Philosophy of Science 85 (1):79-101 (2018)

Authors
Thomas Icard
Stanford University
Abstract
While Bayesian models have been applied to an impressive range of cognitive phenomena, methodological challenges have been leveled concerning their role in the program of rational analysis. The focus of the current article is on computational impediments to probabilistic inference and related puzzles about empirical confirmation of these models. The proposal is to rethink the role of Bayesian methods in rational analysis, to adopt an independently motivated notion of rationality appropriate for computationally bounded agents, and to explore broad conditions under which Bayesian agents would be rational. The proposal is illustrated with a characterization of costs inspired by thermodynamics.
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DOI 10.1086/694837
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References found in this work BETA

Rational Choice and the Structure of the Environment.Herbert A. Simon - 1956 - Psychological Review 63 (2):129-138.
La Prévision: Ses Lois Logiques, Ses Sources Subjectives.Bruno de Finetti - 1937 - Annales de l'Institut Henri Poincaré 17:1-68.

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Citations of this work BETA

Being Realist About Bayes, and the Predictive Processing Theory of Mind.Matteo Colombo, Lee Elkin & Stephan Hartmann - 2021 - British Journal for the Philosophy of Science 72 (1):185-220.
The Accuracy-Coherence Tradeoff in Cognition.David Thorstad - forthcoming - British Journal for Philosophy of Science.
Rational monism and rational pluralism.Jack Spencer - 2020 - Philosophical Studies 178 (6):1769-1800.
Epistemic Irrationality in the Bayesian Brain.Daniel Williams - 2021 - British Journal for the Philosophy of Science 72 (4):913-938.

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