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Stackelberg evolutionary game theory: how to manage evolving systems

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...

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Autores principales: Stein, Alexander, Salvioli, Monica, Garjani, Hasti, Dubbeldam, Johan, Viossat, Yannick, Brown, Joel S., Staňková, Kateřina
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Royal Society 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10024980/
https://www.ncbi.nlm.nih.gov/pubmed/36934755
http://dx.doi.org/10.1098/rstb.2021.0495
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author Stein, Alexander
Salvioli, Monica
Garjani, Hasti
Dubbeldam, Johan
Viossat, Yannick
Brown, Joel S.
Staňková, Kateřina
author_facet Stein, Alexander
Salvioli, Monica
Garjani, Hasti
Dubbeldam, Johan
Viossat, Yannick
Brown, Joel S.
Staňková, Kateřina
author_sort Stein, Alexander
collection PubMed
description 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’.
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spelling pubmed-100249802023-03-21 Stackelberg evolutionary game theory: how to manage evolving systems Stein, Alexander Salvioli, Monica Garjani, Hasti Dubbeldam, Johan Viossat, Yannick Brown, Joel S. Staňková, Kateřina Philos Trans R Soc Lond B Biol Sci Articles 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’. The Royal Society 2023-05-08 2023-03-20 /pmc/articles/PMC10024980/ /pubmed/36934755 http://dx.doi.org/10.1098/rstb.2021.0495 Text en © 2023 The Authors. https://creativecommons.org/licenses/by/4.0/Published by the Royal Society under the terms of the Creative Commons Attribution License http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, provided the original author and source are credited.
spellingShingle Articles
Stein, Alexander
Salvioli, Monica
Garjani, Hasti
Dubbeldam, Johan
Viossat, Yannick
Brown, Joel S.
Staňková, Kateřina
Stackelberg evolutionary game theory: how to manage evolving systems
title Stackelberg evolutionary game theory: how to manage evolving systems
title_full Stackelberg evolutionary game theory: how to manage evolving systems
title_fullStr Stackelberg evolutionary game theory: how to manage evolving systems
title_full_unstemmed Stackelberg evolutionary game theory: how to manage evolving systems
title_short Stackelberg evolutionary game theory: how to manage evolving systems
title_sort stackelberg evolutionary game theory: how to manage evolving systems
topic Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10024980/
https://www.ncbi.nlm.nih.gov/pubmed/36934755
http://dx.doi.org/10.1098/rstb.2021.0495
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