2020
DOI: 10.1016/j.amc.2020.125227
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Evolutionary game dynamics of Moran process with fuzzy payoffs and its application

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Cited by 17 publications
(7 citation statements)
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“…The evolutionary game of finite groups is widely used in sociology, economics, management, and other fields. For example, it is used to predict how strategies in the player group evolve ( 24 ), and how to promote polluting enterprises to deal with emissions ( 25 ). The Moran process can promote cooperation between enterprises ( 26 ), and when the strength of selection among groups is strong enough, cooperation can be sustained ( 27 ).…”
Section: Literature Reviewmentioning
confidence: 99%
“…The evolutionary game of finite groups is widely used in sociology, economics, management, and other fields. For example, it is used to predict how strategies in the player group evolve ( 24 ), and how to promote polluting enterprises to deal with emissions ( 25 ). The Moran process can promote cooperation between enterprises ( 26 ), and when the strength of selection among groups is strong enough, cooperation can be sustained ( 27 ).…”
Section: Literature Reviewmentioning
confidence: 99%
“…Any proportion of cooperation can be sustained [ 24 ]. Evolutionary game theory about finite groups is widely used in sociology, economics, management, etc., for example, by building the Moran process game to predict strategies that evolve in groups of players [ 25 ], studying the results of stochastic evolutionary game dynamics combining imitation update rules and average payoff-driven update rules [ 26 ], and solving the problem of strategy choice for interaction among polluting enterprises [ 27 ].…”
Section: Literature Reviewmentioning
confidence: 99%
“…Significantly, the evolutionary equilibrium strategies among participants are always the results of learning and adjustment rather than one-shot game results; the game allows for errors and allows participants to learn from previous errors to reach stable state strategies [25,26]. us, EGT is generally used to study the long-term stable strategy choice of participants [27,28].…”
Section: Evolutionary Gamementioning
confidence: 99%