[mod.ai] Conference - AAAI Workshop on Parallel Models, Symbolic Processing

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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