পদ্ধতির তুলনা করুন
নির্বাচিত পদ্ধতিগুলো পাশাপাশি পর্যালোচনা করুন; যে সারিগুলোয় পার্থক্য আছে সেগুলো চিহ্নিত করা হয়।
| Top Trading Cycles× | বেইসিয়ান ন্যাশ ইক্যুইলিব্রিয়াম× | |
|---|---|---|
| ক্ষেত্র | খেলা তত্ত্ব | খেলা তত্ত্ব |
| পরিবার | Machine learning | Machine learning |
| উদ্ভবের বছর≠ | 1974 | 1967 |
| প্রবর্তক≠ | Lloyd Shapley, Herbert Scarf | John Harsanyi |
| ধরন | algorithm | algorithm |
| মৌলিক উৎস≠ | Shapley, L. S., & Scarf, H. (1974). On cores and indivisibility. Journal of Mathematical Economics, 1(1), 23-37. 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 | TTC, Shapley-Scarf Algorithm, Efficient Exchange | BNE, Perfect Bayesian Equilibrium, Type-Contingent Equilibrium |
| সম্পর্কিত | 4 | 4 |
| সারসংক্ষেপ≠ | Top Trading Cycles (TTC) is an algorithm for allocating indivisible goods to agents such that the allocation is Pareto efficient and individually rational. Developed by Lloyd Shapley and Herbert Scarf in 1974, the algorithm identifies cycles of trades in a preference digraph, executes those trades, and iteratively repeats until no further trades are beneficial. TTC is widely used in kidney exchange and housing allocation due to its efficiency and implementation simplicity. | 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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