6533b7d3fe1ef96bd1260292
RESEARCH PRODUCT
Robust dynamic cooperative games
Judith B. TimmerDario Bausosubject
Statistics and ProbabilityBondareva–Shapley theoremEconomics and EconometricsNon-cooperative gameComputer Science::Computer Science and Game TheoryMSC-91A12Sequential gameMSC-91A25Computer scienceCooperative games Dynamic games Joint replenishmentCombinatorial game theoryTheoryofComputation_GENERALCooperative game theoryMETIS-263773Computer Science::Multiagent SystemsMathematics (miscellaneous)Example of a game without a valueEWI-15215Repeated gameIR-62781Simultaneous gameStatistics Probability and UncertaintyMathematical economicsSocial Sciences (miscellaneous)description
Classical cooperative game theory is no longer a suitable tool for those situations where the values of coalitions are not known with certainty. Recent works address situations where the values of coalitions are modelled by random variables. In this work we still consider the values of coalitions as uncertain, but model them as unknown but bounded disturbances. We do not focus on solving a specific game, but rather consider a family of games described by a polyhedron: each point in the polyhedron is a vector of coalitions’ values and corresponds to a specific game. We consider a dynamic context where while we know with certainty the average value of each coalition on the long run, at each time such a value is unknown and fluctuates within the bounded polyhedron. Then, it makes sense to define “robust��? allocation rules, i.e., allocation rules that bound, within a pre-defined threshold, a so-called complaint vector while guaranteeing a certain average (over time) allocation vector. We also present as motivating example a joint replenishment application.
year | journal | country | edition | language |
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2009-03-01 | International journal of game theory |