เปรียบเทียบวิธี
ดูวิธีที่เลือกเทียบกันแบบเคียงข้าง แถวที่ต่างกันจะถูกเน้นไว้
| ดุลยภาพแบบ Arrow-Debreu× | สมดุลของนาชแบบเบย์ (Bayesian Nash Equilibrium)× | |
|---|---|---|
| สาขาวิชา | ทฤษฎีเกม | ทฤษฎีเกม |
| ตระกูล | Machine learning | Machine learning |
| ปีกำเนิด≠ | 1954 | 1967 |
| ผู้ริเริ่ม≠ | Kenneth Arrow, Gerard Debreu | John Harsanyi |
| ประเภท | algorithm | algorithm |
| แหล่งต้นตำรับ≠ | 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 ↗ |
| ชื่อเรียกอื่น | Walrasian Equilibrium, General Equilibrium, Competitive Equilibrium | BNE, Perfect Bayesian Equilibrium, Type-Contingent Equilibrium |
| ที่เกี่ยวข้อง | 4 | 4 |
| สรุป≠ | 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. |
| ScholarGateชุดข้อมูล ↗ |
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