Bayesian Models of Cognition: What's Built in After All?

Philosophy Compass 7 (2):127-138 (2012)
Abstract
This article explores some of the philosophical implications of the Bayesian modeling paradigm. In particular, it focuses on the ramifications of the fact that Bayesian models pre‐specify an inbuilt hypothesis space. To what extent does this pre‐specification correspond to simply ‘‘building the solution in''? I argue that any learner must have a built‐in hypothesis space in precisely the same sense that Bayesian models have one. This has implications for the nature of learning, Fodor's puzzle of concept acquisition, and the role of modeling in cognitive science
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DOI 10.1111/j.1747-9991.2011.00467.x
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References found in this work BETA
Causality: Models, Reasoning, and Inference.Judea Pearl - 2000 - Cambridge University Press.
The Language of Thought.Jerry A. Fodor - 1975 - Harvard University Press.

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Citations of this work BETA
Subjective Probability as Sampling Propensity.Thomas Icard - 2016 - Review of Philosophy and Psychology 7 (4):863-903.

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