Search results for "Computer Science::Computer Science and Game Theory"

showing 10 items of 87 documents

Nash codes for noisy channels

2012

This paper studies the stability of communication protocols that deal with transmission errors. We consider a coordination game between an informed sender and an uninformed decision maker, the receiver, who communicate over a noisy channel. The sender's strategy, called a code, maps states of nature to signals. The receiver's best response is to decode the received channel output as the state with highest expected receiver payoff. Given this decoding, an equilibrium or "Nash code" results if the sender encodes every state as prescribed. We show two theorems that give sufficient conditions for Nash codes. First, a receiver-optimal code defines a Nash code. A second, more surprising observati…

FOS: Computer and information sciencesComputer Science::Computer Science and Game TheoryTheoretical computer scienceComputer scienceInformation Theory (cs.IT)Computer Science - Information TheoryStochastic gamejel:C72jel:D82Stability (learning theory)Data_CODINGANDINFORMATIONTHEORYManagement Science and Operations Researchsender-receiver game communication noisy channel91A28Computer Science ApplicationsComputer Science - Computer Science and Game TheoryBest responseCode (cryptography)Coordination gameQA MathematicsDecoding methodsCommunication channelComputer Science and Game Theory (cs.GT)Computer Science::Information Theory
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Quantum-over-classical Advantage in Solving Multiplayer Games

2020

We study the applicability of quantum algorithms in computational game theory and generalize some results related to Subtraction games, which are sometimes referred to as one-heap Nim games. In quantum game theory, a subset of Subtraction games became the first explicitly defined class of zero-sum combinatorial games with provable separation between quantum and classical complexity of solving them. For a narrower subset of Subtraction games, an exact quantum sublinear algorithm is known that surpasses all deterministic algorithms for finding solutions with probability $1$. Typically, both Nim and Subtraction games are defined for only two players. We extend some known results to games for t…

FOS: Computer and information sciencesQuantum PhysicsComputer Science - Computational ComplexityComputer Science::Computer Science and Game TheoryComputer Science - Computer Science and Game TheoryComputingMilieux_PERSONALCOMPUTINGFOS: Physical sciencesComputational Complexity (cs.CC)Quantum Physics (quant-ph)Computer Science and Game Theory (cs.GT)
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Another Look at Momentum Crashes

2015

This paper studies the profitability of a selection of prominent momentum-based strategies in the European Monetary Union. In contrast to past examples documenting the lack of profitability of unconditional price momentum in the most recent decade, the current research finds that unconditional price momentum yielded significant positive payoffs. There is evidence of option-like behavior for strategies based on intermediate past performance. Surprisingly, there is no such evidence for the momentum strategy based on recent past performance .

Market integrationComputer Science::Computer Science and Game TheoryMomentum (finance)Financial economicsFinancial crisisEconomicsProfitability indexEuropean monetary unionEuropean debt crisisSSRN Electronic Journal
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Quasi-nash equilibria for non-convex distributed power allocation games in cognitive radios

2013

In this paper, we consider a sensing-based spectrum sharing scenario in cognitive radio networks where the overall objective is to maximize the sum-rate of each cognitive radio user by optimizing jointly both the detection operation based on sensing and the power allocation, taking into account the influence of the sensing accuracy and the interference limitation to the primary users. The resulting optimization problem for each cognitive user is non-convex, thus leading to a non-convex game, which presents a new challenge when analyzing the equilibria of this game where each cognitive user represents a player. In order to deal with the non-convexity of the game, we use a new relaxed equilib…

Mathematical optimizationComputer Science::Computer Science and Game TheoryOptimization problemApplied MathematicsDistributed power020302 automobile design & engineering020206 networking & telecommunications02 engineering and technologyComputer Science ApplicationsTelecomunicaciósymbols.namesakeCognitive radio0203 mechanical engineeringNash equilibriumVariational inequality0202 electrical engineering electronic engineering information engineeringsymbolsLinear independenceElectrical and Electronic EngineeringPerformance improvementInterior point methodMathematicsIEEE Transactions on Wireless Communications
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Dynamic Coalitional TU Games: Distributed Bargaining among Players' Neighbors

2013

We consider a sequence of transferable utility (TU) games where, at each time, the characteristic function is a random vector with realizations restricted to some set of values. The game differs from other ones in the literature on dynamic, stochastic or interval valued TU games as it combines dynamics of the game with an allocation protocol for the players that dynamically interact with each other. The protocol is an iterative and decentralized algorithm that offers a paradigmatic mathematical description of negotiation and bargaining processes. The first part of the paper contributes to the definition of a robust (coalitional) TU game and the development of a distributed bargaining protoc…

Mathematical optimizationComputer Science::Computer Science and Game TheorySequential gameComputer scienceCombinatorial game theoryExample of a game without a valueFOS: MathematicsSimultaneous gameElectrical and Electronic EngineeringTransferable utilityMathematics - Optimization and ControlGame theoryBondareva–Shapley theoremBargaining problemNon-cooperative gameUtility theoryStochastic gameComputingMilieux_PERSONALCOMPUTINGScreening gameComputer Science ApplicationsBargaining processCore (game theory)Control and Systems EngineeringOptimization and Control (math.OC)Repeated gameSettore MAT/09 - Ricerca OperativaoptimizationMathematical economicsGame theory
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Strong Quantum Solutions in Conflicting Interest Bayesian Games

2017

Quantum entanglement has been recently demonstrated as a useful resource in conflicting-interest games of incomplete information between two players, Alice and Bob [Pappa et al., Phys. Rev. Lett. 114, 020401 (2015)]. The general setting for such games is that of correlated strategies where the correlation between competing players is established through a trusted common adviser; however, players need not reveal their input to the adviser. So far, the quantum advantage in such games has been revealed in a restricted sense. Given a quantum correlated equilibrium strategy, one of the players can still receive a higher than quantum average payoff with some classically correlated equilibrium str…

PhysicsClass (set theory)Correlated equilibriumComputer Science::Computer Science and Game TheoryQuantum PhysicsBayesian probabilityStochastic gameFOS: Physical sciencesQuantum entanglement01 natural sciences010305 fluids & plasmasAlice and BobComplete information0103 physical sciencesStatistical physics010306 general physicsQuantum Physics (quant-ph)Mathematical economicsQuantum
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Pool punishment in public goods games: How do sanctioners’ incentives affect us?

2021

Abstract Centralized sanctioning in social dilemmas has been shown to increase efficiency with respect to standard decentralized peer punishment. In this context, we explore the impact of sanctioners’ motivations through their payoff scheme, not only on their actions but also on the actions of the monitored individuals. To do so, we compare the implementation of two different payoff schemes for the monitor in a centralized sanctioning framework: (i) a fixed payoff scheme and (ii) a variable payoff scheme contingent on the level of cooperation achieved. We find that providing the sanctioner with a contingent payoff has a negative impact on contributions. This occurs although sanctioners impl…

Physics::Physics and SocietyComputer Science::Computer Science and Game Theory0303 health sciencesOrganizational Behavior and Human Resource ManagementEconomics and EconometricsPunishment (psychology)05 social sciencesStochastic gameContext (language use)Social dilemmaExperimental economicsPublic good0506 political scienceMicroeconomics03 medical and health sciencesIncentive050602 political science & public administrationEconomicsPublic goods gameQuantitative Biology::Populations and Evolution030304 developmental biologyJournal of Economic Behavior & Organization
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SEA presidential address: Group connectivity and cooperation

2011

A model-free methodology is used for the first time to estimate a daily volatility index (VIBEX-NEW) for the Spanish financial market.We use a public data set of daily option prices to compute this index and showthat daily changes in VIBEXNEW display a negative, tight contemporaneous relationship with IBEX daily returns, contrary to other common volatility indicators, as an implied volatility indicator or a GARCH(1,1) conditional volatility model. This relationship is approximately symmetric to the sign on VIBEX-NEW changes and asymmetric to the IBEX-35 returns sign, which make it clearly a suitable volatility index for the Spanish stock market. We also examine the relationship between curr…

Physics::Physics and SocietyComputer Science::Computer Science and Game TheoryTheoretical computer sciencemodel-based volatility indexGeneralizationBinary relationComputer scienceGroup (mathematics)G13Evolutionäre SpieltheorieLeverage effectG15leverage effectGefangenendilemmaMoore neighborhoodDilemmaforecasting volatilitymodel-free volatility indexPresidential addressddc:330Graph (abstract data type)C53General Economics Econometrics and Financerisk
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Stock markets and quantum dynamics: A second quantized description

2009

In this paper we continue our description of stock markets in terms of some non-abelian operators which are used to describe the portfolio of the various traders and other observable quantities. After a first prototype model with only two traders, we discuss a more realistic model of market involving an arbitrary number of traders. For both models we find approximated solutions for the time evolution of the portfolio of each trader. In particular, for the more realistic model, we use the stochastic limit approach and a fixed point like approximation. © 2007 Elsevier B.V. All rights reserved

Physics::Physics and SocietyStatistics and ProbabilitySecond quantizationComputer Science::Computer Science and Game TheoryQuantitative Finance - Trading and Market MicrostructureQuantum dynamicQuantum dynamicsTime evolutionObservableStock marketsFixed pointCondensed Matter PhysicsSecond quantizationTrading and Market Microstructure (q-fin.TR)FOS: Economics and businessComputer Science::Multiagent SystemsComputer Science::Computational Engineering Finance and SciencePortfolioStatistical physicsSettore MAT/07 - Fisica MatematicaMathematical economicsStock (geology)MathematicsPhysica A: Statistical Mechanics and its Applications
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Two-Qubit Pure Entanglement as Optimal Social Welfare Resource in Bayesian Game

2017

Entanglement is of paramount importance in quantum information theory. Its supremacy over classical correlations has been demonstrated in numerous information theoretic protocols. Here we study possible adequacy of quantum entanglement in Bayesian game theory, particularly in social welfare solution (SWS), a strategy which the players follow to maximize the sum of their payoffs. Given a multi-partite quantum state as an advice, players can come up with several correlated strategies by performing local measurements on their parts of the quantum state. A quantum strategy is called quantum-SWS if it is advantageous over a classical equilibrium (CE) strategy in the sense that none of the player…

Quantum PhysicsComputer Science::Computer Science and Game TheoryPhysics and Astronomy (miscellaneous)Computer scienceFOS: Physical sciencesQuantum entanglementState (functional analysis)01 natural scienceslcsh:QC1-999Atomic and Molecular Physics and Optics010305 fluids & plasmasBayesian gameQuantum stateQubit0103 physical sciencesQuantum informationQuantum Physics (quant-ph)010306 general physicsAdvice (complexity)Mathematical economicsQuantumlcsh:PhysicsQuantum
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