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The role of alliance cooperation in spatial public goods game

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  • Wang, Mie
  • Kang, HongWei
  • Shen, Yong
  • Sun, XingPing
  • Chen, QingYi

Abstract

Assistance and aiding partners exploited by defectors could be essential to avoid being exploited and expanding the payoff. The research on of human behaviors has suggested that organizations and alliances play an important role in promoting cooperation between humans. Therefore, this article studies the evolution of cooperation in spatial public goods games with alliance strategy on square lattice network where, in addition to the classical strategies of cooperation (C) and defection (D), alliance cooperators (A) are considered as an additional strategy. Alliance players will provide a portion of their payoff to aid their allies in the same group, who have been exploited by defectors. Apparently, alliance players demonstrate a remarkable ability sweep out defectors through network reciprocity. However, by analyzing the parameters, as influenced by cooperators, the cooperation level is a non-monotonic function of aid intensity and synergy factor. The results presented in this article can help to understand the role of alliance strategies, organizations, and taxes in promoting and maintaining cooperation in human society.

Suggested Citation

  • Wang, Mie & Kang, HongWei & Shen, Yong & Sun, XingPing & Chen, QingYi, 2021. "The role of alliance cooperation in spatial public goods game," Chaos, Solitons & Fractals, Elsevier, vol. 152(C).
  • Handle: RePEc:eee:chsofr:v:152:y:2021:i:c:s0960077921007499
    DOI: 10.1016/j.chaos.2021.111395
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    4. Han, Zhen & Zhu, Peican & Yang, Jinling & Yang, Jie, 2023. "Asymmetric players in Prisons Dilemma Game," Chaos, Solitons & Fractals, Elsevier, vol. 174(C).
    5. Wang, Chaoqian & Lin, Zongzhe & Rothman, Dale S., 2022. "Public goods game on coevolving networks driven by the similarity and difference of payoff," Chaos, Solitons & Fractals, Elsevier, vol. 162(C).
    6. Gao, Bo & Hong, Jie & Guo, Hao & Dong, Suyalatu & Lan, Zhong-Zhou, 2023. "Cooperative evolution and symmetry breaking in interdependent networks based on alliance mechanisms," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 609(C).
    7. Shen, Yong & Lei, Wei & Kang, Hongwei & Li, Mingyuan & Sun, Xingping & Chen, Qingyi, 2023. "Evolutionary dynamics of public goods game with tax-based rewarding cooperators," Chaos, Solitons & Fractals, Elsevier, vol. 175(P1).
    8. Li, MingYuan & Kang, HongWei & Sun, XingPing & Shen, Yong & Chen, QingYi, 2022. "Replicator dynamics of public goods game with tax-based punishment," Chaos, Solitons & Fractals, Elsevier, vol. 164(C).
    9. Szolnoki, Attila & Perc, Matjaž, 2023. "Oppressed species can form a winning pair in a multi-species ecosystem," Applied Mathematics and Computation, Elsevier, vol. 438(C).
    10. Sun, Qipeng & Liu, Hang & Wang, Yongjie & Li, Qiong & Chen, Wenqiang & Bai, Pengxia & Xue, Chenlei, 2022. "Cooperation in the jaywalking dilemma of a road public good due to points guidance," Chaos, Solitons & Fractals, Elsevier, vol. 160(C).
    11. Zhang, Hong, 2023. "Evolution of cooperation with tag-based expulsion in spatial public goods game," Chaos, Solitons & Fractals, Elsevier, vol. 174(C).

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