विधियों की तुलना करें

	Cournot Competition	विकासवादी खेल सिद्धांत (Evolutionary Game Theory)
क्षेत्र	खेल सिद्धांत	खेल सिद्धांत
परिवार	Machine learning	Machine learning
उद्भव वर्ष	1838	1973
प्रवर्तक	Augustin-Louis Cournot	John Maynard Smith, George Price
प्रकार	algorithm	algorithm
मौलिक स्रोत	Cournot, A. A. (1838). Recherches sur les principes mathématiques de la théorie des richesses. L. Hachette.	Smith, J. M., & Price, G. R. (1973). The logic of animal conflict. Nature, 246(5427), 15-18.
उपनाम	Quantity Competition, Cournot Equilibrium, Cournot-Nash Equilibrium	ESS, Evolutionarily Stable Strategy, Replicator Dynamics
संबंधित	4	4
सारांश	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.	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.