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The strengths of – and some of the challenges for – Bayesian models of cognition

Published online by Cambridge University Press:  12 February 2009

Thomas L. Griffiths
Thomas L. Griffiths
Affiliation:
Department of Psychology, University of California, Berkeley, Berkeley, CA 94720-1650. tom_griffiths@berkeley.eduhttp://cocosci.berkeley.edu
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Abstract

Bayesian Rationality (Oaksford & Chater 2007) illustrates the strengths of Bayesian models of cognition: the systematicity of rational explanations, transparent assumptions about human learners, and combining structured symbolic representation with statistics. However, the book also highlights some of the challenges this approach faces: of providing psychological mechanisms, explaining the origins of the knowledge that guides human learning, and accounting for how people make genuinely new discoveries.

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Type
Open Peer Commentary
Information
Behavioral and Brain Sciences , Volume 32 , Issue 1 , February 2009 , pp. 89 - 90
Copyright
Copyright © Cambridge University Press 2009

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