Mutation-selection equilibrium in games with multiple strategies.
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.
Antal
Tibor
T
Program for Evolutionary Dynamics, Department of Mathematics, Harvard University, Cambridge, MA 02138, USA. tibor_antal@harvard.edu
Traulsen
Arne
A
Ohtsuki
Hisashi
H
Tarnita
Corina E
CE
Nowak
Martin A
MA
D000818:Animals; D003198:Computer Simulation; D005716:Game Theory; D008957:Models, Genetic; D009154:Mutation; D011157:Population Dynamics; D012641:Selection, Genetic; D013269:Stochastic Processes