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Game theory
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===Evolutionary game theory=== {{main|Evolutionary game theory}} Evolutionary game theory studies players who adjust their strategies over time according to rules that are not necessarily rational or farsighted.<ref name=Newton2018renaissance>{{cite journal | last1=Newton | first1=Jonathan | year=2018 | title=Evolutionary Game Theory: A Renaissance | journal=Games | volume=9 | issue=2 | pages=31 | doi=10.3390/g9020031| doi-access=free | hdl=10419/179191 | hdl-access=free }}</ref> In general, the evolution of strategies over time according to such rules is modeled as a [[Markov chain]] with a state variable such as the current strategy profile or how the game has been played in the recent past. Such rules may feature imitation, optimization, or survival of the fittest. In biology, such models can represent [[evolution]], in which offspring adopt their parents' strategies and parents who play more successful strategies (i.e. corresponding to higher payoffs) have a greater number of offspring. In the social sciences, such models typically represent strategic adjustment by players who play a game many times within their lifetime and, consciously or unconsciously, occasionally adjust their strategies.{{sfnp|Webb|2007}}
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