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Evolutionary game theory in mixed strategies: From microscopic interactions to kinetic equations
2020
Kinetic and Related Models
In this work we propose a kinetic formulation for evolutionary game theory for zero sum games when the agents use mixed strategies. We start with a simple adaptive rule, where after an encounter each agent increases by a small amount h the probability of playing the successful pure strategy used in the match. We derive the Boltzmann equation which describes the macroscopic effects of this microscopical rule, and we obtain a first order, nonlocal, partial differential equation as the limit when
doi:10.3934/krm.2020051
fatcat:qkape3f7srghlh2na3rr3tjyku