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Αξία Shapley×Κύκλοι Κορυφαίων Συναλλαγών×
ΠεδίοΘεωρία ΠαιγνίωνΘεωρία Παιγνίων
ΟικογένειαMachine learningMachine learning
Έτος προέλευσης19531974
ΔημιουργόςLloyd ShapleyLloyd Shapley, Herbert Scarf
Τύποςalgorithmalgorithm
Θεμελιώδης πηγήShapley, 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 ↗
Εναλλακτικές ονομασίεςFair Division, Cooperative Game Solution, Dividend VectorTTC, Shapley-Scarf Algorithm, Efficient Exchange
Συναφείς44
ΣύνοψηThe 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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ScholarGateΣύγκριση μεθόδων: Shapley Value · Top Trading Cycles. Ανακτήθηκε στις 2026-06-19 από https://scholargate.app/el/compare