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Game Theoretic Explanations and the Evolution of Justice

Published online by Cambridge University Press:  01 April 2022

Justin D'Arms*
Affiliation:
Department of Philosophy, Ohio State University
Robert Batterman*
Affiliation:
Department of Philosophy, Ohio State University
Krzyzstof Górny*
Affiliation:
Department of Physics, Ohio State University

Abstract

Game theoretic explanations of the evolution of human behavior have become increasingly widespread. At their best, they allow us to abstract from misleading particulars in order to better recognize and appreciate broad patterns in the phenomena of human social life. We discuss this explanatory strategy, contrasting it with the particularist methodology of contemporary evolutionary psychology. We introduce some guidelines for the assessment of evolutionary game theoretic explanations of human behavior: such explanations should be representative, robust, and flexible. Distinguishing these features sharply can help to clarify the import and accuracy of game theorists' claims about the robustness and stability of their explanatory schemes. Our central example is the work of Brian Skyrms, who offers a game theoretic account of the evolution of our sense of justice. Modeling the same Nash game as Skyrms, we show that, while Skyrms' account is robust with respect to certain kinds of variation, it fares less well in other respects.

Type
Research Article
Copyright
Copyright © Philosophy of Science Association 1998

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Footnotes

Send reprint requests to Justin D'Arms, Department of Philosophy, Ohio State University, 350 University Hall, 230 North Oval Mall, Columbus, OH 43210. Or e-mail: darms.l@osu.edu.

We would like to thank John Doris, William Harms, Brian Skyrms, Neil Tennant, Mark Wilson, an audience at University of Pittsburgh Center for History and Philosophy of Science, and seminars at Bowling Green State University and Ohio State University for helpful discussions and criticism. We would also like to thank Elliott Sober and an anonymous referee for Philosophy of Science for detailed and helpful written comments. Robert Batterman's work has been partially supported by the National Science Foundation under Award No. SBR-952052.

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