[mod.ai] Seminar - Classical Conditioning and Contingency

gluck@SU-PSYCH (Mark Gluck) (02/20/86)

From: gluck@SU-PSYCH (Mark Gluck)


The topic of this week's learning seminar will be on associative learning
in animals. We will examine classical conditioning, one of the simplest
and best studied forms of induction. The readings are: 

Rescorla & Wagner (1972): Reviews the animal learning data and proposes
               a simple linear model of associative learning which predicts
               than animals will induce relative contingencies between
               stimuli. The algorithm is formally equivalent to the
               Widrow-Hoff predictor in adaptive systems and is a
               special case of the delta rule used by the Rumelhart et
               al. back-propogation algorithm.

The other two papers are two "Cognitive Science" models for classical
conditioning. The first, presented in the Holland et al book, is
a rule-based production system model of classical conditioning. The
second, by Sutton and Barto, is a connectionist/network model for
classical conditioning.

The seminar is in Building 360; Room 364 (near the geology corner).
On Thursday from 1:15-3pm.