust barriers. So far, insights, studies, and algorithms for their design have appeared in a rather disjoint fashion, with many researchers unaware of advances in related disciplines. Among the topics that we plan to discuss in this workshop are: Natural and Artificial Open Systems, Design Constrains for Open systems, Programming Languages Issues and Knowledge Markets. Wednesday June 1, 10am - 11am Organizational Knowledge Processing by Carl Hewitt, 11-12 discussion Thursday June 2, 9am - 10am Open Systems and Software Engineering by Alan Perlis Friday June 3, 9:30 - 11:30 Knowbots and Knowledge Markets by Mark Stefik and Danny Bobrow The workshop is organized by Bernardo Huberman and Mark Stefik. For more information contact Bernardo Huberman Directions to reach PARC: The Auditorium is located at 3333 Coyote Hill Road in Palo Alto, between Page Mill Road (west of Foothill Expressway) and Hillview Avenue, in the Stanford Research Park. To get here, take Page Mill Road to Coyote Hill Road. PARC is the only building on the left, just over the crest of Coyote Hill. Park in the large lower lot if visitor parking is full and enter the auditorium at the upper level of the building. (The auditorium is located down the stairs to the left of the main doors). ------------------------------ End of AIList Digest ********************