In evolutionary games the fitness of individuals is not constant but depends on the relative abundance of the various strategies in the population. Here we study general games among n strategies in populations of large but finite size. We explore stochastic evolutionary dynamics under weak selection, but for any mutation rate. We analyze the frequency dependent Moran process in well-mixed populations, but almost identical results are found for the Wright-Fisher and Pairwise Comparison processes. Surprisingly simple conditions specify whether a strategy is more abundant on average than 1/n, or than another strategy, in the mutation-selection equilibrium. We find one condition that holds for low mutation rate and another condition that holds for high mutation rate. A linear combination of these two conditions holds for any mutation rate. Our results allow a complete characterization of nxn games in the limit of weak selection.
Mutation-selection equilibrium in games with multiple strategies.
T. Antal,A. Traulsen,H. Ohtsuki,C. Tarnita,M. Nowak
Published 2008 in Journal of Theoretical Biology
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- Publication year
2008
- Venue
Journal of Theoretical Biology
- Publication date
2008-11-13
- Fields of study
Biology, Mathematics, Medicine
- Identifiers
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- Source metadata
Semantic Scholar, PubMed
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