adelson@YALE.ARPA.UUCP (07/14/86)
WORKSHOP ON PARALLEL MODELS AND SYMBOLIC PROCESSING
Chair: Beth Adelson
The purpose of the workshop is to look at current connectionist models in
light of traditional AI problems. We will ask how the connectionist and the
traditional approaches inform and constrain each other. Several new
connectionist approaches to central AI problems will be presented. These new
approaches address some issues which have previously been important but
difficult in connectionism.
SCHEDULE:
Drew McDermott
Yale University
What AI Needs From Connectionism
Jerome Feldman
University of Rochester
Semantic Networks and Neural Nets
Geoffrey Hinton
Carnegie Mellon University
Connectionists Make Better Bayesians:
Bayesian Inference In A Connectionist Network
David Waltz
Thinking Machines
Challenges and Directions for Connectionism
Organizer: Beth Adelson
adelson@yale
Before July 26:
NSF
Washington, DC 20550
(202) 357-9569
After July 26:
Tufts University
Department of Computer Science
Medford, MA 02155
(617) 381-3214
Length: 3 hours:
Four 20 minute talks with 10 minutes for questions after each
One hour for audience discussion.
Date: August 14
Time: 1-4 PM
Place: Room 213 in the Law School
Attendees: Open to anyone registered at the conference
(but audience size is limited to 100)
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