পদ্ধতির তুলনা করুন

	Stackelberg Competition	বেইসিয়ান ন্যাশ ইক্যুইলিব্রিয়াম
ক্ষেত্র	খেলা তত্ত্ব	খেলা তত্ত্ব
পরিবার	Machine learning	Machine learning
উদ্ভবের বছর	1934	1967
প্রবর্তক	Heinrich von Stackelberg	John Harsanyi
ধরন	algorithm	algorithm
মৌলিক উৎস	von Stackelberg, H. (1934). Marktform und Gleichgewicht. Julius Springer.	Harsanyi, J. C. (1967). Games with incomplete information played by Bayesian players, Parts I, II, and III. Management Science, 14(3), 159-182.
অপর নাম	Quantity Leadership, Sequential Oligopoly, Stackelberg Equilibrium	BNE, Perfect Bayesian Equilibrium, Type-Contingent Equilibrium
সম্পর্কিত	4	4
সারসংক্ষেপ	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.	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.