Strategy abundance in evolutionary many-player games with multiple strategies
arXiv:1106.4049 · doi:10.1016/j.jtbi.2011.05.031
Abstract
Evolutionary game theory is an abstract and simple, but very powerful way to model evolutionary dynamics. Even complex biological phenomena can sometimes be abstracted to simple two-player games. But often, the interaction between several parties determines evolutionary success. Rather than pair-wise interactions, in this case we must take into account the interactions between many players, which are inherently more complicated than the usual two-player games, but can still yield simple results. In this manuscript we derive the composition of a many-player multiple strategy system in the mutation-selection equilibrium. This results in a simple expression which can be obtained by recursions using coalescence theory. This approach can be modified to suit a variety of contexts, e.g. to find the equilibrium frequencies of a finite number of alleles in a polymorphism or that of different strategies in a social dilemma in a cultural context.
15 pages, 6 figures, Journal of Theoretical Biology (2011)
References in corpus (6)
- Phase transitions and volunteering in spatial public goods games
- Human strategy updating in evolutionary games
- Evolutionary games in the multiverse
- Evolutionary game dynamics in phenotype space
- Mutation-selection equilibrium in games with multiple strategies
- Strategy abundance in 2x2 games for arbitrary mutation rates
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