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

Published online by Cambridge University Press:  25 August 2011

David Danks  and
Frederick Eberhardt
David Danks
Affiliation:
Department of Philosophy, Carnegie Mellon University, Pittsburgh, PA 15213. ddanks@cmu.eduhttp://www.hss.cmu.edu/philosophy/faculty-danks.php
Frederick Eberhardt
Affiliation:
Philosophy–Neuroscience–Psychology Program, Washington University in St. Louis, St. Louis, MO 63130. eberhardt@wustl.eduhttp://www.artsci.wustl.edu/~feberhar/
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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.

Type
Open Peer Commentary
Information
Behavioral and Brain Sciences , Volume 34 , Issue 4 , August 2011 , pp. 197
Copyright
Copyright © Cambridge University Press 2011

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References

Eberhardt, F. & Danks, D. (2011) Confirmation in the cognitive sciences: The problematic case of Bayesian models. Minds and Machines 21(3):389–410.CrossRefGoogle Scholar
Oaksford, M. & Chater, N. (2007) Bayesian rationality: The probabilistic approach to human reasoning. Oxford University Press.CrossRefGoogle Scholar