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নির্বাচিত পদ্ধতিগুলো পাশাপাশি পর্যালোচনা করুন; যে সারিগুলোয় পার্থক্য আছে সেগুলো চিহ্নিত করা হয়।

শেপলি ভ্যালু×Top Trading Cycles×
ক্ষেত্রখেলা তত্ত্বখেলা তত্ত্ব
পরিবারMachine learningMachine learning
উদ্ভবের বছর19531974
প্রবর্তকLloyd ShapleyLloyd Shapley, Herbert Scarf
ধরনalgorithmalgorithm
মৌলিক উৎসShapley, L. S. (1953). A value for n-person games. In H. W. Kuhn & A. W. Tucker (Eds.), Contributions to the Theory of Games II (pp. 307-317). Princeton University Press. DOI ↗Shapley, L. S., & Scarf, H. (1974). On cores and indivisibility. Journal of Mathematical Economics, 1(1), 23-37. DOI ↗
অপর নামFair Division, Cooperative Game Solution, Dividend VectorTTC, Shapley-Scarf Algorithm, Efficient Exchange
সম্পর্কিত44
সারসংক্ষেপThe Shapley Value is a solution concept for coalition games that distributes total payoff fairly among players based on their marginal contributions to coalitions. Introduced by Lloyd Shapley in 1953, the Shapley Value is the unique payoff distribution that satisfies four intuitive axioms: efficiency (total payoff is distributed), symmetry (identical players receive equal payoff), null player (players contributing nothing receive nothing), and additivity across games.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.
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ScholarGateপদ্ধতির তুলনা করুন: Shapley Value · Top Trading Cycles. 2026-06-19 তারিখে সংগৃহীত, উৎস: https://scholargate.app/bn/compare