第十八届全国复杂网络学术会议——夏浩翔（大连理工大学系统工程教授）积累互惠促进合作演化
选择缘由：从复杂科学的视角分析博弈论并进行仿真模拟的研究方法对消费者行为研究有较好的可迁移性；对群体涌现出的特征进行分析有可能开拓出新的研究领域
目的：借助对本文献的逐步梳理，认识复杂科学进行博弈论研究的基本方法；寻找对个人未来研究可以借鉴的方向
Evolution of cooperation through cumulative reciprocity1
尚未获取论文TFT、GTFT、WSLS策略优缺点
无法识别噪音引起的非故意背叛行为
CURE入侵典型策略群体
CURE-ALLC-ALLD三策略群体演化动力学分析
包含CURE策略的异质群体中策略演化动力学
行为实验证据
复制动力学 零行列式策略（Zero-determinant strategy） (Press & Dyson, 2012)2
(Hilbe等, 2018)3
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Li, J., Zhao, X., Li, B., Rossetti, C. S. L., Hilbe, C., & Xia, H. (2022). Evolution of cooperation through cumulative reciprocity. Nature Computational Science, 2(10), Art. 10. https://doi.org/10.1038/s43588-022-00334-w ↩
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Press, W. H., & Dyson, F. J. (2012). Iterated Prisoner’s Dilemma contains strategies that dominate any evolutionary opponent. Proceedings of the National Academy of Sciences, 109(26), 10409–10413. https://doi.org/10.1073/pnas.1206569109 ↩
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Hilbe, C., Chatterjee, K., & Nowak, M. A. (2018). Partners and rivals in direct reciprocity. Nature Human Behaviour, 2(7), 469–477. https://doi.org/10.1038/s41562-018-0320-9 ↩