Revisiting Evolutionary Game Theory - Inria - Institut national de recherche en sciences et technologies du numérique Access content directly
Reports (Research Report) Year : 2013

Revisiting Evolutionary Game Theory

Abstract

Evolutionary game theory is a relatively young mathematical theory that aims to formalize in mathematical terms evolution models in biology. In recent years this paradigm has penetrated more and more into other areas such as the linguistics, economics and engineering. The current theory of evolutionary game makes an implicit assumption that the evolution is driven by selfishness of individuals who interact with each others. In mathematical terms this can be stated as "an individual equals a player in a game model". This assumption turns out to be quite restrictive in modeling evolution in biology. It is now more and more accepted among biologist that the evolution is driven by the selfish interests of large groups of individuals; a group may correspond for example to a whole beehive or to an ants' nest. In this paper we propose an alternative paradigm for modeling evolution where a player does not necessarily represent an interacting individual but a whole class of such individuals.
Fichier principal
Vignette du fichier
regt3.pdf (288.75 Ko) Télécharger le fichier
Origin : Files produced by the author(s)
Loading...

Dates and versions

hal-00801851 , version 1 (18-03-2013)

Identifiers

  • HAL Id : hal-00801851 , version 1

Cite

Ilaria Brunetti, Eitan Altman. Revisiting Evolutionary Game Theory. [Research Report] 2013. ⟨hal-00801851⟩
272 View
252 Download

Share

Gmail Facebook Twitter LinkedIn More