Literature DB >> 17905309

Finite populations choose an optimal language.

Christina Pawlowitsch1.   

Abstract

This paper studies the evolution of a proto-language in a finite population under the frequency-dependent Moran process. A proto-language can be seen as a collection of concept-to-sign mappings. An efficient proto-language is a bijective mapping from objects of communication to used signs and vice versa. Based on the comparison of fixation probabilities, a method for deriving conditions of evolutionary stability in a finite population [Nowak et al., 2004. Emergence of cooperation and evolutionary stability in finite populations. Nature 428, 246-650], it is shown that efficient proto-languages are the only strategies that are protected by selection, which means that no mutant strategy can have a fixation probability that is greater than the inverse population size. In passing, the paper provides interesting results about the comparison of fixation probabilities as well as Maynard Smith's notion of evolutionary stability for finite populations [Maynard Smith, 1988. Can a mixed strategy be stable in a finite population? J. Theor. Biol. 130, 247-251] that are generally true for games with a symmetric payoff function.

Mesh:

Year:  2007        PMID: 17905309     DOI: 10.1016/j.jtbi.2007.08.009

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


  4 in total

1.  A game theoretical approach to the evolution of structured communication codes.

Authors:  José F Fontanari; Leonid I Perlovsky
Journal:  Theory Biosci       Date:  2008-03-07       Impact factor: 1.919

2.  One-third rules with equality: Second-order evolutionary stability conditions in finite populations.

Authors:  Immanuel Bomze; Christina Pawlowitsch
Journal:  J Theor Biol       Date:  2008-06-21       Impact factor: 2.691

3.  Some dynamics of signaling games.

Authors:  Simon Huttegger; Brian Skyrms; Pierre Tarrès; Elliott Wagner
Journal:  Proc Natl Acad Sci U S A       Date:  2014-07-14       Impact factor: 11.205

4.  Evolution of signalling systems with multiple senders and receivers.

Authors:  Brian Skyrms
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2009-03-27       Impact factor: 6.237

  4 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.