IDEAS home Printed from https://ideas.repec.org/a/eee/apmaco/v508y2026ics0096300325003881.html
   My bibliography  Save this article

The evolution of social dilemma based on aspiration-based collective interdependence

Author

Listed:
  • Zhu, Qianlong
  • Wu, Qi
  • Chen, Wei
  • Tao, Jun

Abstract

Group interactions represent a critical class which can not be adequately explained through the mere aggregation of pairwise interactions. For instance, collective interdependence exemplifies how the functioning of interdependent groups across different systems emerges from their synergistic relationships. This study introduces an aspiration-based adaptive mechanism for collective interdependence to explore the evolution of cooperation. Collective interdependence is triggered when the total payoff of a group surpasses a predefined aspiration level. Our findings reveal that the global synergy factor inherent to collective interdependence significantly enhances cooperative behavior. However, the role of aspiration exhibits nuanced effects. It is found that an optimal aspiration level maximizes cooperation under conditions of high global synergy effects. Yet for low global synergy effects and local temptations, cooperation displays a bimodal distribution as aspiration increases, with the second peak surpassing the first in magnitude. Furthermore, for a proper aspiration, it is possible for cooperators to dominate one subpopulation and defectors to occupy the other one. Our work reveals the important influence of collective interdependence on the spreading of cooperators, and may provide a perspective to study human cooperation on interdependent systems.

Suggested Citation

  • Zhu, Qianlong & Wu, Qi & Chen, Wei & Tao, Jun, 2026. "The evolution of social dilemma based on aspiration-based collective interdependence," Applied Mathematics and Computation, Elsevier, vol. 508(C).
  • Handle: RePEc:eee:apmaco:v:508:y:2026:i:c:s0096300325003881
    DOI: 10.1016/j.amc.2025.129662
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0096300325003881
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.amc.2025.129662?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

    for a different version of it.

    More about this item

    Keywords

    ;
    ;
    ;
    ;

    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:eee:apmaco:v:508:y:2026:i:c:s0096300325003881. 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.