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Coevolution of deception and preferences: Darwin and Nash meet Machiavelli

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  • Yuval Heller
  • Erik Mohlin

Abstract

We develop a framework in which individuals' preferences coevolve with their abilities to deceive others about their preferences and intentions. Specifically, individuals are characterised by (i) a level of cognitive sophistication and (ii) a subjective utility function. Increased cognition is costly, but higher-level individuals have the advantage of being able to deceive lower-level opponents about their preferences and intentions in some of the matches. In the remaining matches, the individuals observe each other's preferences. Our main result shows that, essentially, only efficient outcomes can be stable. Moreover, under additional mild assumptions, we show that an efficient outcome is stable if and only if the gain from unilateral deviation is smaller than the effective cost of deception in the environment.

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  • Yuval Heller & Erik Mohlin, 2020. "Coevolution of deception and preferences: Darwin and Nash meet Machiavelli," Papers 2006.15308, arXiv.org.
  • Handle: RePEc:arx:papers:2006.15308
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    Cited by:

    1. Florian Gauer & Christoph Kuzmics, 2020. "Cognitive Empathy In Conflict Situations," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 61(4), pages 1659-1678, November.
    2. Yuval Heller & Erik Mohlin, 2018. "Observations on Cooperation," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 85(4), pages 2253-2282.
    3. Alger, Ingela, 2022. "Evolutionarily stable preferences," TSE Working Papers 22-1355, Toulouse School of Economics (TSE), revised Dec 2022.
    4. Jonathan Newton, 2018. "Evolutionary Game Theory: A Renaissance," Games, MDPI, vol. 9(2), pages 1-67, May.
    5. Yuval Heller & Eyal Winter, 2020. "Biased-Belief Equilibrium," American Economic Journal: Microeconomics, American Economic Association, vol. 12(2), pages 1-40, May.
    6. Sawa, Ryoji, 2021. "A stochastic stability analysis with observation errors in normal form games," Games and Economic Behavior, Elsevier, vol. 129(C), pages 570-589.
    7. Pardo, Oliver, 2017. "A note on “Evolution of Preferences”," Journal of Mathematical Economics, Elsevier, vol. 71(C), pages 129-134.
    8. Ennio Bilancini & Leonardo Boncinelli & Alessandro Tampieri, 2021. "Strategy Assortativity and the Evolution of Parochialism," DEM Discussion Paper Series 21-20, Department of Economics at the University of Luxembourg.
    9. Tóbiás, Áron, 2023. "Rational Altruism," Journal of Economic Behavior & Organization, Elsevier, vol. 207(C), pages 50-80.
    10. Ziwei Wang & Jiabin Wu, 2023. "Partner Choice and Morality: Preference Evolution under Stable Matching," Papers 2304.11504, arXiv.org, revised Oct 2023.
    11. Heller, Yuval & Mohlin, Erik, 2015. "Stable Observable Behavior," MPRA Paper 63013, University Library of Munich, Germany.
    12. Sawa, Ryoji, 2021. "A prospect theory Nash bargaining solution and its stochastic stability," Journal of Economic Behavior & Organization, Elsevier, vol. 184(C), pages 692-711.
    13. Vaios Koliofotis, 2021. "Applying evolutionary methods in economics: progress or pitfall?," Journal of Bioeconomics, Springer, vol. 23(2), pages 203-223, July.
    14. Sung-Hoon Park & Jeong-Yoo Kim, 2022. "Evolutionary stability of preferences: altruism, selfishness, and envy," Social Choice and Welfare, Springer;The Society for Social Choice and Welfare, vol. 58(2), pages 349-363, February.

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    JEL classification:

    • C72 - Mathematical and Quantitative Methods - - Game Theory and Bargaining Theory - - - Noncooperative Games
    • C73 - Mathematical and Quantitative Methods - - Game Theory and Bargaining Theory - - - Stochastic and Dynamic Games; Evolutionary Games

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