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Don't throw out the Bayes with the bathwater

Published online by Cambridge University Press:  25 August 2011

Philip M. Fernbach  and
Steven A. Sloman
Philip M. Fernbach
Affiliation:
Department of Cognitive, Linguistic and Psychological Sciences, Brown University, Providence, RI 02912. [email protected][email protected]://sites.google.com/site/philfernbachswebpage/http://sites.google.com/site/slomanlab/
Steven A. Sloman
Affiliation:
Department of Cognitive, Linguistic and Psychological Sciences, Brown University, Providence, RI 02912. [email protected][email protected]://sites.google.com/site/philfernbachswebpage/http://sites.google.com/site/slomanlab/
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Abstract

We highlight one way in which Jones & Love (J&L) misconstrue the Bayesian program: Bayesian models do not represent a rejection of mechanism. This mischaracterization obscures the valid criticisms in their article. We conclude that computational-level Bayesian modeling should not be rejected or discouraged a priori, but should be held to the same empirical standards as other models.

Type
Open Peer Commentary
Information
Behavioral and Brain Sciences , Volume 34 , Issue 4 , August 2011 , pp. 198 - 199
Copyright
Copyright © Cambridge University Press 2011

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References

Anderson, J. R. (1990) The adaptive character of thought. Erlbaum.Google Scholar
Bar-Tal, D. (2002) From intractable conflict through conflict resolution to reconciliation: Psychological analysis. Political Psychology 21(2):351–65.CrossRefGoogle Scholar
Sloman, S. A. & Fernbach, P. M. (2008) The value of rational analysis: An assessment of causal reasoning and learning. In: The probabilistic mind: Prospects for rational models of cognition, ed. Chater, N. & Oaksford, M, pp. 485–500. Oxford University Press.CrossRefGoogle Scholar
Steyvers, M., Tenenbaum, J. B., Wagenmakers, E.-J. & Blum, B. (2003) Inferring causal networks from observations and interventions. Cognitive Science 27:453–89.CrossRefGoogle Scholar
Tenenbaum, J. B. & Griffiths, T. L. (2001) Generalization, similarity, and Bayesian inference. Behavioral and Brain Sciences 24(4):629–40.CrossRefGoogle ScholarPubMed