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How costly altruism survives? The rescue of both cooperation and voluntary sharing

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  • Wang, Jianwei
  • Yu, Fengyuan
  • Zhao, Jingyi
  • Li, Fanfeng
  • He, Jialu

Abstract

Living in the environment full of competition and risk, individuals are supposed to pursue private interests. Defectors avoid the cost of cooperation and usually earn more. So defection seems to prevail in the population under natural selection. However, the costly cooperation abounds both in biological systems and human society, which attracts the interest of scholars in many fields. Income sharing is a simple and effective means of promoting cooperation. But most sharing mechanisms at present highly rely on enforcement. Sharing is always costly for the sharers, as same as cooperating. So voluntary sharing hardly survives without a reasonable evolution mechanism. In this work, we studied the coevolution of sharing and cooperation and found the failure of traditional sharing mechanisms on maintaining voluntary sharing. To rescue the voluntary sharing and cooperation, we proposed a fresh form of sharing mechanism, Temporary Interest Community (TIC) mechanism. According to our simulations, TIC mechanism successful rescues both voluntary sharing and cooperation to some extent, but it never eliminates the defection completely. Sharing is conductive to cooperation, while the development of cooperation inhibits sharing among population instead. In addition, we have also observed that sharing in a visionary population is more frequent and stable. So strengthening the memory of the group may stimulate more cooperation.

Suggested Citation

  • Wang, Jianwei & Yu, Fengyuan & Zhao, Jingyi & Li, Fanfeng & He, Jialu, 2021. "How costly altruism survives? The rescue of both cooperation and voluntary sharing," Chaos, Solitons & Fractals, Elsevier, vol. 143(C).
  • Handle: RePEc:eee:chsofr:v:143:y:2021:i:c:s0960077920309930
    DOI: 10.1016/j.chaos.2020.110602
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    Cited by:

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    2. Wang, Jianwei & Xu, Wenshu & Chen, Wei & Yu, Fengyuan & He, Jialu, 2021. "Information sharing can suppress the spread of epidemics: Voluntary vaccination game on two-layer networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 583(C).
    3. Wang, Jianjun & Liu, Fang & Li, Li & Zhang, Jian, 2022. "More than innovativeness: Comparing residents’ motivations for participating renewable energy communities in different innovation segments," Renewable Energy, Elsevier, vol. 197(C), pages 552-563.
    4. Wang, Jianwei & Xu, Wenshu & Zhang, Xingjian & Zhao, Nianxuan & Yu, Fengyuan, 2023. "Redistribution based on willingness to cooperate promotes cooperation while intensifying equality in heterogeneous populations," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 610(C).
    5. Wang, Jianwei & Chen, Wei & Yu, Fengyuan & Zhou, Siyuan & He, Jialu & Xu, Wenshu & Dai, Wenhui, 2024. "The emergence of cooperation in the context of prior agreement with threshold and posterior compensation," Applied Mathematics and Computation, Elsevier, vol. 474(C).
    6. Wang, Jianwei & Xu, Wenshu & Chen, Wei & Yu, Fengyuan & He, Jialu, 2021. "Inter-group selection of strategy promotes cooperation in public goods game," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 583(C).
    7. Wang, Jianwei & He, Jialu & Yu, Fengyuan, 2021. "Heterogeneity of reputation increment driven by individual influence promotes cooperation in spatial social dilemma," Chaos, Solitons & Fractals, Elsevier, vol. 146(C).

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