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Effects of payoff-related velocity in the co-evolutionary snowdrift game

Author

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  • Yang, Zhihu
  • Li, Zhi
  • Wu, Te
  • Wang, Long

Abstract

Previous studies concerning mobile populations seldom distinguish mobility on the individual level. In these models, all individuals have the identical moving speed and this moving speed has not been clearly defined in terms of its relevance to other features intrinsic to individual. Here we investigate the evolution of cooperation with a minimal co-evolutionary snowdrift game in which the payoff-dependent velocity as well as velocity diversity is taken into account. We find that the fate of evolution in such scenarios is precisely ruled both by population mobility and the inherent parameter of the snowdrift game. The outside-in and inside-out like attacks on cooperator clusters (C-clusters) are triggered in the Monte Carlo simulation. The results show that low mobility can lead to a plateau of full cooperation provided the challenge to cooperate is not too high, and also that high mobility always inhibits cooperation. Nevertheless, the phase transition diagram implies moderate population mobility most benefits the survival of cooperators when cooperation faces the greater challenge. Finally, the evolution of strategies seemingly rises superior to selection strength once the mobility intensity is fixed. Our findings may shed new light on the evolution of strategies in mobile systems.

Suggested Citation

  • Yang, Zhihu & Li, Zhi & Wu, Te & Wang, Long, 2014. "Effects of payoff-related velocity in the co-evolutionary snowdrift game," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 393(C), pages 304-311.
  • Handle: RePEc:eee:phsmap:v:393:y:2014:i:c:p:304-311
    DOI: 10.1016/j.physa.2013.08.039
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    Citations

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    Cited by:

    1. Hu, Xiang & Liu, Xingwen & Zhou, Xiaobing, 2022. "A proportional-neighborhood-diversity evolution in snowdrift game on square lattice," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 607(C).
    2. Zhu, Jiabao & Liu, Xingwen, 2021. "The number of strategy changes can be used to promote cooperation in spatial snowdrift game," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 575(C).
    3. Zhang, Liming & Huang, Changwei & Li, Haihong & Dai, Qionglin & Yang, Junzhong, 2021. "Cooperation guided by imitation, aspiration and conformity-driven dynamics in evolutionary games," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 561(C).
    4. Li, Ya & Lan, Xin & Deng, Xinyang & Sadiq, Rehan & Deng, Yong, 2014. "Comprehensive consideration of strategy updating promotes cooperation in the prisoner’s dilemma game," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 403(C), pages 284-292.
    5. Yang, Kai & Huang, Changwei & Dai, Qionglin & Yang, Junzhong, 2018. "The effects of attribute persistence on cooperation in evolutionary games," Chaos, Solitons & Fractals, Elsevier, vol. 115(C), pages 23-28.
    6. 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.
    7. Zhang, Lan & Huang, Changwei & Li, Haihong & Dai, Qionglin & Yang, Junzhong, 2021. "Effects of directional migration for pursuit of profitable circumstances in evolutionary games," Chaos, Solitons & Fractals, Elsevier, vol. 144(C).
    8. Liu, Yaojun & Liu, Xingwen, 2024. "Promotion of cooperation in evolutionary snowdrift game with heterogeneous memories," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 633(C).
    9. Zhang, Kangjie & Cheng, Hongyan, 2016. "Co-evolution of payoff strategy and interaction strategy in prisoner’s dilemma game," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 461(C), pages 439-445.
    10. Hu, Wenjun & Zhang, Gang & Tian, Haiyan, 2019. "The stability of imitation dynamics with discrete distributed delays," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 521(C), pages 218-224.
    11. Shu, Feng & Liu, Xingwen & Fang, Kai & Chen, Hao, 2018. "Memory-based snowdrift game on a square lattice," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 496(C), pages 15-26.
    12. Yang, Yixin & Pan, Qiuhui & He, Mingfeng, 2023. "The influence of environment-based autonomous mobility on the evolution of cooperation," Chaos, Solitons & Fractals, Elsevier, vol. 169(C).

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