مقایسهٔ روش‌ها

	تعادل ارو-دبرو	Bayesian Nash Equilibrium
حوزه	نظریه بازی‌ها	نظریه بازی‌ها
خانواده	Machine learning	Machine learning
سال پیدایش	1954	1967
پدیدآور	Kenneth Arrow, Gerard Debreu	John Harsanyi
نوع	algorithm	algorithm
منبع بنیادین	Arrow, K. J., & Debreu, G. (1954). Existence of an equilibrium for competitive economies. Econometrica, 22(3), 265-290.	Harsanyi, J. C. (1967). Games with incomplete information played by Bayesian players, Parts I, II, and III. Management Science, 14(3), 159-182.
نام‌های دیگر	Walrasian Equilibrium, General Equilibrium, Competitive Equilibrium	BNE, Perfect Bayesian Equilibrium, Type-Contingent Equilibrium
مرتبط	4	4
خلاصه	The Arrow-Debreu model is a general equilibrium framework where prices adjust to clear all markets simultaneously, and consumers and firms optimize given those prices. Introduced by Kenneth Arrow and Gerard Debreu in 1954, the model extends Adam Smith's invisible hand concept into a rigorous mathematical framework. Arrow-Debreu equilibrium proves existence, uniqueness (under certain conditions), and Pareto efficiency of competitive equilibria.	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.