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Impact of strategy-neutral rewarding on the evolution of cooperative behavior

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  • Liu, Jinzhuo
  • Li, Tong
  • Wang, Wei
  • Zhao, Na
  • Hang, Feilu

Abstract

Social rewarding is a common but significant mechanism that promotes the evolution of cooperation. However, besides social rewarding, antisocial rewarding is also ordinary. Thus, we study the evolution of cooperation on prison dilemma game with strategy-neutral rewarding, namely a mechanism including social and antisocial rewarding. Two additional strategies, rewarding cooperators (RC) and rewarding defectors (RD), which establish union-like support to aid akin players are introduced. We show that the new mechanism greatly promotes the evolution of cooperation even in the presence of antisocial rewarding. The rewarding cooperators can enjoy both the benefits of their prosocial contributions and the corresponding rewards, thus they can form cooperative clusters to resist the aggression of defectors. On the other hand, due to their inherent greedy, rewarding defectors fail to secure a sustainable future. Our research might provide valuable insights into further exploring the nature of cooperation in the real world.

Suggested Citation

  • Liu, Jinzhuo & Li, Tong & Wang, Wei & Zhao, Na & Hang, Feilu, 2018. "Impact of strategy-neutral rewarding on the evolution of cooperative behavior," Chaos, Solitons & Fractals, Elsevier, vol. 106(C), pages 76-79.
    • Handle: RePEc:eee:chsofr:v:106:y:2018:i:c:p:76-79
    DOI: 10.1016/j.chaos.2017.11.001
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    References listed on IDEAS

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    1. Du, Wen-Bo & Cao, Xian-Bin & Zhao, Lin & Hu, Mao-Bin, 2009. "Evolutionary games on scale-free networks with a preferential selection mechanism," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 388(20), pages 4509-4514.
    2. Zhang, Gui-Qing & Sun, Qi-Bo & Wang, Lin, 2013. "Noise-induced enhancement of network reciprocity in social dilemmas," Chaos, Solitons & Fractals, Elsevier, vol. 51(C), pages 31-35.
    3. James Andreoni & William Harbaugh & Lise Vesterlund, 2003. "The Carrot or the Stick: Rewards, Punishments, and Cooperation," American Economic Review, American Economic Association, vol. 93(3), pages 893-902, June.
    4. Shen, Chen & Li, Xiaoping & Shi, Lei & Deng, Zhenghong, 2017. "Asymmetric evaluation promotes cooperation in network population," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 474(C), pages 391-397.
    5. Martin A. Nowak & Akira Sasaki & Christine Taylor & Drew Fudenberg, 2004. "Emergence of cooperation and evolutionary stability in finite populations," Nature, Nature, vol. 428(6983), pages 646-650, April.
    6. Szolnoki, Attila & Perc, Matjaž & Danku, Zsuzsa, 2008. "Towards effective payoffs in the prisoner’s dilemma game on scale-free networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 387(8), pages 2075-2082.
    7. Li, Xianghua & Wang, Zhen & Gao, Chao & Shi, Lei, 2017. "Reasoning human emotional responses from large-scale social and public media," Applied Mathematics and Computation, Elsevier, vol. 310(C), pages 182-193.
    8. Shen, Chen & Lu, Jun & Shi, Lei, 2016. "Does coevolution setup promote cooperation in spatial prisoner's dilemma game?," Applied Mathematics and Computation, Elsevier, vol. 290(C), pages 201-207.
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    Cited by:

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    2. Shilin Xiao & Liming Zhang & Haihong Li & Qionglin Dai & Junzhong Yang, 2022. "Environment-driven migration enhances cooperation in evolutionary public goods games," The European Physical Journal B: Condensed Matter and Complex Systems, Springer;EDP Sciences, vol. 95(4), pages 1-9, April.
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    6. Szolnoki, Attila & Chen, Xiaojie, 2022. "Tactical cooperation of defectors in a multi-stage public goods game," Chaos, Solitons & Fractals, Elsevier, vol. 155(C).

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