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Stackelbergovo natjecanje×Bayesova Nashova ravnoteža×
PodručjeTeorija igaraTeorija igara
ObiteljMachine learningMachine learning
Godina nastanka19341967
TvoracHeinrich von StackelbergJohn Harsanyi
Vrstaalgorithmalgorithm
Temeljni izvorvon Stackelberg, H. (1934). Marktform und Gleichgewicht. Julius Springer. link ↗Harsanyi, J. C. (1967). Games with incomplete information played by Bayesian players, Parts I, II, and III. Management Science, 14(3), 159-182. DOI ↗
Drugi naziviQuantity Leadership, Sequential Oligopoly, Stackelberg EquilibriumBNE, Perfect Bayesian Equilibrium, Type-Contingent Equilibrium
Srodne44
SažetakStackelberg 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.Bayesian Nash Equilibrium (BNE) extends Nash Equilibrium to games with incomplete information, where players lack full knowledge of others' payoff functions. Introduced by John Harsanyi in 1967, BNE models strategic interaction under uncertainty by representing unknown payoffs as players' private types drawn from a probability distribution. Equilibrium is found by solving for type-contingent strategies that are best responses to all possible type realizations.
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ScholarGateUsporedite metode: Stackelberg Competition · Bayesian Nash Equilibrium. Preuzeto 2026-06-18 s https://scholargate.app/hr/compare