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Model comparison, not model falsification

Published online by Cambridge University Press:  10 January 2019

Bradley C. Love*
Affiliation:
Experimental Psychology, University College London, London WC1H 0AP, United Kingdom. b.love@ucl.ac.ukhttp://bradlove.org

Abstract

Systematically comparing models that vary across components can be more informative and explanatory than determining whether behaviour is optimal, however defined. The process of model comparison has a number of benefits, including the possibility of integrating seemingly disparate empirical findings, understanding individual and group differences, and drawing theoretical connections between model proposals.

Type
Open Peer Commentary
Copyright
Copyright © Cambridge University Press 2018 

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References

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