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Heuristics guide cooperative behaviors in public goods game

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  • Wang, Yongjie
  • Chen, Tong

Abstract

In public goods game (PGG), player’s cooperative behavior is not pure economical rationality, but social preference and prosocial intuition play extremely important roles as well. Social preference and prosocial intuition can be guided by heuristics from one’s neighbors in daily life. To better investigate the impacts of heuristics on the evolution of cooperation, four types of agents are introduced into our spatial PGG. Through numerical simulations, results show that the larger percentages of cooperators with independent thought, the easier emergence and maintenance of collective cooperative behaviors. Additionally, we find that differentia heuristic capability has great effect on the equilibrium of PGG. Cooperation can be obviously promoted, when heuristic capability of cooperators with independent thought is stronger than that of defectors with independent thought. Finally, we observe that cooperators with independent thought and defectors with independent thought are favorable for the formation of some high quality clusters, which can resist the invasion between each other. Our work may help us understand more clearly the mechanism of cooperation in real world.

Suggested Citation

  • Wang, Yongjie & Chen, Tong, 2015. "Heuristics guide cooperative behaviors in public goods game," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 439(C), pages 59-65.
    • Handle: RePEc:eee:phsmap:v:439:y:2015:i:c:p:59-65
    DOI: 10.1016/j.physa.2015.07.031
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    3. Wang, Le & Chen, Tong & You, Xinshang & Wang, Yongjie, 2018. "The effect of wealth-based anti-expectation behaviors on public cooperation," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 493(C), pages 84-93.
    4. Quan, Ji & Yang, Xiukang & Wang, Xianjia, 2018. "Spatial public goods game with continuous contributions based on Particle Swarm Optimization learning and the evolution of cooperation," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 505(C), pages 973-983.
    5. Chen, Qiao & Chen, Tong & Wang, Yongjie, 2016. "How the expanded crowd-funding mechanism of some southern rural areas in China affects cooperative behaviors in threshold public goods game," Chaos, Solitons & Fractals, Elsevier, vol. 91(C), pages 649-655.
    6. Yang, Ran & Chen, Tong & Chen, Qiao, 2018. "The impact of lotteries on cooperation in the public goods game," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 512(C), pages 925-934.
    7. Zhang, Zaisheng & Song, Fang & Song, Zongbin, 2020. "Promoting knowledge sharing in the workplace: Punishment v. reward," Chaos, Solitons & Fractals, Elsevier, vol. 131(C).
    8. Chen, Qiao & Chen, Tong & Wang, Yongjie, 2017. "Publishing the donation list incompletely promotes the emergence of cooperation in public goods game," Applied Mathematics and Computation, Elsevier, vol. 310(C), pages 48-56.
    9. Wang, Yongjie & Yao, Zhouzhou & Wang, Chao & Ren, Jiale & Chen, Qiao, 2020. "The impact of intelligent transportation points system based on Elo rating on emergence of cooperation at Y intersection," Applied Mathematics and Computation, Elsevier, vol. 370(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. Chen, Qiao & Chen, Tong & Wang, Yongjie, 2019. "Cleverly handling the donation information can promote cooperation in public goods game," Applied Mathematics and Computation, Elsevier, vol. 346(C), pages 363-373.

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