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AIList Digest Volume 7 Issue 003
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 <huber%ifi.unizh.ch@RELAY.CS.NET>
Subject: Conference Announcement
INTERNATIONAL CONFERENCE ANNOUNCEMENT
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* *
* 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 *
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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 <Kahn.pa@Xerox.COM>
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 <Huberman.pa@Xerox.Com>
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
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