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Reverse engineering the structure of cognitive mechanisms

Published online by Cambridge University Press:  25 August 2011

David Pietraszewski
Affiliation:
Yale University, Department of Psychology, Yale University, New Haven, CT 06520-8205. [email protected]@yale.edu
Annie E. Wertz
Affiliation:
Yale University, Department of Psychology, Yale University, New Haven, CT 06520-8205. [email protected]@yale.edu

Abstract

Describing a cognitive system at a mechanistic level requires an engineering task analysis. This involves identifying the task and developing models of possible solutions. Evolutionary psychology and Bayesian modeling make complimentary contributions: Evolutionary psychology suggests the types of tasks that human brains were designed to solve, while Bayesian modeling provides a rigorous description of possible computational solutions to such problems.

Type
Open Peer Commentary
Copyright
Copyright © Cambridge University Press 2011

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References

Cosmides, L. & Tooby, J. (1987) From evolution to behavior: Evolutionary psychology as the missing link. In: The latest on the best: Essays on evolution and optimality, ed. Dupre, J., pp. 277306. MIT Press.Google Scholar
Marr, D. (1982) Vision: A computational investigation into the human representation and processing of visual information. W. H. Freeman.Google Scholar
Perrigo, G., Belvin, L. & Vom Saal, F. S. (1991) Individual variation in the neural timing of infanticide and parental behavior in male house mice. Physiology and Behavior 50:287–96.CrossRefGoogle ScholarPubMed
Perrigo, G., Belvin, L. & Vom Saal, F. S. (1992) Time and sex in the male mouse: Temporal regulation of infanticide and parental behavior. Chronobiology International 9:421–33.CrossRefGoogle ScholarPubMed
Tooby, J., Cosmides, L., Sell, A., Lieberman, D. & Sznycer, D. (2008) Internal regulatory variables and the design of human motivation: A computational and evolutionary approach. In: Handbook of approach and avoidance motivation, ed. Elliot, A., pp. 251–71. Erlbaum.Google Scholar