Abstract
In an evolutionary game, players are interpreted as populations—of animals or individuals. The probabilities in a mixed strategy of a player in a bimatrix game are interpreted as shares of the population. Individuals within the same part of the population play the same pure strategy. The main ‘solution’ concept is the concept of an evolutionary stable strategy.
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Notes
- 1.
In the literature also called equilibrium points, critical points, stationary points.
References
Gardner, R. (1995). Games for business and economics. New York: Wiley.
Hofbauer, J., & Sigmund, K. (1988). The theory of evolution and dynamical systems. Cambridge: Cambridge University Press.
Maynard Smith, J., & Price, G. R. (1973). The logic of animal conflict. Nature, 246, 15–18.
Selten, R. (1980). A note on evolutionary stable strategies in asymmetric animal conflicts. Journal of Theoretical Biology, 84, 93–101.
Selten, R. (1983). Evolutionary stability in extensive-form two-person games. Mathematical Social Sciences, 5, 269–363.
Taylor, P., & Jonker, L. (1978). Evolutionary stable strategies and game dynamics. Mathematical Biosciences, 40, 145–156.
Weibull, J. W. (1995). Evolutionary game theory. Cambridge: MIT Press.
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Peters, H. (2015). An Introduction to Evolutionary Games. In: Game Theory. Springer Texts in Business and Economics. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-46950-7_8
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