title: Bayesian associative learning.
abstract: The Bayesian approach to belief updating is par excellence a theory of learning--a theory of how beliefs should be revised in the light of new evidence. Yet despite its considerable utility as a framework for understanding cognition, it has not been prominent in theorizing about elementary learning processes in animals and humans. New research by Kruschke seems set to change this and to offer a bridge between rational and empirically descriptive accounts of learning.
authors.affiliation: Department of Psychology, University College London, Gower Street, London WC1E 6BT, UK. d.shanks@ucl.ac.uk
authors.forename: David R
authors.initials: DR
authors.lastname: Shanks
mesh_terms: D001245:Association Learning; D001499:Bayes Theorem; D003071:Cognition; D003469:Culture; D006801:Humans; D011939:Mental Recall