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Environmental influences on cooperation in social dilemmas on networks

Author

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  • Xie, Yunya
  • Chang, Shuhua
  • Yan, Ming
  • Zhang, Zhipeng
  • Wang, Xinyu

Abstract

Environmental influence on cooperation is a classical topic that is widely applicable to social interactions. Here, we introduce a realistic model which depends on both the payoff and the strategy of the environment. As the strategy of the environment rather than the neighbor is imitated with a probability, the model takes more attention on the comprehensive influence of the nearby neighbors. The simulation results show that the cooperation level can be widely enhanced for the prisoner’s dilemma game and the snowdrift game with this environment factor. In this environmental model, the mechanism of the survival of cooperators is deeply studied, and the corresponding results can be derived. Although the survival of cooperators also depends on the formation of the cooperator clusters, the enhancement of the cooperation level can be interpreted as the accumulation effect of the transformation of defection into cooperation. Interestingly, there exists a threshold of the initial fraction of the cooperators, and the cooperation increases significantly when this threshold is reached Moreover, the square cooperative cluster is stable, and robust against different levels of the noise parameter and temptation in the strategy adoption process. This work may shed light on the mechanism of cooperation in the real world.

Suggested Citation

  • Xie, Yunya & Chang, Shuhua & Yan, Ming & Zhang, Zhipeng & Wang, Xinyu, 2018. "Environmental influences on cooperation in social dilemmas on networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 492(C), pages 2027-2033.
    • Handle: RePEc:eee:phsmap:v:492:y:2018:i:c:p:2027-2033
    DOI: 10.1016/j.physa.2017.11.118
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    Citations

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    Cited by:

    1. Shu, Feng & Liu, Yaojun & Liu, Xingwen & Zhou, Xiaobing, 2019. "Memory-based conformity enhances cooperation in social dilemmas," Applied Mathematics and Computation, Elsevier, vol. 346(C), pages 480-490.
    2. Shu, Feng & Li, Min & Liu, Xingwen, 2019. "Memory mechanism with weighting promotes cooperation in the evolutionary games," Chaos, Solitons & Fractals, Elsevier, vol. 120(C), pages 17-24.
    3. Rumeng Zhang & Lihong Li, 2023. "Research on Evolutionary Game and Simulation of Information Sharing in Prefabricated Building Supply Chain," Sustainability, MDPI, vol. 15(13), pages 1-24, June.

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