Evolutionarily_stable_strategies Evolutionarily_stable_strategies

Evolutionarily stable strategies - Definition and Overview

The evolutionarily stable strategy (or ESS; also evolutionary stable strategy) is a central concept in game theory introduced by John Maynard Smith and George R. Price in 1973 (a full account is given by Maynard Smith, 1982). It is based on a concept of a population of organisms playing a certain strategy, that a mutant allele that causes organisms to adopt a different strategy cannot invade the population, but will instead be selected out by natural selection.

The concept was based on W.D. Hamilton's (1967) unbeatable strategy; the difference is that an unbeatable strategy is resistant to large migrations of different strategies. Through Hamilton's work on sex ratios the concept can be traced back through Ronald Fisher (1930) and Charles Darwin (1859) (see Edwards, 1998).

An ESS depends on the idea of invasion, where a population of strategy-X players is visited by a strategy-Y player. The new player is said to invade if, following strategy Y, he scores better than the average strategy-X player. Assuming players are able to choose and switch strategies, this would induce the indigenous population to start switching to strategy Y. In many cases there are diminishing returns for the later adopters, and what follows is an equilibrium ratio of strategy-X players to strategy-Y players.

A strategy X is evolutionarily stable if there is no strategy Y that can invade it. That is, anybody bringing a new strategy into a population of strategy-X players will fare no better on average than the X players are already doing. (See the closely-related Nash equilibrium.) ESS is stable in respect to randomly and occasionally occurring invading strategies, thus it is not stable in respect to mass counts of invaders.

The recent, controversial sciences of sociobiology and now evolutionary psychology attempt to explain animal and human behavior and social structures, largely in terms of evolutionarily stable strategies. For example, in one well-known 1995 paper (http://www.bbsonline.org/Preprints/OldArchive/bbs.mealey.html) by Linda Mealey, sociopathy (chronic antisocial/criminal behavior) is explained as a combination of two such strategies.

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Topics in game theory
Evolutionarily stable strategy - Mechanism design - No-win - Winner's curse - Zero-sum
Games: Prisoner's dilemma - Chicken - Assurance games - Ultimatum game - Matching pennies ...
Related topics: Mathematics - Economics - Behavioral economics - Evolutionary biology - Evolutionary game theory - Population genetics - Behavioral ecology
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Example Usage of Evolutionarily

AllenDam: Hunger won out. I guess this bodes well Evolutionarily.
tolunozarslan: QA Analysts have the right to test Evolutionarily early as the system increments.
jonbarr: @dmerwrock Evolutionarily, it makes the non-shy peoples' jobs easier. Sorry. I still like you, head buried in the sand and all. :D
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