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Promoting effect of adaptive interaction based on random neighbors to cooperation in the spatial prisoner's dilemma game

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  • Lu, Shounan
  • Zhu, Ge
  • Dai, Jianhua

Abstract

Interaction is an important step in cooperation evolution, and non-deterministic interactions are common in complex and changeable environments. Therefore, the number of interactive neighbors reflects the individual's response to the environment. Inspired by this, this study introduces an adaptively adjusted number of interactions based on random neighbors into a spatial prisoner's dilemma game, in which individuals adaptively adjust the number of interactive neighbors based on the satisfaction of returns. It is noteworthy that the interactive neighbors are randomly selected corresponding to the practical phenomenon that our friends will change over time, thereby resulting in un-fixed friends. As shown by numerous simulations, adaptively adjusting the number of interactive neighbors based on random neighbors can significantly enhance cooperation, and it performs better in strengthening cooperation than traditional deterministic interactions. Apart from that, cooperation can be promoted by an appropriate interactive neighborhood. Overall, this study is expected to help inspire more research on addressing social dilemmas.

Suggested Citation

  • Lu, Shounan & Zhu, Ge & Dai, Jianhua, 2023. "Promoting effect of adaptive interaction based on random neighbors to cooperation in the spatial prisoner's dilemma game," Applied Mathematics and Computation, Elsevier, vol. 450(C).
  • Handle: RePEc:eee:apmaco:v:450:y:2023:i:c:s0096300323001297
    DOI: 10.1016/j.amc.2023.127960
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    References listed on IDEAS

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    1. Hu, Xiang & Liu, Xingwen, 2021. "Unfixed-neighbor-mechanism promotes cooperation in evolutionary snowdrift game on lattice," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 572(C).
    2. Li, Zhi & Gao, Jia & Suh, Il Hong & Wang, Long, 2013. "Evolution of cooperation in lattice population with adaptive interaction intensity," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 392(9), pages 2046-2051.
    3. Liu, Chen & Shi, Juan & Li, Tong & Liu, Jinzhuo, 2019. "Aspiration driven coevolution resolves social dilemmas in networks," Applied Mathematics and Computation, Elsevier, vol. 342(C), pages 247-254.
    4. Han, Xu & Zhao, Xiaowei & Xia, Haoxiang, 2021. "Evolution of cooperation through aspiration-based adjustment of interaction range in spatial prisoner’s dilemma game," Applied Mathematics and Computation, Elsevier, vol. 393(C).
    5. Christoph Hauert & Michael Doebeli, 2004. "Spatial structure often inhibits the evolution of cooperation in the snowdrift game," Nature, Nature, vol. 428(6983), pages 643-646, April.
    6. Tanimoto, Jun, 2013. "Coevolutionary, coexisting learning and teaching agents model for prisoner’s dilemma games enhancing cooperation with assortative heterogeneous networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 392(13), pages 2955-2964.
    7. Wang, Qiuling & Jia, Danyang, 2019. "Expectation driven by update willingness promotes cooperation in the spatial prisoner's dilemma game," Applied Mathematics and Computation, Elsevier, vol. 352(C), pages 174-179.
    8. Song, Qun & Cao, Zhaoheng & Tao, Rui & Jiang, Wei & Liu, Chen & Liu, Jinzhuo, 2020. "Conditional neutral punishment promotes cooperation in the spatial prisoner's dilemma game," Applied Mathematics and Computation, Elsevier, vol. 368(C).
    9. 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.
    10. Shu, Gang & Du, Xia & Li, Ya, 2016. "Surrounding information consideration promotes cooperation in Prisoner’s dilemma game," Chaos, Solitons & Fractals, Elsevier, vol. 91(C), pages 689-694.
    11. Li, Xiaopeng & Sun, Shiwen & Xia, Chengyi, 2019. "Reputation-based adaptive adjustment of link weight among individuals promotes the cooperation in spatial social dilemmas," Applied Mathematics and Computation, Elsevier, vol. 361(C), pages 810-820.
    12. 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.
    13. Deng, Zheng-Hong & Wang, Zi-Ren & Wang, Huan-Bo & Xu, Lin, 2021. "The evolution of cooperation in multi-games with popularity-driven fitness calculation," Chaos, Solitons & Fractals, Elsevier, vol. 151(C).
    14. Sun, Chengbin & Luo, Chao, 2020. "Co-evolution of influence-based preferential selection and limited resource with multi-games on interdependent networks," Applied Mathematics and Computation, Elsevier, vol. 374(C).
    15. Chu, Chen & Liu, Jinzhuo & Shen, Chen & Jin, Jiahua & Tang, Yunxuan & Shi, Lei, 2017. "Coevolution of game strategy and link weight promotes cooperation in structured population," Chaos, Solitons & Fractals, Elsevier, vol. 104(C), pages 28-32.
    16. Zhang, Liming & Li, Haihong & Dai, Qionglin & Yang, Junzhong, 2022. "Adaptive persistence based on environment comparison enhances cooperation in evolutionary games," Applied Mathematics and Computation, Elsevier, vol. 421(C).
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