Jeffrey.Bonar@ISL1.RI.CMU.EDU (11/14/86)
An Interdiciplinary Seminar of the Computer Science Department
and the Learning Research and Development Center
UNIVERSITY OF PITTSBURGH
AN INFORMATION PROCESSING ARCHITECTURE
TO EXPLAIN INSIGHT IN HUMAN PROBLEM SOLVING
STELLAN OHLSSON
10:00 AM TO 11:00, FRIDAY, JANUARY 9TH, 1987
LRDC AUDITORIUM, SECOND FLOOR
REFRESHMENTS FOLLOWING
There are currently four models of symbolic computation which are in
frequent use in Cognitive Science work: applicative programming, logic
programming, rule-based programming, and object oriented (frame based)
programming. Each of these exhibit some general properties of human
information processing, but neglects others. For example, LISP contains a
model for the hiearchical structure of action, which Production Systems do not.
What is needed for the simulation of human cognition is a new architecture
which exhibits all of the properties which we know are characteristic of human
cognition, and which "has" them in a natural way. An attempt at defining such
an architecture will be presented. It has grown within a specific simulation
attempt, namely to understand formally what happens in so-called
"Aha"-experiences, moments of insight during problem solving. A theory has
been constructed which explains such events within the information processing
theory of problem solving as heuristic search. The theory is then implemented
within the architecture described. An example of a run of the system will be
described.
For more information, call Cathy Rupp 624-3950