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Impact of expansion of priority range on cooperation in the prisoner's dilemma game

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  • Wang, Qiuling
  • Du, Chunpeng

Abstract

The exploration of cooperative evolution is one of the biggest challenges in evolutionary biology and social sciences. However, most existing research only assumes that the neighboring communities engaging in interaction and replacement are symmetric, and that each individual has the same number of replacement neighbors. In this paper, we consider an asymmetrical setup, namely, the number of interactive neighbors for some individuals is quite different from the number of their replacement neighbors in the system, turning that into a prisoner's dilemma model with an optimal selection mechanism. In our model, the crowd is divided into two categories, one type of person (V of the proportion of the population), have the right to choose a strategic learning model from eight neighbors by an optimal selection behavior, others only choose a strategic learning model from four neighbors. Through numerical simulation, we found that cooperation was significantly improved when V took a larger value. We explain that results depends on the microscopic phenomena.

Suggested Citation

  • Wang, Qiuling & Du, Chunpeng, 2019. "Impact of expansion of priority range on cooperation in the prisoner's dilemma game," Chaos, Solitons & Fractals, Elsevier, vol. 129(C), pages 77-80.
    • Handle: RePEc:eee:chsofr:v:129:y:2019:i:c:p:77-80
    DOI: 10.1016/j.chaos.2019.07.051
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    References listed on IDEAS

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    8. Chu, Chen & Zhai, Yao & Mu, Chunjiang & Hu, Die & Li, Tong & Shi, Lei, 2019. "Reputation-based popularity promotes cooperation in the spatial prisoner's dilemma game," Applied Mathematics and Computation, Elsevier, vol. 362(C), pages 1-1.
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    Cited by:

    1. Gao, Liyan & Pan, Qiuhui & He, Mingfeng, 2021. "Environmental-based defensive promotes cooperation in the prisoner’s dilemma game," Applied Mathematics and Computation, Elsevier, vol. 401(C).

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