Literature DB >> 29484454

Evolutionary games under incompetence.

Maria Kleshnina1, Jerzy A Filar2, Vladimir Ejov3, Jody C McKerral3,4.   

Abstract

The adaptation process of a species to a new environment is a significant area of study in biology. As part of natural selection, adaptation is a mutation process which improves survival skills and reproductive functions of species. Here, we investigate this process by combining the idea of incompetence with evolutionary game theory. In the sense of evolution, incompetence and training can be interpreted as a special learning process. With focus on the social side of the problem, we analyze the influence of incompetence on behavior of species. We introduce an incompetence parameter into a learning function in a single-population game and analyze its effect on the outcome of the replicator dynamics. Incompetence can change the outcome of the game and its dynamics, indicating its significance within what are inherently imperfect natural systems.

Keywords:  Evolutionary game theory; Incompetence; Matrix games; Replicator dynamics

Mesh:

Year:  2018        PMID: 29484454     DOI: 10.1007/s00285-018-1221-2

Source DB:  PubMed          Journal:  J Math Biol        ISSN: 0303-6812            Impact factor:   2.259


  6 in total

1.  Evolution of universal grammar.

Authors:  M A Nowak; N L Komarova; P Niyogi
Journal:  Science       Date:  2001-01-05       Impact factor: 47.728

2.  Replicator-mutator equation, universality property and population dynamics of learning.

Authors:  Natalia L Komarova
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3.  Mutation in autocatalytic reaction networks. An analysis based on perturbation theory.

Authors:  P F Stadler; P Schuster
Journal:  J Math Biol       Date:  1992       Impact factor: 2.259

4.  The evolutionary dynamics of grammar acquisition.

Authors:  N L Komarova; P Niyogi; M A Nowak
Journal:  J Theor Biol       Date:  2001-03-07       Impact factor: 2.691

Review 5.  Dynamics of adaptation and diversification: a 10,000-generation experiment with bacterial populations.

Authors:  R E Lenski; M Travisano
Journal:  Proc Natl Acad Sci U S A       Date:  1994-07-19       Impact factor: 11.205

6.  Chemotaxis in bacteria.

Authors:  J Adler
Journal:  Science       Date:  1966-08-12       Impact factor: 47.728

  6 in total

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