Evolutionary game theory (EGT) is the application of game theory to evolving populations of lifeforms in biology. EGT is useful in this context by defining a framework of contests, strategies, and analytics into which Darwinian competition can be modelled. EGT originated in 1973 with John Maynard Smith and George R. Price's formalisation of the way in which such contests can be analysed as "strategies" and the mathematical criteria that can be used to predict the resulting prevalence of such competing strategies.
Evolutionary game theory differs from classical game theory by focusing more on the dynamics of strategy change as influenced not solely by the quality of the various competing strategies, but by the effect of the frequency with which those various competing strategies are found in the population.
Evolutionary game theory has proven itself to be invaluable in helping to explain many complex and challenging aspects of biology. It has been particularly helpful in establishing the basis of altruistic behaviours within the context of Darwinian process. Despite its origin and original purpose, evolutionary game theory has become of increasing interest to economists, sociologists, anthropologists, and philosophers.
Read more about Evolutionary Game Theory: The Problem, Classical Game Theory, Adapting Game Theory To Evolutionary Games, Models, Games, Hawk Dove, The War of Attrition Game, Strategic Alternatives in Social Behaviour, Who Is Playing The Game?, Prisoners Dilemma, Routes To Altruism, The ESS, Rock Scissors Paper Game, Signalling and The Handicap Principle, Co-Evolution, Extensions of The Evolutionary Game Theory Model, Further Application
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—Thomas Henry Huxley (1825–1895)