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The disconnection-reconnection-elite mechanism enhances cooperation of evolutionary game on lattice

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  • Chen, Jialin
  • Liu, Xingwen
  • Wang, Huazhang
  • Yang, Jun

Abstract

How cooperative behavior evolves is the primary research topic in evolutionary game theory. In recent years, a growing number of researchers have been investigating mechanisms that enhance cooperation behavior. In the present paper, we propose a disconnection-reconnection-elite mechanism for prisoner’s dilemma, snowdrift game, and stag-hunt game models on spatial lattice networks. The core of the mechanism lies in: player i decides whether to keep or delete its neighbors from the set of interactive neighbors by comparing its payoff with those of its neighbors; and if there is no more neighbor in player i’s interactive neighbor set, the neighbor with the highest payoff in player i’s potential neighbor set is chosen and added to the interactive neighbor set. The proposed mechanism can significantly promote cooperation in the three games mentioned above. In addition, increasing population stochasticity significantly promotes cooperative evolution in prisoner’s dilemma and snowdrift game.

Suggested Citation

  • Chen, Jialin & Liu, Xingwen & Wang, Huazhang & Yang, Jun, 2022. "The disconnection-reconnection-elite mechanism enhances cooperation of evolutionary game on lattice," Chaos, Solitons & Fractals, Elsevier, vol. 157(C).
    • Handle: RePEc:eee:chsofr:v:157:y:2022:i:c:s0960077922001084
    DOI: 10.1016/j.chaos.2022.111897
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    References listed on IDEAS

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    2. Lu, Shounan & Wang, Yang, 2025. "Past-performance-driven strategy updating promote cooperation in the spatial prisoner's dilemma game," Applied Mathematics and Computation, Elsevier, vol. 491(C).
    3. Tian, Yue & Gao, Shun & Li, Haihong & Dai, Qionglin & Yang, Junzhong, 2024. "Particle swarm intelligence promotes cooperation by adapting interaction radii in co-evolutionary games," Applied Mathematics and Computation, Elsevier, vol. 474(C).
    4. Liu, Yaojun & Liu, Xingwen & Han, Xin & Xie, Kai, 2025. "Co-evolution mechanism in networked snowdrift game with large connection range," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 675(C).
    5. Zu, Jinjing & Xu, Fanxin & Jin, Tao & Xiang, Wei, 2022. "Reward and Punishment Mechanism with weighting enhances cooperation in evolutionary games," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 607(C).
    6. Liu, Yaojun & Liu, Xingwen, 2024. "Promotion of cooperation in evolutionary snowdrift game with heterogeneous memories," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 633(C).
    7. Gao, Liyan & Pan, Qiuhui & He, Mingfeng, 2023. "Impact of peer pressure on the evolution of cooperation in prisoner’s dilemma game," Chaos, Solitons & Fractals, Elsevier, vol. 174(C).

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