Effects of dynamic-Win-Stay-Lose-Learn model with voluntary participation in social dilemma
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DOI: 10.1016/j.chaos.2021.111269
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Cited by:
- 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).
- Chen, Qin & Pan, Qiuhui & He, Mingfeng, 2022. "The influence of quasi-cooperative strategy on social dilemma evolution," Chaos, Solitons & Fractals, Elsevier, vol. 161(C).
- Zhu, Wenqiang & Pan, Qiuhui & Song, Sha & He, Mingfeng, 2023. "Effects of exposure-based reward and punishment on the evolution of cooperation in prisoner’s dilemma game," Chaos, Solitons & Fractals, Elsevier, vol. 172(C).
- Shi, Zhenyu & Wei, Wei & Zheng, Hongwei & Zheng, Zhiming, 2023. "Bidirectional supervision: An effective method to suppress corruption and defection under the third party punishment mechanism of donation games," Applied Mathematics and Computation, Elsevier, vol. 450(C).
- Hu, Po & Ma, Hongbin & Yang, Xiaoguang & Mu, Yifen, 2024. "Pareto efficiency of infinite-horizon cooperative stochastic differential games with Markov jumps and Poisson jumps," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 225(C), pages 480-494.
- Yang, Qianxi & Yang, Yanlong, 2024. "A social monitoring mechanism for third-party judges promotes cooperation in evolutionary games," Applied Mathematics and Computation, Elsevier, vol. 483(C).
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Keywords
Prisoner’s dilemma game; Dynamic aspiration; Cooperation; Spatial evolutionary game;All these keywords.
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