Evaluation and development of a connectionist theory of configural learning.
A configural theory of associative learning is described that is based on the assumption that conditioning results in associations between the unconditioned stimulus and a representation of the entire pattern of stimulation that was present prior to its delivery. Configural theory was formulated originally to account for generalization and discrimination in Pavlovian conditioning. The first part of the article demonstrates how this theory can be used to explain results from studies of overshadowing, blocking, summation, and discrimination learning. The second part of the article shows how the theory can be developed to explain a broader range of phenomena, including mediated conditioning, reinforcer devaluation effects, the differential outcomes effect, acquired equivalence, sensory preconditioning, and structural discriminations.
Pearce
John M
JM
Institute for Advanced Study, University of Indiana, Bloomington, USA. pearcejm@cardiff.ac.uk
D000818:Animals; D001245:Association Learning; D003214:Conditioning, Classical; D004193:Discrimination Learning; D005793:Generalization, Psychological; D016571:Neural Networks, Computer; D051381:Rats