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

Behavioral and Brain Sciences 32 (1):89-90 (2009)
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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DOI 10.1017/S0140525X0900034X
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Hans Reichenbach (1939). Experience and Prediction. Philosophical Review 48 (5):536-538.

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