IDEAS home Printed from https://ideas.repec.org/a/gam/jgames/v7y2016i3p27-d78525.html
   My bibliography  Save this article

Evolution of Mindsight and Psychological Commitment among Strategically Interacting Agents

Author

Listed:
  • Dimitry Rtischev

    (Faculty of Economics, Gakushuin University, 1-5-1 Mejiro, Toshima-ku, Tokyo 171-8588, Japan)

Abstract

We study the evolution of strategic psychological capabilities in a population of interacting agents. Specifically, we consider agents which are either blind or with mindsight, and either transparent or opaque. An agent with mindsight can observe the psychological makeup of a transparent agent, i.e., its logic, emotions, commitments and other elements that determine how it chooses actions. A blind agent cannot observe and opaque agents cannot be observed. Our assumption that mindsight and transparency are costly and optional exposes a middle ground between standard game theory without mindsight and evolution of preferences theory with obligatory and costless mindsight. We show that the only evolutionarily stable monomorphic population is one in which all agents are blind, opaque, and act-rational. We find that mindsight, transparency, and rule-rational commitments may evolve, albeit only in a portion of the population that fluctuates in size over generations. We reexamine the Ultimatum and Trust games in light of our findings and demonstrate that an evolved population of agents can differ significantly from a population of simplistic payoff-maximizers in terms of psychological traits and economic outcomes.

Suggested Citation

  • Dimitry Rtischev, 2016. "Evolution of Mindsight and Psychological Commitment among Strategically Interacting Agents," Games, MDPI, vol. 7(3), pages 1-16, September.
    • Handle: RePEc:gam:jgames:v:7:y:2016:i:3:p:27-:d:78525
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2073-4336/7/3/27/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2073-4336/7/3/27/
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. Schniter, Eric & Sheremeta, Roman M. & Sznycer, Daniel, 2013. "Building and rebuilding trust with promises and apologies," Journal of Economic Behavior & Organization, Elsevier, vol. 94(C), pages 242-256.
    2. Heifetz, Aviad & Shannon, Chris & Spiegel, Yossi, 2007. "What to maximize if you must," Journal of Economic Theory, Elsevier, vol. 133(1), pages 31-57, March.
    3. Eddie Dekel & Jeffrey C. Ely & Okan Yilankaya, 2007. "Evolution of Preferences -super-1," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 74(3), pages 685-704.
    4. Mohlin, Erik, 2012. "Evolution of theories of mind," Games and Economic Behavior, Elsevier, vol. 75(1), pages 299-318.
    5. Hessel Oosterbeek & Randolph Sloof & Gijs van de Kuilen, 2004. "Cultural Differences in Ultimatum Game Experiments: Evidence from a Meta-Analysis," Experimental Economics, Springer;Economic Science Association, vol. 7(2), pages 171-188, June.
    6. Nikolaus Robalino & Arthur Robson, 2016. "The Evolution of Strategic Sophistication," American Economic Review, American Economic Association, vol. 106(4), pages 1046-1072, April.
    7. Robert J. Aumann, 2008. "Rule-Rationality versus Act-Rationality," Discussion Paper Series dp497, The Federmann Center for the Study of Rationality, the Hebrew University, Jerusalem.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Heller, Yuval & Mohlin, Erik, 2019. "Coevolution of deception and preferences: Darwin and Nash meet Machiavelli," Games and Economic Behavior, Elsevier, vol. 113(C), pages 223-247.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Jonathan Newton, 2018. "Evolutionary Game Theory: A Renaissance," Games, MDPI, vol. 9(2), pages 1-67, May.
    2. Heller, Yuval & Mohlin, Erik, 2019. "Coevolution of deception and preferences: Darwin and Nash meet Machiavelli," Games and Economic Behavior, Elsevier, vol. 113(C), pages 223-247.
    3. 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.
    4. Norman, Thomas W.L., 2012. "Equilibrium selection and the dynamic evolution of preferences," Games and Economic Behavior, Elsevier, vol. 74(1), pages 311-320.
    5. Philippe Jehiel, 2022. "Analogy-Based Expectation Equilibrium and Related Concepts:Theory, Applications, and Beyond," PSE Working Papers halshs-03735680, HAL.
    6. Joseph Y. Halpern & Yuval Heller & Eyal Winter, 2022. "The Benefits of Coarse Preferences," Papers 2201.10141, arXiv.org, revised Jun 2023.
    7. Alger, Ingela & Weibull, Jörgen W. & Lehmann, Laurent, 2020. "Evolution of preferences in structured populations: Genes, guns, and culture," Journal of Economic Theory, Elsevier, vol. 185(C).
    8. Burkhard C. Schipper, 2021. "The evolutionary stability of optimism, pessimism, and complete ignorance," Theory and Decision, Springer, vol. 90(3), pages 417-454, May.
    9. Alger, Ingela, 2021. "On the evolution of male competitiveness," Journal of Economic Behavior & Organization, Elsevier, vol. 190(C), pages 228-254.
    10. 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.
    11. Cheikbossian, Guillaume, 2021. "Evolutionarily stable in-group altruism in intergroup conflict over (local) public goods," Games and Economic Behavior, Elsevier, vol. 127(C), pages 206-226.
    12. Tóbiás, Áron, 2023. "Rational Altruism," Journal of Economic Behavior & Organization, Elsevier, vol. 207(C), pages 50-80.
    13. Cheikbossian, Guillaume, 2021. "The evolutionary stability of in-group altruism in productive and destructive group contests," Journal of Economic Behavior & Organization, Elsevier, vol. 188(C), pages 236-252.
    14. Norman, Thomas W.L., 2008. "Dynamically stable sets in infinite strategy spaces," Games and Economic Behavior, Elsevier, vol. 62(2), pages 610-627, March.
    15. Guillaume Cheikbossian, 2019. "Evolutionarily stable in-group altruismin intergroup conflict," CEE-M Working Papers halshs-02291876, CEE-M, Universtiy of Montpellier, CNRS, INRA, Montpellier SupAgro.
    16. Noussair, Charles N. & Offerman, Theo & Suetens, Sigrid & Van de Ven, Jeroen & Van Leeuwen, Boris & Van Veelen, Matthijs, 2014. "Predictably angry: Facial cues provide a credible signal of destructive behavior," IAST Working Papers 14-15, Institute for Advanced Study in Toulouse (IAST).
    17. Newton, Jonathan, 2017. "Shared intentions: The evolution of collaboration," Games and Economic Behavior, Elsevier, vol. 104(C), pages 517-534.
    18. 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.
    19. Aloys L. Prinz, 2019. "Indirect Evolution and Aggregate-Taking Behavior in a Football League: Utility Maximization, Profit Maximization, and Success," Games, MDPI, vol. 10(2), pages 1-12, May.
    20. Ron Berman & Yuval Heller, 2020. "Naive analytics equilibrium," Papers 2010.15810, arXiv.org, revised Apr 2021.

    More about this item

    Keywords

    theory of mind; mindsight; evolution of preferences; psychological commitment; act-rationality; rule-rationality; ultimatum game; trust game;
    All these keywords.

    JEL classification:

    • D83 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Search; Learning; Information and Knowledge; Communication; Belief; Unawareness
    • C73 - Mathematical and Quantitative Methods - - Game Theory and Bargaining Theory - - - Stochastic and Dynamic Games; Evolutionary Games
    • D87 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Neuroeconomics

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jgames:v:7:y:2016:i:3:p:27-:d:78525. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.