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Effects of three-faced strategy on the evolution of cooperation in social dilemma

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Listed:
  • Feng, Sinan
  • Liu, Xuesong

Abstract

Cooperative behavior can contribute to the development of society. Evolutionary game theory is a fundamental framework for studying cooperative behavior. This article explores the evolutionary dynamics of the three-faced strategy, which can demonstrate its different attribute behaviors according to different types of objects encountered by paying a certain role-switching cost. When three-faced individuals encounter cooperators, they will show defection behavior; when they interact with defectors, they will show punishment behavior; and when they meet the same kind, they will show cooperative behavior. The results show that the presence of three-faced individuals can effectively suppress defectors when the cost of role-switching is small or when the government gives relatively high incentives. Moreover, the moderate role-switching cost enhances the maintenance and emergence of cooperators. Additionally, as the system is in a stable state, which is full of three-faced individuals, the behavior displayed by the three-faced individuals at this time is consistent with that of the cooperators, which also promotes cooperative behavior in the population to some extent.

Suggested Citation

  • Feng, Sinan & Liu, Xuesong, 2024. "Effects of three-faced strategy on the evolution of cooperation in social dilemma," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 639(C).
  • Handle: RePEc:eee:phsmap:v:639:y:2024:i:c:s0378437124001390
    DOI: 10.1016/j.physa.2024.129631
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    References listed on IDEAS

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    1. Xu, Bo & Li, Miao & Deng, Ruipu, 2015. "The evolution of cooperation in spatial prisoner’s dilemma games with heterogeneous relationships," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 424(C), pages 168-175.
    2. Huang, Shaoxu & Liu, Xuesong & Hu, Yuhan & Fu, Xiao, 2023. "The influence of aggressive behavior on cooperation evolution in social dilemma," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 630(C).
    3. He, Nanrong & Chen, Xiaojie & Szolnoki, Attila, 2019. "Central governance based on monitoring and reporting solves the collective-risk social dilemma," Applied Mathematics and Computation, Elsevier, vol. 347(C), pages 334-341.
    4. Erte Xiao & Howard Kunreuther, 2016. "Punishment and Cooperation in Stochastic Social Dilemmas," Journal of Conflict Resolution, Peace Science Society (International), vol. 60(4), pages 670-693, June.
    5. Wu, Yu’e & Zhang, Zhipeng & Chang, Shuhua, 2019. "Reciprocal reward promotes the evolution of cooperation in structured populations," Chaos, Solitons & Fractals, Elsevier, vol. 119(C), pages 230-236.
    6. Chen, Qin & Pan, Qiuhui & He, Mingfeng, 2022. "The influence of quasi-cooperative strategy on social dilemma evolution," Chaos, Solitons & Fractals, Elsevier, vol. 161(C).
    7. Wang, Qiang & He, Nanrong & Chen, Xiaojie, 2018. "Replicator dynamics for public goods game with resource allocation in large populations," Applied Mathematics and Computation, Elsevier, vol. 328(C), pages 162-170.
    8. Gao, Liyan & Pan, Qiuhui & He, Mingfeng, 2021. "Effects of defensive cooperation strategy on the evolution of cooperation in social dilemma," Applied Mathematics and Computation, Elsevier, vol. 399(C).
    9. Song, Qun & Cao, Zhaoheng & Tao, Rui & Jiang, Wei & Liu, Chen & Liu, Jinzhuo, 2020. "Conditional neutral punishment promotes cooperation in the spatial prisoner's dilemma game," Applied Mathematics and Computation, Elsevier, vol. 368(C).
    10. Dirk Helbing & Attila Szolnoki & Matjaž Perc & György Szabó, 2010. "Evolutionary Establishment of Moral and Double Moral Standards through Spatial Interactions," PLOS Computational Biology, Public Library of Science, vol. 6(4), pages 1-9, April.
    11. Li, Xiaopeng & Sun, Shiwen & Xia, Chengyi, 2019. "Reputation-based adaptive adjustment of link weight among individuals promotes the cooperation in spatial social dilemmas," Applied Mathematics and Computation, Elsevier, vol. 361(C), pages 810-820.
    12. Zhu, Wenqiang & Pan, Qiuhui & Song, Sha & He, Mingfeng, 2023. "Effects of exposure-based reward and punishment on the evolution of cooperation in prisoner’s dilemma game," Chaos, Solitons & Fractals, Elsevier, vol. 172(C).
    13. Christian Hilbe & Torsten Röhl & Manfred Milinski, 2014. "Extortion subdues human players but is finally punished in the prisoner’s dilemma," Nature Communications, Nature, vol. 5(1), pages 1-6, September.
    14. Gao, Hongyu & Wang, Juan & Zhang, Fan & Li, Xiaopeng & Xia, Chengyi, 2021. "Cooperation dynamics based on reputation in the mixed population with two species of strategists," Applied Mathematics and Computation, Elsevier, vol. 410(C).
    15. Su, Zhen & Li, Lixiang & Xiao, Jinghua & Podobnik, B. & Stanley, H. Eugene, 2018. "Promotion of cooperation induced by two-sided players in prisoner’s dilemma game," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 490(C), pages 584-590.
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