Chapter

Semi-rational models of conditioning:

Nathaniel D. Daw, Aaron C. Courville and Peter Dayan

in The Probabilistic Mind:

Published in print March 2008 | ISBN: 9780199216093
Published online March 2012 | e-ISBN: 9780191695971 | DOI: http://dx.doi.org/10.1093/acprof:oso/9780199216093.003.0019
Semi-rational models of conditioning:

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This chapter considers the question of how learning adapts to changing environments, with particular reference to animal studies of operant and classical conditioning. It discusses a variety of probabilistic models, with different assumptions concerning the environment; and contrasts this type of model with a model by Kruschke (2006) which carries out local, approximate, Bayesian inference. It further suggests that it may be too early to incorporate mechanistic limitations into models of conditioning — enriching the understanding of the environment, and working with a ‘pure’ Bayesian rational analysis for that environment, may provide an alternative, and perhaps theoretically more elegant, way forward.

Keywords: learning; animal studies; Kruschke; Bayesian inference; environment; conditioning

Chapter.  9972 words.  Illustrated.

Subjects: Cognitive Psychology

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