IDEAS home Printed from https://ideas.repec.org/a/eee/apmaco/v497y2025ics0096300325000943.html
   My bibliography  Save this article

Reconstruction of micro-dynamics characterizing human decision-making behavior in repeated social dilemmas

Author

Listed:
  • Yang, Luhe
  • Ning, Yongpeng
  • Zhang, Lianzhong

Abstract

Exploring evolutionary updating rules more consistent with individual cognitive processes is crucial to the study of human cooperation. A considerable number of dynamic models describing human decision-making behavior lack empirical evidence. We have conducted a behavioral experiment and proposed a hypothesis that human players make decisions based on proportional change rather than absolute difference of payoffs. Thus we can reconstruct the micro-dynamics, namely individual strategy updating rules, with a singular function considering the individual's choice to cooperate and defect separately. We find the micro-dynamics evolve over time and our dynamic model can well predict the evolution of cooperation. Furthermore, combined with the conception “elasticity” commonly used in economics, we reveal the relationship between the intrinsic property of population and players’ subjective decision intentions. Our findings provide a novel framework for measuring human decision-making behavior with bounded rationality in repeated social dilemmas.

Suggested Citation

  • Yang, Luhe & Ning, Yongpeng & Zhang, Lianzhong, 2025. "Reconstruction of micro-dynamics characterizing human decision-making behavior in repeated social dilemmas," Applied Mathematics and Computation, Elsevier, vol. 497(C).
  • Handle: RePEc:eee:apmaco:v:497:y:2025:i:c:s0096300325000943
    DOI: 10.1016/j.amc.2025.129367
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0096300325000943
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.amc.2025.129367?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    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:eee:apmaco:v:497:y:2025:i:c:s0096300325000943. 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.

    We have no bibliographic references for this item. You can help adding them by using 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: Catherine Liu (email available below). General contact details of provider: https://www.journals.elsevier.com/applied-mathematics-and-computation .

    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.