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Bayesian computation and mechanism: Theoretical pluralism drives scientific emergence

Published online by Cambridge University Press:  25 August 2011

David K. Sewell ,
Daniel R. Little  and
Stephan Lewandowsky
David K. Sewell
Affiliation:
Department of Psychological Sciences, The University of Melbourne, Melbourne, VIC 3010, Australia. dsewell@unimelb.edu.audaniel.little@unimelb.edu.auhttp://www.psych.unimelb.edu.au/people/staff/SewellD.htmlhttp://www.psych.unimelb.edu.au/research/labs/knowlab/index.html
Daniel R. Little
Affiliation:
Department of Psychological Sciences, The University of Melbourne, Melbourne, VIC 3010, Australia. dsewell@unimelb.edu.audaniel.little@unimelb.edu.auhttp://www.psych.unimelb.edu.au/people/staff/SewellD.htmlhttp://www.psych.unimelb.edu.au/research/labs/knowlab/index.html
Stephan Lewandowsky
Affiliation:
School of Psychology, The University of Western Australia, Crawley, WA 6009, Australia. lewan@psy.uwa.edu.auhttp://www.cogsciwa.com/
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Abstract

The breadth-first search adopted by Bayesian researchers to map out the conceptual space and identify what the framework can do is beneficial for science and reflective of its collaborative and incremental nature. Theoretical pluralism among researchers facilitates refinement of models within various levels of analysis, which ultimately enables effective cross-talk between different levels of analysis.

Type
Open Peer Commentary
Information
Behavioral and Brain Sciences , Volume 34 , Issue 4 , August 2011 , pp. 212 - 213
Copyright
Copyright © Cambridge University Press 2011

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