Comparar métodos

	Teoría Evolutiva de Juegos	Competencia de Cournot
Campo	Teoría de juegos	Teoría de juegos
Familia	Machine learning	Machine learning
Año de origen	1973	1838
Autor original	John Maynard Smith, George Price	Augustin-Louis Cournot
Tipo	algorithm	algorithm
Fuente seminal	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
Relacionados	4	4
Resumen	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.