Evolutionary instability of zero-determinant strategies demonstrates that winning is not everything
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- Lin, Desheng & Sun, Panfei, 2026. "The evolution of zero-determinant strategies in public goods game," Chaos, Solitons & Fractals, Elsevier, vol. 207(C).
- Wang, JunFang & Guo, JinLi, 2019. "A synergy of punishment and extortion in cooperation dilemmas driven by the leader," Chaos, Solitons & Fractals, Elsevier, vol. 119(C), pages 263-268.
- Masahiko Ueda & Toshiyuki Tanaka, 2020. "Linear algebraic structure of zero-determinant strategies in repeated games," PLOS ONE, Public Library of Science, vol. 15(4), pages 1-13, April.
- Christopher Lee & Marc Harper & Dashiell Fryer, 2015. "The Art of War: Beyond Memory-one Strategies in Population Games," PLOS ONE, Public Library of Science, vol. 10(3), pages 1-16, March.
- Nikos Dimou & Alex McAvoy, 2025. "Expectation-enforcing strategies for repeated games," Papers 2511.19828, arXiv.org, revised Sep 2026.
- Yali Dong & Cong Li & Yi Tao & Boyu Zhang, 2015. "Evolution of Conformity in Social Dilemmas," PLOS ONE, Public Library of Science, vol. 10(9), pages 1-12, September.
- Christopher Graser & Takako Fujiwara-Greve & Julián García & Matthijs van Veelen, 2025.
"Repeated games with partner choice,"
PLOS Computational Biology, Public Library of Science, vol. 21(2), pages 1-19, February.
- Christopher Graser & Takako Fujiwara-Greve & Julian GarcÃa & Matthijs van Veelen, 2024. "Repeated games with partner choice," Tinbergen Institute Discussion Papers 24-038/I, Tinbergen Institute.
- Nikoleta E. Glynatsi & Vincent A. Knight, 2021. "A bibliometric study of research topics, collaboration, and centrality in the iterated prisoner’s dilemma," Humanities and Social Sciences Communications, Palgrave Macmillan, vol. 8(1), pages 1-12, December.
- McAvoy, Alex & Hauert, Christoph, 2017. "Autocratic strategies for alternating games," Theoretical Population Biology, Elsevier, vol. 113(C), pages 13-22.
- Jin-Li Guo, 2014. "Zero-determinant strategies in iterated multi-strategy games," Papers 1409.1786, arXiv.org, revised Sep 2014.
- Zhou, Zhizhuo & Rong, Zhihai & Yang, Wen & Wu, Zhi-Xi, 2024. "Coevolution of extortion strategies with mixed imitation and aspiration learning dynamics in spatial Prisoner’s Dilemma game," Chaos, Solitons & Fractals, Elsevier, vol. 188(C).
- El-Salam, Salsabeel M. Abd & El-Seidy, Essam & Abdel-Malek, Amira R., 2023. "Evaluating zero-determinant strategies’ effects on cooperation and conflict resolution in repeated games," Chaos, Solitons & Fractals, Elsevier, vol. 174(C).
- Kang, Kai & Tian, Jinyan & Zhang, Boyu, 2024. "Cooperation and control in asymmetric repeated games," Applied Mathematics and Computation, Elsevier, vol. 470(C).
- Christian Hilbe & Martin A Nowak & Arne Traulsen, 2013. "Adaptive Dynamics of Extortion and Compliance," PLOS ONE, Public Library of Science, vol. 8(11), pages 1-9, November.
- Vincent Knight & Marc Harper & Nikoleta E Glynatsi & Owen Campbell, 2018. "Evolution reinforces cooperation with the emergence of self-recognition mechanisms: An empirical study of strategies in the Moran process for the iterated prisoner’s dilemma," PLOS ONE, Public Library of Science, vol. 13(10), pages 1-33, October.
- Vincent Knight & Marc Harper & Nikoleta E Glynatsi & Jonathan Gillard, 2024. "Recognising and evaluating the effectiveness of extortion in the Iterated Prisoner’s Dilemma," PLOS ONE, Public Library of Science, vol. 19(7), pages 1-17, July.
- Ueda, Masahiko, 2025. "On the implementation of zero-determinant strategies in repeated games," Applied Mathematics and Computation, Elsevier, vol. 489(C).
- Taha, Mohammad A. & Ghoneim, Ayman, 2020. "Zero-determinant strategies in repeated asymmetric games," Applied Mathematics and Computation, Elsevier, vol. 369(C).
- Wu, Jiabin, 2026. "The evolution of strategies in repeated 2 × 2 anti-coordination games," Games and Economic Behavior, Elsevier, vol. 158(C), pages 584-604.
- He, Zhixue & Geng, Yini & Shen, Chen & Shi, Lei, 2020. "Evolution of cooperation in the spatial prisoner’s dilemma game with extortion strategy under win-stay-lose-move rule," Chaos, Solitons & Fractals, Elsevier, vol. 141(C).
- Jie, Yingmo & Liu, Charles Zhechao & Choo, Kim-Kwang Raymond & Guo, Cheng, 2024. "An incentive compatible ZD strategy-based data sharing model for federated learning: A perspective of iterated prisoner's dilemma," European Journal of Operational Research, Elsevier, vol. 315(2), pages 764-776.
- Huang, Huaihe & Ye, Ye & Bao, Wei & Zhang, Yue & Xie, Nenggang, 2026. "An evolutionary game analysis of a dynamically switching zero-determinant strategy," Applied Mathematics and Computation, Elsevier, vol. 515(C).
- Axel Gautier & Ashwin Ittoo & Pieter Cleynenbreugel, 2020. "AI algorithms, price discrimination and collusion: a technological, economic and legal perspective," European Journal of Law and Economics, Springer, vol. 50(3), pages 405-435, December.
- Yohsuke Murase & Seung Ki Baek, 2021. "Friendly-rivalry solution to the iterated n-person public-goods game," PLOS Computational Biology, Public Library of Science, vol. 17(1), pages 1-17, January.
- Amnon Rapoport & Darryl A Seale & Andrew M Colman, 2015. "Is Tit-for-Tat the Answer? On the Conclusions Drawn from Axelrod's Tournaments," PLOS ONE, Public Library of Science, vol. 10(7), pages 1-11, July.
- Marc Harper & Vincent Knight & Martin Jones & Georgios Koutsovoulos & Nikoleta E Glynatsi & Owen Campbell, 2017. "Reinforcement learning produces dominant strategies for the Iterated Prisoner’s Dilemma," PLOS ONE, Public Library of Science, vol. 12(12), pages 1-33, December.
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