विधियों की तुलना करें
चुनी हुई विधियों की आमने-सामने समीक्षा करें; भिन्नता वाली पंक्तियाँ रेखांकित हैं।
| एरो-डेब्रेयू संतुलन× | बाइसेशियन नैश इक्विलिब्रियम (Bayesian Nash Equilibrium)× | |
|---|---|---|
| क्षेत्र | खेल सिद्धांत | खेल सिद्धांत |
| परिवार | Machine learning | Machine learning |
| उद्भव वर्ष≠ | 1954 | 1967 |
| प्रवर्तक≠ | Kenneth Arrow, Gerard Debreu | John Harsanyi |
| प्रकार | algorithm | algorithm |
| मौलिक स्रोत≠ | Arrow, K. J., & Debreu, G. (1954). Existence of an equilibrium for competitive economies. Econometrica, 22(3), 265-290. DOI ↗ | Harsanyi, J. C. (1967). Games with incomplete information played by Bayesian players, Parts I, II, and III. Management Science, 14(3), 159-182. DOI ↗ |
| उपनाम | Walrasian Equilibrium, General Equilibrium, Competitive Equilibrium | BNE, Perfect Bayesian Equilibrium, Type-Contingent Equilibrium |
| संबंधित | 4 | 4 |
| सारांश≠ | 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. |
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