Results 11 to 20 of about 203,490 (332)
Evolutionary Game Theory: Darwinian Dynamics and the G Function Approach
Games, 2021 Classical evolutionary game theory allows one to analyze the population dynamics of interacting individuals playing different strategies (broadly defined) in a population.
Anuraag Bukkuri, Joel S. Brown
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Cooperation Mechanism in Blockchain by Evolutionary Game Theory
Complexity, 2021 In the blockchain network, to get rewards in the blockchain, blockchain participants pay for various forms of competition such as computing power, stakes, and other resources.
Jinxin Zhang, Meng Wu
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Evolutionary game theory and the adaptive dynamics approach: adaptation where individuals interact. [PDF]
Philos Trans R Soc Lond B Biol Sci, 2023 Evolutionary game theory and the adaptive dynamics approach have made invaluable contributions to understanding how gradual evolution leads to adaptation when individuals interact.
Avila P, Mullon C.
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The early rise and spread of evolutionary game theory: perspectives based on recollections of early workers. [PDF]
Philos Trans R Soc Lond B Biol Sci, 2023 Though the first attempts to introduce game theory into evolutionary biology failed, new formalism by Maynard Smith and Price in 1973 had almost instant success. We use information supplied by early workers to analyse how and why evolutionary game theory
Grodwohl JB, Parker GA.
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The Contribution of Evolutionary Game Theory to Understanding and Treating Cancer. [PDF]
Dyn Games Appl, 2022 Evolutionary game theory mathematically conceptualizes and analyzes biological interactions where one’s fitness not only depends on one’s own traits, but also on the traits of others. Typically, the individuals are not overtly rational and do not select,
Wölfl B +7 more
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Reward Mechanism for Blockchains Using Evolutionary Game Theory [PDF]
Conference on Blockchain Research & Applications for Innovative Networks and Services, 2021 Blockchains have witnessed widespread adoption in the past decade in various fields. The growing demand makes their scalability and sustainability challenges more evident than ever.
Shashank Motepalli, H. Jacobsen
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Revisiting evolutionary game theory [PDF]
52nd IEEE Conference on Decision and Control, 2013 Evolutionary game theory is a relatively young mathematical theory that aims to formalize in mathematical terms evolution models in biology. In recent years this paradigm has penetrated more and more into other areas such as the linguistics, economics and engineering.
Brunetti, Ilaria, Altman, Eitan
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Emergent behaviours in multi-agent systems with Evolutionary Game Theory
AI Communications, 2022 The mechanisms of emergence and evolution of collective behaviours in dynamical Multi-Agent Systems (MAS) of multiple interacting agents, with diverse behavioral strategies in co-presence, have been undergoing mathematical study via Evolutionary Game ...
H. Anh
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Evolutionary Game Theory in Growing Populations [PDF]
Physical Review Letters, 2010 Existing theoretical models of evolution focus on the relative fitness advantages of different mutants in a population while the dynamic behavior of the population size is mostly left unconsidered. We here present a generic stochastic model which combines the growth dynamics of the population and its internal evolution.
Melbinger, Anna +2 more
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Asymmetric Evolutionary Games. [PDF]
PLoS Computational Biology, 2015 Evolutionary game theory is a powerful framework for studying evolution in populations of interacting individuals. A common assumption in evolutionary game theory is that interactions are symmetric, which means that the players are distinguished by only ...
Alex McAvoy, Christoph Hauert
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