Keeping Bayesian models rational: The need for an account of algorithmic rationality

Behavioral and Brain Sciences 34 (4):197-197 (2011)
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Abstract

We argue that the authors’ call to integrate Bayesian models more strongly with algorithmic- and implementational-level models must go hand in hand with a call for a fully developed account of algorithmic rationality. Without such an account, the integration of levels would come at the expense of the explanatory benefit that rational models provide

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Author Profiles

Frederick Eberhardt
California Institute of Technology
David Danks
University of California, San Diego

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