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How does Bayesian reverse-engineering work?

Zednik, C. and Jäkel, F.
Bello, P. and Guarini, M. and McShane, M. and Scasselati, B. (eds.) (2014):
How does Bayesian reverse-engineering work?
Austin, TX, Cognitive Science Society, In: Proceedings of the 36th Annual Conference of the Cognitive Science Society, Austin, TX, [Online-Edition: https://mindmodeling.org/cogsci2014/papers/123/paper123.pdf],
[Conference or Workshop Item]

Abstract

Bayesian models of cognition and behavior are particularly promising when they are used in reverse-engineering explanations: explanations that descend from the computational level of analysis to the algorithmic and implementation levels. Unfortunately, it remains unclear exactly how Bayesian models constrain and influence these lower levels of analysis. In this paper, we review and reject two widespread views of Bayesian reverse-engineering, and propose an alternative view according to which Bayesian models at the computational level impose pragmatic constraints that facilitate the generation of testable hypotheses at the algorithmic and implementation levels.

Item Type: Conference or Workshop Item
Erschienen: 2014
Editors: Bello, P. and Guarini, M. and McShane, M. and Scasselati, B.
Creators: Zednik, C. and Jäkel, F.
Title: How does Bayesian reverse-engineering work?
Language: English
Abstract:

Bayesian models of cognition and behavior are particularly promising when they are used in reverse-engineering explanations: explanations that descend from the computational level of analysis to the algorithmic and implementation levels. Unfortunately, it remains unclear exactly how Bayesian models constrain and influence these lower levels of analysis. In this paper, we review and reject two widespread views of Bayesian reverse-engineering, and propose an alternative view according to which Bayesian models at the computational level impose pragmatic constraints that facilitate the generation of testable hypotheses at the algorithmic and implementation levels.

Place of Publication: Austin, TX
Publisher: Cognitive Science Society
Divisions: 03 Department of Human Sciences
03 Department of Human Sciences > Institute for Psychology
03 Department of Human Sciences > Institute for Psychology > Models of Higher Cognition
Event Title: Proceedings of the 36th Annual Conference of the Cognitive Science Society
Event Location: Austin, TX
Date Deposited: 09 Jul 2018 09:23
Official URL: https://mindmodeling.org/cogsci2014/papers/123/paper123.pdf
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