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Pool-rewarding in N-person snowdrift game

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  • Li, Kun
  • Mao, Yizhou
  • Wei, Zhenlin
  • Cong, Rui

Abstract

We extend the N-person snowdrift game (NSG) to incorporate the effects of pool rewarding. An individual who chooses to reward pays a certain cost to provide additional benefits to cooperative behaviors. Thus, rewarding can be considered as a second-order altruistic behavior. But rewarders are actually indirectly protected by defectors as system dynamics evolves. Both the well-mixed version of NSG and the spatial game have been investigated. For well-mixed population, increasing the synergy factor of rewarding r2 facilitates the formation of an oscillating state, while the increment of NSG synergy factor r1 promotes the transition from the stable closed orbit to a fixed state of the system. For structured population, dynamic diversity is dramatically enriched. Especially, the existence of rewarders makes “cooperation monopolization”(the domination of cooperators or rewarders) emerge under feasible parameters. Moreover, for small reward cost, the system dynamics can converge to the absorbing state of rewarding even when the r2 value is low. Larger reward cost, however, is not conducive to the prevalence of rewarding, but dramatically promotes second-order free-riding. Based on this study, we hope to provide guidance for the future research of positive incentives in NSG.

Suggested Citation

  • Li, Kun & Mao, Yizhou & Wei, Zhenlin & Cong, Rui, 2021. "Pool-rewarding in N-person snowdrift game," Chaos, Solitons & Fractals, Elsevier, vol. 143(C).
  • Handle: RePEc:eee:chsofr:v:143:y:2021:i:c:s0960077920309826
    DOI: 10.1016/j.chaos.2020.110591
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    as
    1. Falk, Armin & Fischbacher, Urs, 2006. "A theory of reciprocity," Games and Economic Behavior, Elsevier, vol. 54(2), pages 293-315, February.
    2. Yanling Zhang & Feng Fu, 2018. "Strategy intervention for the evolution of fairness," PLOS ONE, Public Library of Science, vol. 13(5), pages 1-13, May.
    3. Li, Jiaqi & Zhang, Chunyan & Sun, Qinglin & Chen, Zengqiang, 2015. "Coevolution between strategy and social networks structure promotes cooperation," Chaos, Solitons & Fractals, Elsevier, vol. 77(C), pages 253-263.
    4. Xiaofeng Wang & Xiaojie Chen & Long Wang, 2020. "Evolution of egalitarian social norm by resource management," PLOS ONE, Public Library of Science, vol. 15(1), pages 1-16, January.
    5. Rui Cong & Bin Wu & Yuanying Qiu & Long Wang, 2012. "Evolution of Cooperation Driven by Reputation-Based Migration," PLOS ONE, Public Library of Science, vol. 7(5), pages 1-7, May.
    6. Chan, Chun-Him & Yin, Haiping & Hui, P.M. & Zheng, Da-Fang, 2008. "Evolution of cooperation in well-mixed N-person snowdrift games," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 387(12), pages 2919-2925.
    7. 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.
    8. Chen, Wei & Wu, Te & Li, Zhiwu & Wang, Long, 2016. "Friendship-based partner switching promotes cooperation in heterogeneous populations," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 443(C), pages 192-199.
    9. Christoph Hauert & Michael Doebeli, 2004. "Spatial structure often inhibits the evolution of cooperation in the snowdrift game," Nature, Nature, vol. 428(6983), pages 643-646, April.
    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. Chen, Wei & Wu, Te & Li, Zhiwu & Wang, Long, 2017. "Randomly biased investments and the evolution of public goods on interdependent networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 479(C), pages 542-550.
    12. Ji, M. & Xu, C. & Zheng, Da-Fang & Hui, P.M., 2010. "Enhanced cooperation and harmonious population in an evolutionary N-person snowdrift game," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 389(5), pages 1071-1076.
    13. Xu, Meng & Zheng, Da-Fang & Xu, C. & Zhong, Lixin & Hui, P.M., 2015. "Cooperative behavior in N-person evolutionary snowdrift games with punishment," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 424(C), pages 322-329.
    14. Xiaojie Chen & Attila Szolnoki, 2018. "Punishment and inspection for governing the commons in a feedback-evolving game," PLOS Computational Biology, Public Library of Science, vol. 14(7), pages 1-15, July.
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