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image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Physica D Nonlinear ...arrow_drop_down
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
Physica D Nonlinear Phenomena
Article . 1986 . Peer-reviewed
License: Elsevier TDM
Data sources: Crossref
https://doi.org/10.1007/978-3-...
Part of book or chapter of book . 1980 . Peer-reviewed
Data sources: Crossref
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Evolutionary Game Theory

Authors: John Maynard Smith;

Evolutionary Game Theory

Abstract

Evolutionary game theory is a method of analysing the evolution of phenotypes when fitnesses are frequency-dependent. The assumption made about inheritance is the simplest possible one, that individuals produce offspring identical to themselves — i.e. parthenogenetic inheritance. Hence the method is not well suited for analysing the genetic structure of populations, or the way in which evolution depends on breeding systems. Essentially, it is concerned with deciding which phenotypes will win in competition in an evolving population. If the fitnesses of phenotypes are constant and independent of their frequencies, it is simply a matter of deciding which is the fittest; if this is difficult, optimisation methods may be useful. Game theory is relevant only when fitnesses vary with frequency. This paper presents a formal account of evolutionary game theory; applications to field and laboratory data are discussed by Maynard Smith (1979).

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
60
Top 1%
Top 10%
Average
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