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Evolution of cooperation in the snowdrift game among mobile players with random-pairing and reinforcement learning

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  • Jia, Ning
  • Ma, Shoufeng

Abstract

The evolutionary spatial game in a mobile population has attracted many researchers of biological, social and economic sciences. Considering some facts observed in the real world, this paper proposes a novel spatial evolutionary snowdrift game model with movable players. In this model, one player interacts only with the nearest neighbor in each turn, and makes decision in a reinforcement learning way. In a very large range of the parameters moving ability enhances cooperation, but under some special condition, velocity heavily depresses cooperation. Some explanations have also been given out by investigating the strategy-change behavior of players. The findings may be helpful in understanding cooperative behavior in natural and social systems consisting of mobile agents.

Suggested Citation

  • Jia, Ning & Ma, Shoufeng, 2013. "Evolution of cooperation in the snowdrift game among mobile players with random-pairing and reinforcement learning," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 392(22), pages 5700-5710.
    • Handle: RePEc:eee:phsmap:v:392:y:2013:i:22:p:5700-5710
    DOI: 10.1016/j.physa.2013.07.049
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    Citations

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    Cited by:

    1. Ding, Zhen-Wei & Zhang, Ji-Qiang & Zheng, Guo-Zhong & Cai, Wei-Ran & Cai, Chao-Ran & Chen, Li & Wang, Xu-Ming, 2024. "Emergence of anti-coordinated patterns in snowdrift game by reinforcement learning," Chaos, Solitons & Fractals, Elsevier, vol. 184(C).
    2. P. Schimit & B. Santos & C. Soares, 2015. "The evolution of cooperation with different fitness functions using probabilistic cellular automata," Computational Management Science, Springer, vol. 12(1), pages 35-43, January.
    3. Ye, Wenxing & Feng, Weiying & Lü, Chen & Fan, Suohai, 2017. "Memory-based prisoner’s dilemma game with conditional selection on networks," Applied Mathematics and Computation, Elsevier, vol. 307(C), pages 31-37.
    4. Ye, Wenxing & Fan, Suohai, 2017. "Evolutionary snowdrift game with rational selection based on radical evaluation," Applied Mathematics and Computation, Elsevier, vol. 294(C), pages 310-317.
    5. Kyle Weishaar & Igor V. Erovenko, 2022. "The Evolution of Cooperation in Two-Dimensional Mobile Populations with Random and Strategic Dispersal," Games, MDPI, vol. 13(3), pages 1-16, May.
    6. Igor V. Erovenko, 2019. "The Evolution of Cooperation in One-Dimensional Mobile Populations with Deterministic Dispersal," Games, MDPI, vol. 10(1), pages 1-12, January.
    7. Zhong, Shiquan & Jia, Ning & Ma, Shoufeng, 2014. "Iterated snowdrift game among mobile agents with myopic expected-reward based decision rule: Numerical and analytical research," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 414(C), pages 6-18.

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