Search results for "Repeated game"

showing 4 items of 24 documents

Noncooperative dynamic games for inventory applications: A consensus approach

2008

We focus on a finite horizon noncooperative dynamic game where the stage cost of a single player associated to a decision is a monotonically nonincreasing function of the total number of players making the same decision. For the single-stage version of the game, we characterize Nash equilibria and derive a consensus protocol that makes the players converge to the unique Pareto optimal Nash equilibrium. Such an equilibrium guarantees the interests of the players and is also social optimal in the set of Nash equilibria. For the multi-stage version of the game, we present an algorithm that converges to Nash equilibria, unfortunately not necessarily Pareto optimal. The algorithm returns a seque…

TheoryofComputation_MISCELLANEOUSDynamic gamesComputer Science::Computer Science and Game TheoryMathematical optimizationCorrelated equilibriumSequential gameConsensus ProtocolsComputer scienceA-priori; Consensus protocols; Dynamic games; Finite horizons; Inventory; Inventory systems; Joint decisions; Multi stages; Nash equilibrium; Pareto-optimal; Single stages; Unilateral improvementsSymmetric equilibriumOutcome (game theory)Joint decisionsNash equilibriumFinite horizonsMulti stagessymbols.namesakeBayesian gameSettore ING-INF/04 - AutomaticaPareto-optimalA-prioriCoordination gameFolk theoremPrice of stabilityRisk dominanceNon-credible threatConsensus Protocols Dynamic Programming Game Theory InventoryInventory systemsTraveler's dilemmaNormal-form gameStochastic gameInventoryComputingMilieux_PERSONALCOMPUTINGTheoryofComputation_GENERALMinimaxConsensus protocolsEquilibrium selectionNash equilibriumBest responseSingle stagesRepeated gamesymbolsEpsilon-equilibriumSettore MAT/09 - Ricerca OperativaSolution conceptDynamic Programming Game TheoryUnilateral improvementsMathematical economicsGame theoryConsensus Protocols; Dynamic Programming Game Theory; Inventory
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Bounded Computational Capacity Equilibrium

2010

We study repeated games played by players with bounded computational power, where, in contrast to Abreu and Rubisntein (1988), the memory is costly. We prove a folk theorem: the limit set of equilibrium payoffs in mixed strategies, as the cost of memory goes to 0, includes the set of feasible and individually rational payoffs. This result stands in sharp contrast to Abreu and Rubisntein (1988), who proved that when memory is free, the set of equilibrium payoffs in repeated games played by players with bounded computational power is a strict subset of the set of feasible and individually rational payoffs. Our result emphasizes the role of memory cost and of mixing when players have bounded c…

TheoryofComputation_MISCELLANEOUSEconomics and EconometricsComputer Science::Computer Science and Game TheoryBounded rationality automata complexity infnitely repeated games equilibrium.EconomiaOutcome (game theory)Set (abstract data type)Lexicographic preferences0502 economics and businessFOS: MathematicsFolk theoremMathematics - Optimization and ControlMathematicsFinite-state machine05 social sciencesProbability (math.PR)ComputingMilieux_PERSONALCOMPUTING050301 educationTheoryofComputation_GENERALBounded rationalityOptimization and Control (math.OC)Bounded functionRepeated game050206 economic theory0503 educationMathematical economicsMathematics - Probability
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Mean Field Linear Quadratic Games with Set Up Costs

2013

This paper studies linear quadratic games with set up costs monotonic on the number of active players, namely, players whose action is non-null. Such games arise naturally in joint replenishment inventory systems. Building upon a preliminary analysis of the properties of the best response strategies and Nash equilibria for the given game, the main contribution is the study of the same game under large population. We also analyze the influence of an additional disturbance in the spirit of the literature on H∞ control. Numerical illustrations are provided. © 2012 Springer Science+Business Media New York.

TheoryofComputation_MISCELLANEOUSStatistics and ProbabilityComputer Science::Computer Science and Game TheoryEconomics and EconometricsMathematical optimizationSequential gamedifferential games game theory control and optimizationJoint-replenishmentOutcome (game theory)symbols.namesakeMean field gamesGame theoryMathematicsMean field games; Linear quadratic differential games; Joint-replenishment[INFO.INFO-NI] Computer Science [cs]/Networking and Internet Architecture [cs.NI]Applied MathematicsNormal-form gameComputingMilieux_PERSONALCOMPUTINGoperational researchTheoryofComputation_GENERALScreening gameComputer Graphics and Computer-Aided DesignComputer Science ApplicationsComputational MathematicsComputational Theory and MathematicsNash equilibriumBest responseRepeated gamesymbolsLinear quadratic differential gamesSettore MAT/09 - Ricerca OperativaoptimizationGame theoryMathematical economicsDynamic Games and Applications
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Large Networks of Dynamic Agents: Consensus under Adversarial Disturbances

2012

This paper studies interactions among homogeneous social groups within the framework of large population games. Each group is represented by a network and the behavior described by a two-player repeated game. The contribution is three-fold. Beyond the idea of providing a novel two-level model with repeated games at a lower level and population games at a higher level, we also establish a mean field equilibrium and study state feedback best-response strategies as well as worst-case adversarial disturbances in that context.

education.field_of_studyTheoretical computer scienceSequential gameGame Theory; optimization; controlDistributed computingStochastic gamePopulationNormal-form gameComputingMilieux_PERSONALCOMPUTINGCombinatorial game theoryBayesian gameGame TheoryRepeated gameeducationGame theoryoptimizationcontrolMathematics
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