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Evolutionarily stable preferences

Author

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  • Ingela Alger

    (TSE-R - Toulouse School of Economics - UT Capitole - Université Toulouse Capitole - UT - Université de Toulouse - EHESS - École des hautes études en sciences sociales - CNRS - Centre National de la Recherche Scientifique - INRAE - Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement)

Abstract
The 50-year old concept of an evolutionarily stable strategy (ESS) provided a key tool for theorists to model ultimate drivers of behavior in social interactions. For decades economists ignored ultimate drivers and used models in which individuals choose strategies based on their preferences-a proximate mechanism for behavior-and the distribution of preferences in the population was taken to be fixed and given. This article summarizes some key findings in the literature on evolutionarily stable preferences, which in the past three decades has proposed models that combine the two approaches: individuals inherit their preferences, the preferences determine their strategy choices, which in turn determines evolutionary success. One objective is to highlight complementarities and potential avenues for future collaboration between biologists and economists.

Suggested Citation

  • Ingela Alger, 2023. "Evolutionarily stable preferences," Working Papers hal-03929518, HAL.
    • Handle: RePEc:hal:wpaper:hal-03929518
    Note: View the original document on HAL open archive server: https://hal.science/hal-03929518
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    References listed on IDEAS

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    Cited by:

    1. Ingela Alger & Laurent Lehmann, 2023. "Evolution of Semi-Kantian Preferences in Two-Player Assortative Interactions with Complete and Incomplete Information and Plasticity," Dynamic Games and Applications, Springer, vol. 13(4), pages 1288-1319, December.
    2. Alger, Ingela & Rivero-Wildemauwe, José Ignacio, 2024. "Doing the right thing (or not) in a lemons-like situation: on the role of social preferences and Kantian moral concerns," TSE Working Papers 24-1531, Toulouse School of Economics (TSE).
    3. Alger, Ingela & Gavrilets, Sergey & Durkee, Patrick, 2024. "Proximate and ultimate drivers of norms and norm change," IAST Working Papers 24-163, Institute for Advanced Study in Toulouse (IAST).
    4. Christian Hilbe & Maria Kleshnina & Kateřina Staňková, 2023. "Evolutionary Games and Applications: Fifty Years of ‘The Logic of Animal Conflict’," Dynamic Games and Applications, Springer, vol. 13(4), pages 1035-1048, December.

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