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Changeable updating rule promotes cooperation in well-mixed and structured populations

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  • Gao, Liyan
  • Pan, Qiuhui
  • He, Mingfeng

Abstract

Information asymmetry makes individuals rely on different criteria when updating strategies. We combined the Fermi and aspiration process into a changeable process. Our aim is to study how individuals change strategies based on the selection of updating rules and how this affects the evolution of cooperation in public goods game. Our analytical and simulated results indicate that the changeable process indeed can effectively promote cooperation both in well-mixed and structured populations. A striking finding is that the cooperation level is a nonmonotonic function of the aspiration value in the structured population when the social dilemma is weak. Too high probability that individual adopts the aspiration process will impede the evolution of cooperation for low aspiration value. Conversely, it will enhance the evolution of cooperation for high aspiration value.

Suggested Citation

  • Gao, Liyan & Pan, Qiuhui & He, Mingfeng, 2020. "Changeable updating rule promotes cooperation in well-mixed and structured populations," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 547(C).
    • Handle: RePEc:eee:phsmap:v:547:y:2020:i:c:s0378437120301849
    DOI: 10.1016/j.physa.2020.124446
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    References listed on IDEAS

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    Cited by:

    1. Peican Zhu & Xin Hou & Yangming Guo & Jiwei Xu & Jinzhuo Liu, 2021. "Investigating the effects of updating rules on cooperation by incorporating interactive diversity," The European Physical Journal B: Condensed Matter and Complex Systems, Springer;EDP Sciences, vol. 94(2), pages 1-8, February.
    2. Wang, Le & Chen, Tong & Wu, Zhenghong, 2021. "Promoting cooperation by reputation scoring mechanism based on historical donations in public goods game," Applied Mathematics and Computation, Elsevier, vol. 390(C).

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