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Type: Journal article
Title: Bayesian models of cognition: what's built in after all?
Author: Perfors, A.
Citation: Philosophy Compass, 2012; 7(2):127-138
Publisher: Wiley-Blackwell Publishing, Inc.
Issue Date: 2012
ISSN: 1747-9991
Statement of
Amy Perfors
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 (whether computer or human) 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.
Rights: © 2012 The Author. Philosophy Compass © 2012 Blackwell Publishing Ltd.
RMID: 0020118987
DOI: 10.1111/j.1747-9991.2011.00467.x
Appears in Collections:Psychology publications

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