Comparer des méthodes

	Théorie des jeux évolutionnistes	Concurrence de Cournot
Domaine	Théorie des jeux	Théorie des jeux
Famille	Machine learning	Machine learning
Année d'origine	1973	1838
Auteur d'origine	John Maynard Smith, George Price	Augustin-Louis Cournot
Type	algorithm	algorithm
Source fondatrice	Smith, J. M., & Price, G. R. (1973). The logic of animal conflict. Nature, 246(5427), 15-18.	Cournot, A. A. (1838). Recherches sur les principes mathématiques de la théorie des richesses. L. Hachette.
Alias	ESS, Evolutionarily Stable Strategy, Replicator Dynamics	Quantity Competition, Cournot Equilibrium, Cournot-Nash Equilibrium
Apparentées	4	4
Résumé	Evolutionary Game Theory applies game-theoretic reasoning to biological evolution and social dynamics, where populations of agents with different strategies interact repeatedly. Introduced by John Maynard Smith and George Price in 1973, the framework uses the concept of Evolutionarily Stable Strategies (ESS) to identify strategy distributions that cannot be invaded by mutant strategies. Replicator dynamics describe how strategy frequencies evolve over time when reproduction is proportional to payoff success.	Cournot Competition models oligopolistic markets where firms choose quantities simultaneously, not prices. Originally formulated by Augustin-Louis Cournot in 1838, the model assumes each firm's profit depends on the total market quantity produced. The resulting Cournot-Nash Equilibrium captures the strategic interaction where each firm maximizes profit given competitors' quantities, leading to prices between monopoly and perfect competition levels.