# Evolutionary game theory

## Application of game theory to evolving populations in biology / From Wikipedia, the free encyclopedia

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**Evolutionary game theory** (**EGT**) is the application of game theory to evolving populations in biology. It defines a framework of contests, strategies, and analytics into which Darwinian competition can be modelled. It originated in 1973 with John Maynard Smith and George R. Price's formalisation of contests, analysed as strategies, and the mathematical criteria that can be used to predict the results of competing strategies.^{[1]}

Evolutionary game theory differs from classical game theory in focusing more on the dynamics of strategy change.^{[2]} This is influenced by the frequency of the competing strategies in the population.^{[3]}

Evolutionary game theory has helped to explain the basis of altruistic behaviours in Darwinian evolution. It has in turn become of interest to economists,^{[4]} sociologists, anthropologists, and philosophers.