Evolutionary games in space

N. Kronik, Y. Cohen

Research output: Contribution to journalArticle

2 Scopus citations

Abstract

The G-function formalism has been widely used in the context of evolutionary games for identifying evolutionarily stable strategies (ESS). This formalism was developed for and applied to point processes. Here, we examine the G-function formalism in the settings of spatial evolutionary games and strategy dynamics, based on reaction-diffusion models. We start by extending the point process maximum principle to reaction-diffusion models with homogeneous, locally stable surfaces. We then develop the strategy dynamics for such surfaces. When the surfaces are locally stable, but not homogenous, the standard definitions of ESS and the maximum principle fall apart. Yet, we show by examples that strategy dynamics leads to convergent stable inhomogeneous strategies that are possibly ESS, in the sense that for many scenarios which we simulated, invaders could not coexist with the exisiting strategies.

Original languageEnglish (US)
Pages (from-to)54-90
Number of pages37
JournalMathematical Modelling of Natural Phenomena
Volume4
Issue number6
DOIs
StatePublished - Jan 1 2009

Keywords

  • G-function
  • evolutionary ecology
  • game theory
  • mathematical modeling
  • reaction-diffusion equation

Fingerprint Dive into the research topics of 'Evolutionary games in space'. Together they form a unique fingerprint.

  • Cite this