Literature DB >> 9429748

On the instability of evolutionary stable strategies.

D B Fogel1, G B Fogel, P C Andrews.   

Abstract

Evolutionary stable strategies (ESSs) are often used to explain the behaviors of individuals and species. The analysis of ESSs determines which, if any, combinations of behaviors cannot be invaded by alternative strategies. However, two of the assumptions required to generate ESSs, an infinite population and payoffs described only on the average, are not particularly realistic in natural situations. Previous experiments have indicated that under more natural conditions of finite populations and stochastic payoffs, populations may evolve in trajectories that are unrelated to an ESS, even in very simple evolutionary games. Those earlier simulations are extended here under a variety of conditions. The results suggest that ESSs may not provide a good explanation of a finite population's behavior even when the conditions correspond closely with the infinite population model. The implications of these results are discussed briefly in light of previous literature claiming that ESSs generated suitable explanations of real-world data.

Mesh:

Year:  1997        PMID: 9429748     DOI: 10.1016/s0303-2647(97)00050-6

Source DB:  PubMed          Journal:  Biosystems        ISSN: 0303-2647            Impact factor:   1.973


  3 in total

1.  Evolution of learned strategy choice in a frequency-dependent game.

Authors:  Edith Katsnelson; Uzi Motro; Marcus W Feldman; Arnon Lotem
Journal:  Proc Biol Sci       Date:  2011-09-21       Impact factor: 5.349

2.  Emergence of polymorphic mating strategies in robot colonies.

Authors:  Stefan Elfwing; Kenji Doya
Journal:  PLoS One       Date:  2014-04-09       Impact factor: 3.240

3.  Evolution of risk preference is determined by reproduction dynamics, life history, and population size.

Authors:  Oren Kolodny; Caitlin Stern
Journal:  Sci Rep       Date:  2017-08-24       Impact factor: 4.379

  3 in total

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