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Evolution of cooperation in a one-shot Prisoner's Dilemma based on recognition of trustworthy and untrustworthy agents

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  • Janssen, Marco A.

Abstract

This article explores the conditions under which agents will cooperate in one-shot two-player Prisoner's Dilemma games if they are able to withdraw from playing the game and can learn to recognize the trustworthiness of their opponents. When the agents display a number of symbols and they learn which symbols are important to estimate the trustworthiness of others, agents will evolve who cooperate in games in line with experimental observations. These results are robust to significant levels of mutations and errors made by the players.

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  • Janssen, Marco A., 2008. "Evolution of cooperation in a one-shot Prisoner's Dilemma based on recognition of trustworthy and untrustworthy agents," Journal of Economic Behavior & Organization, Elsevier, vol. 65(3-4), pages 458-471, March.
    • Handle: RePEc:eee:jeborg:v:65:y:2008:i:3-4:p:458-471
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    3. Jason Barr & Troy Tassier, 2010. "Endogenous Neighborhood Selection and the Attainment of Cooperation in a Spatial Prisoner’s Dilemma Game," Computational Economics, Springer;Society for Computational Economics, vol. 35(3), pages 211-234, March.
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    6. Peter Kurrild-Klitgaard, 2010. "Exit, collective action and polycentric political systems," Public Choice, Springer, vol. 143(3), pages 339-352, June.
    7. Velu, C. & Iyer, S., 2008. "Returns-Based Beliefs and The Prisoner’s Dilemma," Cambridge Working Papers in Economics 0854, Faculty of Economics, University of Cambridge.
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    10. Bernard, Mark & Fanning, Jack & Yuksel, Sevgi, 2018. "Finding cooperators: Sorting through repeated interaction," Journal of Economic Behavior & Organization, Elsevier, vol. 147(C), pages 76-94.
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