Complex interactions promote the frequency of cooperation in snowdrift game
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DOI: 10.1016/j.physa.2022.128386
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Cited by:
- Ding, Zhen-Wei & Zhang, Ji-Qiang & Zheng, Guo-Zhong & Cai, Wei-Ran & Cai, Chao-Ran & Chen, Li & Wang, Xu-Ming, 2024. "Emergence of anti-coordinated patterns in snowdrift game by reinforcement learning," Chaos, Solitons & Fractals, Elsevier, vol. 184(C).
- Feng, Minyu & Han, Songlin & Li, Qin & Wu, Juan & Kurths, Jürgen, 2023. "Harmful strong agents and asymmetric interaction can promote the frequency of cooperation in the snowdrift game," Chaos, Solitons & Fractals, Elsevier, vol. 175(P2).
- Zhang, Qianwei & Tang, Rui & Lu, Yilun & Wang, Xinyu, 2024. "The impact of anxiety on cooperative behavior: A network evolutionary game theory approach," Applied Mathematics and Computation, Elsevier, vol. 474(C).
- Wang, Xianjia & Yang, Zhipeng & Liu, Yanli & Chen, Guici, 2023. "A reinforcement learning-based strategy updating model for the cooperative evolution," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 618(C).
- He, Jialu & Cui, Lei, 2024. "The persistence-based game transition resolves the social dilemma," Applied Mathematics and Computation, Elsevier, vol. 477(C).
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Keywords
Evolutionary game theory; Snowdrift game; Complex interactions; Cooperation cluster;All these keywords.
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