Centre for Cancer Genomics and Computational Biology, Barts Cancer Institute, Queen Mary University London, London EC1M 5PZ, UK.
Institute for Health Systems Science, Faculty of Technology, Policy and Management, Delft University of Technology, 2628 BX Delft, The Netherlands.
Philos Trans R Soc Lond B Biol Sci. 2023 May 8;378(1876):20210495. doi: 10.1098/rstb.2021.0495. Epub 2023 Mar 20.
Stackelberg evolutionary game (SEG) theory combines classical and evolutionary game theory to frame interactions between a rational leader and evolving followers. In some of these interactions, the leader wants to preserve the evolving system (e.g. fisheries management), while in others, they try to drive the system to extinction (e.g. pest control). Often the worst strategy for the leader is to adopt a constant aggressive strategy (e.g. overfishing in fisheries management or maximum tolerable dose in cancer treatment). Taking into account the ecological dynamics typically leads to better outcomes for the leader and corresponds to the Nash equilibria in game-theoretic terms. However, the leader's most profitable strategy is to anticipate and steer the eco-evolutionary dynamics, leading to the Stackelberg equilibrium of the game. We show how our results have the potential to help in fields where humans try to bring an evolutionary system into the desired outcome, such as, among others, fisheries management, pest management and cancer treatment. Finally, we discuss limitations and opportunities for applying SEGs to improve the management of evolving biological systems. This article is part of the theme issue 'Half a century of evolutionary games: a synthesis of theory, application and future directions'.
Stackelberg 进化博弈(SEG)理论将经典和进化博弈理论结合起来,构建了理性领导者和不断进化的追随者之间的相互作用。在这些相互作用中,领导者希望保留不断进化的系统(例如渔业管理),而在其他情况下,他们试图使系统灭绝(例如害虫防治)。通常,领导者的最坏策略是采用恒定的激进策略(例如渔业管理中的过度捕捞或癌症治疗中的最大耐受剂量)。考虑到生态动力学通常会为领导者带来更好的结果,这与博弈论中的纳什均衡相对应。然而,领导者最有利可图的策略是预测和引导生态进化动态,从而达到博弈的 Stackelberg 均衡。我们展示了我们的研究结果如何有潜力帮助人类将进化系统引入期望结果的领域,例如渔业管理、害虫管理和癌症治疗等。最后,我们讨论了应用 SEG 来改进不断进化的生物系统管理的局限性和机会。本文是主题为“进化博弈半个世纪:理论、应用和未来方向的综合”的一部分。