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Semi-rational models of conditioning: The case of trial order

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Daw, N., Courville, A., & Dayan, P. (2008). Semi-rational models of conditioning: The case of trial order. In N. Chater, & M. Oaksford (Eds.), The Probabilistic Mind: Prospects for Bayesian cognitive science$ (pp. 427-448). Oxford, UK: Oxford University Press.

Cite as: http://hdl.handle.net/21.11116/0000-0007-5739-8
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.