Evolution of cooperation in public goods games with dynamic resource allocation: A fairness preference perspective

被引:4
作者
Huang, Yongchao [1 ]
Ren, Tianyu [2 ]
Zheng, Junjun [3 ]
Liu, Wenyi [3 ]
Zhang, Mengshu [4 ]
机构
[1] Wuhan Univ, Dong Fureng Inst Econ & Social Dev, Wuhan 430072, Peoples R China
[2] Univ Manchester, Sch Comp Sci, Manchester M13 9PL, England
[3] Wuhan Univ, Sch Econ & Management, Wuhan 430072, Peoples R China
[4] Hong Kong Univ Sci & Technol Guangzhou, Thrust Innovat Policy & Entrepreneurship, Guangzhou 511458, Peoples R China
基金
中国国家自然科学基金;
关键词
Spatial public goods game; Heterogeneous investment willingness; Fairness preference; Dynamic payoff allocation; REPLICATOR DYNAMICS; PRISONERS-DILEMMA;
D O I
10.1016/j.amc.2023.127844
中图分类号
O29 [应用数学];
学科分类号
070104 ;
摘要
Exploring the conditions under which cooperation can emerge in populations has long been a subject for humans. Fair preference psychology has been incorporated into the an-alytical framework of the public goods game. Based on considering the dynamic update of trust-driven investment willingness, we introduce a dynamic payoff allocation mechanism and loners to traditional PGG, explaining how the mechanism related to fairness prefer-ences promotes cooperation. We assume that payoffs are equally allocated among players when the payoffs do not exceed the threshold. Otherwise, the excess portion is propor-tionally allocated according to the investment willingness of cooperators. The effects of parameter changes on the evolution of cooperation are investigated by conducting Monte Carlo simulations. The results show that introducing dynamic payoff allocation and lon-ers can effectively promote cooperation in a specific range of parameters. Specifically, the existence of loners is a double-edged sword. Loners can prevent players from adopting defection behaviors on a large scale when the payoff of cooperation is unsatisfied and in-hibit the emergence and diffusion of cooperative strategies as the payoff of cooperators increases. When the payoff of cooperation is dissatisfactory, the dynamic payoff allocation mechanism can promote the average investment willingness of cooperators to accelerate the spread of cooperation. However, the payoff reallocation coefficient should not be set too high, and a high-level threshold of payoff reallocation may lead to the failure of the dynamic payoff allocation mechanism. There is an optimal payoff reallocation coefficient to maximize the efficiency of the proposed mechanism. Moreover, the optimal payoff re-allocation coefficient that can maximize the cooperation level is distinct for the diverse combination of enhancement factor and loss aversion coefficient. However, its value should be set at a low level in general. These results may help researchers better understand the evolution of cooperation in public goods games with dynamic resource allocation from a fairness preference perspective.(c) 2023 Elsevier Inc. All rights reserved.
引用
收藏
页数:15
相关论文
共 42 条
  • [31] How to increase and sustain cooperation in public goods games: Conditional commitments via a mediator
    Gurdal, Mehmet Y.
    Gurerk, Ozgur
    Kacamak, Yeliz
    Kart, Edip
    JOURNAL OF ECONOMIC BEHAVIOR & ORGANIZATION, 2024, 228
  • [32] The evolution of cooperation in public goods games on the scale-free community network under multiple strategy-updating rules
    Zhang, Mingzhen
    Yang, Naiding
    Zhu, Xianglin
    Wang, Yan
    PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS, 2022, 608
  • [33] Co-evolution of cooperation and extortion with resource allocation in spatial multigame
    Sun, Chengbin
    Wang, Chaoqian
    Xia, Haoxiang
    APPLIED MATHEMATICS AND COMPUTATION, 2024, 476
  • [34] Particle swarm intelligence and the evolution of cooperation in the spatial public goods game with punishment
    Lv, Shaojie
    Song, Feifei
    APPLIED MATHEMATICS AND COMPUTATION, 2022, 412
  • [35] Evolution of cooperation driven by individual disguise in the public goods game with pool punishment
    Wang, Qiang
    Chen, Xiaojie
    SECOND INTERNATIONAL CONFERENCE ON PHYSICS, MATHEMATICS AND STATISTICS, 2019, 1324
  • [36] The evolution of anti-social rewarding and its countermeasures in public goods games
    dos Santos, Miguel
    PROCEEDINGS OF THE ROYAL SOCIETY B-BIOLOGICAL SCIENCES, 2015, 282 (1798)
  • [37] Research of Cooperation in Public Goods Game Based on Dynamic Network Topology Structure
    Wang, Xiulong
    Ma, Yinghong
    Du, Pengfei
    PERVASIVE COMPUTING AND THE NETWORKED WORLD, 2014, 8351 : 655 - 665
  • [38] The impact of memory reputation-induced tax and reward allocation on spatial public goods games
    Sun, Xingping
    Zhu, Haoran
    Kang, Hongwei
    Bi, Yanzheng
    Shen, Yong
    Chen, Qingyi
    CHAOS SOLITONS & FRACTALS, 2025, 195
  • [39] Particle swarm optimization with historical return decay enhances cooperation in public goods games with investment risks
    Kang, Hongwei
    Li, Xin
    Shen, Yong
    Sun, Xingping
    Chen, Qingyi
    CHAOS SOLITONS & FRACTALS, 2024, 189
  • [40] Reputation-based Conditional Investment Enhances the Evolution of Cooperation in Spatial Public Goods Game
    Ding, Hong
    Cao, Lin
    Qiu, Hongjun
    Zhou, Zhangbing
    Shu, Lei
    Ren, Yizhi
    2015 INTERNATIONAL CONFERENCE ON IDENTIFICATION, INFORMATION, AND KNOWLEDGE IN THE INTERNET OF THINGS (IIKI), 2015, : 90 - 93