Literature DB >> 15019506

Evolutionary stability for large populations.

Daniel B Neill1.   

Abstract

We present a revision of Maynard Smith's evolutionary stability criteria for populations which are very large (though technically finite) and of unknown size. We call this the large population ESS, as distinct from Maynard Smith's infinite population ESS and Schaffer's finite population ESS. Building on Schaffer's finite population model, we define the large population ESS as a strategy which cannot be invaded by any finite number of mutants, as long as the population size is sufficiently large. The large population ESS is not equivalent to the infinite population ESS: we give examples of games in which a large population ESS exists but an infinite population ESS does not, and vice versa. Our main contribution is a simple set of two criteria for a large population ESS, which are similar (but not identical) to those originally proposed by Maynard Smith for infinite populations.

Mesh:

Year:  2004        PMID: 15019506     DOI: 10.1016/j.jtbi.2003.11.017

Source DB:  PubMed          Journal:  J Theor Biol        ISSN: 0022-5193            Impact factor:   2.691


  4 in total

1.  Fitness and evolutionary stability in game theoretic models of finite populations.

Authors:  Geoff Wild; Peter D Taylor
Journal:  Proc Biol Sci       Date:  2004-11-22       Impact factor: 5.349

2.  Evolutionary capacitance may be favored by natural selection.

Authors:  Joanna Masel
Journal:  Genetics       Date:  2005-05-23       Impact factor: 4.562

3.  Fixation in large populations: a continuous view of a discrete problem.

Authors:  Fabio A C C Chalub; Max O Souza
Journal:  J Math Biol       Date:  2015-04-28       Impact factor: 2.259

4.  Evolutionary stability on graphs.

Authors:  Hisashi Ohtsuki; Martin A Nowak
Journal:  J Theor Biol       Date:  2008-01-18       Impact factor: 2.691

  4 in total

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