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Spatial multi-games under myopic update rule

Author

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  • Yuanxin Ye

    (Kunming University of Science and Technology
    Kunming University of Science and Technology)

  • Yiran Xie

    (Kunming University of Science and Technology
    Kunming University of Science and Technology)

  • Bo Yang

    (Kunming University of Science and Technology
    Kunming University of Science and Technology)

Abstract

Considering the population diversity and the limitation of individual information in repeated N-person games, we study a spatial multi-games model under the myopic rule in this paper, in which two distinct types of players participate in snowdrift game (SG) and prisoner’s dilemma game (PDG), respectively. Monte Carlo simulation method is used to study: the effects of game intensity parameters b and $$\delta $$ δ , noise parameter k and mixing ratio p on the frequency of cooperators; the difference between learning update rule and myopic update rule. The results demonstrate that: (1) when the values of b and $$\delta $$ δ are small, noise parameter k can promote the emergence of cooperation in SG with myopic update rule; (2) different from learning mechanism, the effect of the parameters p on the frequency of cooperators is nonmonotonic under myopic mechanism; (3) cooperators can form clusters to resist the invasion of defectors under learning update rule, while cooperators and defectors tend to form the chessboard-like patterns to increase individual payoff under myopic update rule. Graphic Abstract

Suggested Citation

  • Yuanxin Ye & Yiran Xie & Bo Yang, 2022. "Spatial multi-games under myopic update rule," The European Physical Journal B: Condensed Matter and Complex Systems, Springer;EDP Sciences, vol. 95(3), pages 1-8, March.
    • Handle: RePEc:spr:eurphb:v:95:y:2022:i:3:d:10.1140_epjb_s10051-022-00308-x
    DOI: 10.1140/epjb/s10051-022-00308-x
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    Cited by:

    1. Lee, Hsuan-Wei & Cleveland, Colin & Szolnoki, Attila, 2023. "Restoring spatial cooperation with myopic agents in a three-strategy social dilemma," Applied Mathematics and Computation, Elsevier, vol. 458(C).
    2. Su, Ran & Fang, Zhi-Ming & Hao, Qing-Yi & Sheng, Chun & Fu, Yuan-Jiao, 2024. "The evolution of cooperation affected by unidirectional acceptability mechanism on interdependent networks," Chaos, Solitons & Fractals, Elsevier, vol. 184(C).

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