পদ্ধতির তুলনা করুন
নির্বাচিত পদ্ধতিগুলো পাশাপাশি পর্যালোচনা করুন; যে সারিগুলোয় পার্থক্য আছে সেগুলো চিহ্নিত করা হয়।
| গেল-শেপলি অ্যালগরিদম× | বেইসিয়ান ন্যাশ ইক্যুইলিব্রিয়াম× | |
|---|---|---|
| ক্ষেত্র | খেলা তত্ত্ব | খেলা তত্ত্ব |
| পরিবার | Machine learning | Machine learning |
| উদ্ভবের বছর≠ | 1962 | 1967 |
| প্রবর্তক≠ | David Gale, Lloyd Shapley | John Harsanyi |
| ধরন | algorithm | algorithm |
| মৌলিক উৎস≠ | Gale, D., & Shapley, L. S. (1962). College admissions and the stability of marriage. The American Mathematical Monthly, 69(1), 9-15. 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 ↗ |
| অপর নাম | Stable Marriage Problem, Deferred Acceptance, Two-Sided Matching | BNE, Perfect Bayesian Equilibrium, Type-Contingent Equilibrium |
| সম্পর্কিত | 4 | 4 |
| সারসংক্ষেপ≠ | The Gale-Shapley algorithm solves the stable marriage problem: how to match two groups (e.g., medical residents to hospitals, students to schools) such that no pair prefers each other to their assigned partners. Introduced by David Gale and Lloyd Shapley in 1962, the algorithm guarantees a stable matching in polynomial time through a deferred acceptance process where one side proposes sequentially and the other side responds, revising choices as better options arrive. | 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. |
| ScholarGateডেটাসেট ↗ |
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