Methoden vergleichen

	Evolutionäre Spieltheorie	Stackelberg-Wettbewerb
Fachgebiet	Spieltheorie	Spieltheorie
Familie	Machine learning	Machine learning
Entstehungsjahr	1973	1934
Urheber	John Maynard Smith, George Price	Heinrich von Stackelberg
Typ	algorithm	algorithm
Wegweisende Quelle	Smith, J. M., & Price, G. R. (1973). The logic of animal conflict. Nature, 246(5427), 15-18.	von Stackelberg, H. (1934). Marktform und Gleichgewicht. Julius Springer.
Aliasnamen	ESS, Evolutionarily Stable Strategy, Replicator Dynamics	Quantity Leadership, Sequential Oligopoly, Stackelberg Equilibrium
Verwandt	4	4
Zusammenfassung	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.	Stackelberg Competition models sequential oligopolistic markets where one firm (the leader) commits to a quantity first, and other firms (followers) observe this choice and respond. Introduced by Heinrich von Stackelberg in 1934, the model captures first-mover advantage in quantity-setting competition. The resulting Stackelberg Equilibrium, found by backward induction, yields the leader higher profit than simultaneous (Cournot) competition.