قارن الطرق
راجع الطرق التي اخترتها جنبًا إلى جنب؛ الصفوف المختلفة مميَّزة.
| توازن السهم-دبرو× | توازن ناش البيزي× | |
|---|---|---|
| المجال | نظرية الألعاب | نظرية الألعاب |
| العائلة | Machine learning | Machine learning |
| سنة النشأة≠ | 1954 | 1967 |
| صاحب الطريقة≠ | Kenneth Arrow, Gerard Debreu | John Harsanyi |
| النوع | algorithm | algorithm |
| المصدر التأسيسي≠ | 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 ↗ |
| الأسماء البديلة | Walrasian Equilibrium, General Equilibrium, Competitive Equilibrium | BNE, Perfect Bayesian Equilibrium, Type-Contingent Equilibrium |
| ذات صلة | 4 | 4 |
| الملخص≠ | 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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