Evolutionary game dynamics in finite populations with strong selection and weak mutation.

Drew Fudenberg, Martin A Nowak, Christine Taylor, Lorens A Imhof
Author Information
  1. Drew Fudenberg: Department of Economics, Harvard University, Cambridge, MA 02138, USA. dfudenberg@harvard.edu

Abstract

We study stochastic game dynamics in finite populations. To this end we extend the classical Moran process to incorporate frequency-dependent selection and mutation. For 2 x 2 games, we give a complete analysis of the long-run behavior when mutation rates are small. For 3 x 3 coordination games, we provide a simple rule to determine which strategy will be selected in large populations. The expected motion in our model resembles the standard replicator dynamics when the population is large, but is qualitatively different when the population is small. Our analysis shows that even in large finite populations the behavior of a replicator-like system can be different from that of the standard replicator dynamics. As an application, we consider selective language dynamics. We determine which language will be spoken in finite large populations. The results have an intuitive interpretation but would not be expected from an analysis of the replicator dynamics.

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Grants

  1. R01 GM078986/NIGMS NIH HHS
  2. R01 GM078986-04/NIGMS NIH HHS

MeSH Term

Biological Evolution
Data Interpretation, Statistical
Game Theory
Genetic Variation
Genetics, Population
Humans
Markov Chains
Models, Genetic
Mutation
Phenotype
Population Density
Population Dynamics
Probability
Risk
Selection, Genetic
Semantics
Stochastic Processes

Word Cloud

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