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Climate change induced migration and the evolution of cooperation

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  • Dhakal, Sandeep
  • Chiong, Raymond
  • Chica, Manuel
  • Middleton, Richard H.

Abstract

We study the impact of climate change induced migration on the evolution of cooperation using an N-player social dilemma game. Players in the population are divided into non-overlapped groups, and they can choose to either cooperate or defect within their group. At the same time, the players are mapped to the nodes of a scale-free network, enabling them to learn from the actions of players from other groups. Every player is allowed to migrate between groups, and their migration decisions are governed by the risk from climate change at the current group, as well as their ability to adapt. We introduce a cooperation threshold to ensure that a minimum percentage of players cooperate before any benefit can be achieved within a group. Comprehensive simulation experiments show that migration has a positive impact on the level of cooperation, and the cooperative behaviour observed is proportional to the threshold level. This study contributes by being one of the first to study climate change induced migration using evolutionary game theory. Our findings also contribute to the understanding of the impact of cooperation thresholds in promoting cooperative behaviour in multi-player social dilemma games, where players are allowed to migrate.

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  • Dhakal, Sandeep & Chiong, Raymond & Chica, Manuel & Middleton, Richard H., 2020. "Climate change induced migration and the evolution of cooperation," Applied Mathematics and Computation, Elsevier, vol. 377(C).
    • Handle: RePEc:eee:apmaco:v:377:y:2020:i:c:s009630032030059x
    DOI: 10.1016/j.amc.2020.125090
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    References listed on IDEAS

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    1. Szolnoki, Attila & Perc, Matjaž & Danku, Zsuzsa, 2008. "Towards effective payoffs in the prisoner’s dilemma game on scale-free networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 387(8), pages 2075-2082.
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    6. Chen, Ya-Shan & Yang, Han-Xin & Guo, Wen-Zhong, 2016. "Promotion of cooperation by payoff-driven migration," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 450(C), pages 506-514.
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    Cited by:

    1. Shi, Zhenyu & Wei, Wei & Perc, Matjaž & Li, Baifeng & Zheng, Zhiming, 2022. "Coupling group selection and network reciprocity in social dilemmas through multilayer networks," Applied Mathematics and Computation, Elsevier, vol. 418(C).
    2. Shilin Xiao & Liming Zhang & Haihong Li & Qionglin Dai & Junzhong Yang, 2022. "Environment-driven migration enhances cooperation in evolutionary public goods games," The European Physical Journal B: Condensed Matter and Complex Systems, Springer;EDP Sciences, vol. 95(4), pages 1-9, April.
    3. Li, Wen-Jing & Chen, Zhi & Jin, Ke-Zhong & Wang, Jun & Yuan, Lin & Gu, Changgui & Jiang, Luo-Luo & Perc, Matjaž, 2022. "Options for mobility and network reciprocity to jointly yield robust cooperation in social dilemmas," Applied Mathematics and Computation, Elsevier, vol. 435(C).
    4. Jiang, Luo-Luo & Gao, Jian & Chen, Zhi & Li, Wen-Jing & Kurths, Jürgen, 2021. "Reducing the bystander effect via decreasing group size to solve the collective-risk social dilemma," Applied Mathematics and Computation, Elsevier, vol. 410(C).
    5. Yang, Yixin & Pan, Qiuhui & He, Mingfeng, 2023. "The influence of environment-based autonomous mobility on the evolution of cooperation," Chaos, Solitons & Fractals, Elsevier, vol. 169(C).

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