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A moderate self-interest preference promotes cooperation in spatial public goods game

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  • Jia, Chun-Xiao
  • Liu, Run-Ran

Abstract

In real society, the defective individuals seek to exploit the cooperators for maximizing self interests, and cooperators may also protect themselves against losses by sound investment strategies. In this study, the effects of investment-allocation scheme on the evolutionary cooperation of spatial public goods game is explored by an introduced parameter α controlling the fractions of investment operated by the investors themselves. That is to say, each player has a degree of self-interest preference and invests a fraction α of resource into the group centered by herself/himself, then the remaining fraction 1−α is allocated into the groups centered by nearest neighbors equally. For low enhancement levels, the cooperation level can be best promoted by a moderate value of α, and too large or too low values of α are not good for the persistence of cooperation. For high enhancement levels, the self-interest preference hinder the persistence of cooperation and the cooperation level reduces monotonously as α increases. Our results prove that the optimal investment-allocation scheme for the persistence of cooperation may vary with the enhancement level, which supplies a new perspective for understanding the emergence of cooperation or cooperation promotion in egoistical individuals.

Suggested Citation

  • Jia, Chun-Xiao & Liu, Run-Ran, 2022. "A moderate self-interest preference promotes cooperation in spatial public goods game," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 589(C).
    • Handle: RePEc:eee:phsmap:v:589:y:2022:i:c:s0378437121008906
    DOI: 10.1016/j.physa.2021.126649
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    References listed on IDEAS

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    1. Duh, Maja & Gosak, Marko & Perc, Matjaž, 2021. "Public goods games on random hyperbolic graphs with mixing," Chaos, Solitons & Fractals, Elsevier, vol. 144(C).
    2. Zheng, Junjun & Ren, Tianyu & Ma, Gang & Dong, Jinhui, 2021. "The emergence and implementation of pool exclusion in spatial public goods game with heterogeneous ability-to-pay," Applied Mathematics and Computation, Elsevier, vol. 394(C).
    3. A. Szolnoki & M. Perc & G. Szabó, 2008. "Diversity of reproduction rate supports cooperation in the prisoner's dilemma game on complex networks," The European Physical Journal B: Condensed Matter and Complex Systems, Springer;EDP Sciences, vol. 61(4), pages 505-509, February.
    4. Huang, Keke & Liu, Yishun & Zhang, Yichi & Yang, Chunhua & Wang, Zhen, 2018. "Understanding cooperative behavior of agents with heterogeneous perceptions in dynamic networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 509(C), pages 234-240.
    5. Liu, Run-Ran & Jia, Chun-Xiao & Rong, Zhihai, 2019. "Effects of enhancement level on evolutionary public goods game with payoff aspirations," Applied Mathematics and Computation, Elsevier, vol. 350(C), pages 242-248.
    6. Yang, Han-Xin & Yang, Jing, 2019. "Reputation-based investment strategy promotes cooperation in public goods games," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 523(C), pages 886-893.
    7. Lee, Hsuan-Wei & Cleveland, Colin & Szolnoki, Attila, 2021. "Small fraction of selective cooperators can elevate general wellbeing significantly," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 582(C).
    8. Higor Y. D. Sigaki & Matjaz Perc & Haroldo V. Ribeiro, 2019. "Clustering patterns in efficiency and the coming-of-age of the cryptocurrency market," Papers 1901.04967, arXiv.org.
    9. Wang, Le & Chen, Tong & Wu, Zhenghong, 2021. "Promoting cooperation by reputation scoring mechanism based on historical donations in public goods game," Applied Mathematics and Computation, Elsevier, vol. 390(C).
    10. Wang, Hanchen & Sun, Yichun & Zheng, Lei & Du, Wenbo & Li, Yumeng, 2018. "The public goods game on scale-free networks with heterogeneous investment," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 509(C), pages 396-404.
    11. Wang, Qun & Wang, Hanchen & Zhang, Zhuxi & Li, Yumeng & Liu, Yu & Perc, Matjaž, 2018. "Heterogeneous investments promote cooperation in evolutionary public goods games," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 502(C), pages 570-575.
    12. Li, Yumeng & Wang, Hanchen & Du, Wenbo & Perc, Matjaž & Cao, Xianbin & Zhang, Jun, 2019. "Resonance-like cooperation due to transaction costs in the prisoner’s dilemma game," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 521(C), pages 248-257.
    13. Szolnoki, Attila & Chen, Xiaojie, 2020. "Blocking defector invasion by focusing on the most successful partner," Applied Mathematics and Computation, Elsevier, vol. 385(C).
    14. Johan J Bolhuis & Gillian R Brown & Robert C Richardson & Kevin N Laland, 2011. "Darwin in Mind: New Opportunities for Evolutionary Psychology," Working Papers id:4376, eSocialSciences.
    15. Wang, Mengyao & Pan, Qiuhui & He, Mingfeng, 2020. "The interplay of behaviors and attitudes in public goods game considering environmental investment," Applied Mathematics and Computation, Elsevier, vol. 382(C).
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