Search results for "multiagent system"

showing 10 items of 108 documents

A Predictive Approach for the Efficient Distribution of Agent-Based Systems on a Hybrid-Cloud

2018

International audience; Hybrid clouds are increasingly used to outsource non-critical applications to public clouds. However, the main challenge within such environments, is to ensure a cost-efficient distribution of the systems between the resources that are on/off premises. For Multi Agent Systems (MAS), this challenge is deepened due to irregular workload progress and intensive communication between the agents, which may result in high computing and data transfer costs. Thus, in this paper we propose a generic framework for adaptive cost-efficient deployment of MAS with a special focus on hybrid clouds. The framework is based mainly on the use of a performance evaluation process that con…

Computer Networks and Communicationsbusiness.industryProcess (engineering)Computer scienceAgent-Based SystemDistributed computingMulti-agent systemDeployment020206 networking & telecommunicationsCloud computingWorkload02 engineering and technologyOutsourcingHardware and ArchitectureSoftware deployment[INFO.INFO-MA]Computer Science [cs]/Multiagent Systems [cs.MA]Prediction ProcessGraph partitioning algorithm0202 electrical engineering electronic engineering information engineering020201 artificial intelligence & image processingMetricsState (computer science)Hybrid CloudbusinessSoftware
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Recursive and bargaining values

2021

Abstract We introduce two families of values for TU-games: the recursive and bargaining values. Bargaining values are obtained as the equilibrium payoffs of the symmetric non-cooperative bargaining game proposed by Hart and Mas-Colell (1996). We show that bargaining values have a recursive structure in their definition, and we call this property recursiveness. All efficient, linear, and symmetric values that satisfy recursiveness are called recursive values. We generalize the notions of potential, and balanced contributions property, to characterize the family of recursive values. Finally, we show that if a time discount factor is considered in the bargaining model, every bargaining value h…

Computer Science::Computer Science and Game TheoryDiscountingSociologia matemàticaProperty (philosophy)ComputingMilieux_THECOMPUTINGPROFESSIONSociology and Political ScienceGeneral Social SciencesComputingMethodologies_ARTIFICIALINTELLIGENCEEconomia socialComputer Science::Multiagent SystemsComputingMilieux_COMPUTERSANDSOCIETYMatemàtica financeraEconomia Mètodes estadísticsStatistics Probability and UncertaintyValue (mathematics)Mathematical economicsGeneral PsychologyMathematics
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Stackelberg-Cournot and Cournot equilibria in a mixed markets exchange economy

2012

In this note, we compare two strategic general equilibrium concepts: the Stackelberg-Cournot equilibrium and the Cournot equilibrium. We thus consider a market exchange economy including atoms and a continuum of traders, who behave strategically. We show that, when the preferences of the small traders are represented by Cobb-Douglas utility functions and the atoms have the same utility functions and endowments, the Stackelberg-Cournot and the Cournot equilibrium equilibria coincide if and only if the followers’ best responses functions have a zero slope at the SCE.

Computer Science::Computer Science and Game TheoryStackelberg-CournotGeneral equilibrium theoryContinuum (topology)05 social sciencesEconomyCournot competition[SHS.ECO]Humanities and Social Sciences/Economics and FinanceComputer Science::Multiagent SystemsNonlinear Sciences::Adaptation and Self-Organizing SystemsMarket exchange0502 economics and business[No keyword available]EconomicsStackelberg competitionExchange economy[ SHS.ECO ] Humanities and Social Sciences/Economies and finances050207 economics[SHS.ECO] Humanities and Social Sciences/Economics and FinanceMathematical economicsComputingMilieux_MISCELLANEOUS050205 econometrics
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"Table 24" of "Measurement of event shape and inclusive distributions at s**(1/2) = 130-GeV and 136-GeV."

1997

3-jet rate for the Jade Algorithm.

Computer Science::Multiagent Systems133.0E+ E- --> 3JETAstrophysics::High Energy Astrophysical PhenomenaE+ E- ScatteringIntegrated Cross SectionExclusiveHigh Energy Physics::ExperimentJet ProductionCross SectionSIGComputer Science::Distributed Parallel and Cluster Computing
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Finite-Time Distributed Energy-to-Peak Control for Uncertain Multiagent Systems

2014

Published version of an article in the journal: Abstract and Applied Analysis. Also available from the publisher at: http://dx.doi.org/10.1155/2014/260201 Open Access This paper investigates the finite-time distributed L2-L∞ consensus control problem of multiagent systems with parameter uncertainties. The relative states of neighboring agents are used to construct the control law and some agents know their own states. By substituting the control input into multiagent systems, an augmented closed-loop system is obtained. Then, we analyze its finite-time boundedness (FTB) and finite-time L2-L∞ performance. A sufficient condition for the existence of the designed controller is given with the f…

Computer Science::Multiagent SystemsArticle SubjectApplied Mathematicslcsh:MathematicsAnalysis; Applied Mathematicslcsh:QA1-939VDP::Mathematics and natural science: 400::Mathematics: 410::Analysis: 411AnalysisAbstract and Applied Analysis
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Calibrating a Motion Model Based on Reinforcement Learning for Pedestrian Simulation

2012

In this paper, the calibration of a framework based in Multi-agent Reinforcement Learning (RL) for generating motion simulations of pedestrian groups is presented. The framework sets a group of autonomous embodied agents that learn to control individually its instant velocity vector in scenarios with collisions and friction forces. The result of the process is a different learned motion controller for each agent. The calibration of both, the physical properties involved in the motion of our embodied agents and the corresponding dynamics, is an important issue for a realistic simulation. The physics engine used has been calibrated with values taken from real pedestrian dynamics. Two experime…

Computer Science::Multiagent SystemsComputer scienceDynamics (mechanics)DiagramComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONCalibrationProcess (computing)Reinforcement learningMotion controllerPhysics engineSimulationMotion (physics)
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"Table 30" of "Tuning and test of fragmentation models based on identified particles and precision event shape data."

1996

Differential 3-jet rate for the JADE Algorithm. Corrected to final state particles. YCUT is the jet finding cutt-off parameter.

Computer Science::Multiagent SystemsDN/DSIGE+ E- --> 3JETAstrophysics::High Energy Astrophysical PhenomenaE+ E- ScatteringExclusiveHigh Energy Physics::Experiment91.2Single Differential DistributionJet Production
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"Table 23" of "Measurement of event shape and inclusive distributions at s**(1/2) = 130-GeV and 136-GeV."

1997

2-jet rate for the Jade Algorithm.

Computer Science::Multiagent SystemsDijet Production133.0Astrophysics::High Energy Astrophysical PhenomenaE+ E- ScatteringIntegrated Cross SectionExclusiveHigh Energy Physics::ExperimentJet ProductionE+ E- --> 2JETCross SectionSIGComputer Science::Distributed Parallel and Cluster Computing
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"Table 28" of "Tuning and test of fragmentation models based on identified particles and precision event shape data."

1996

Differential 2-jet rate for the JADE Algorithm. Corrected to final state particles. YCUT is the jet finding cutt-off parameter.

Computer Science::Multiagent SystemsDijet ProductionDN/DSIGAstrophysics::High Energy Astrophysical PhenomenaE+ E- ScatteringExclusiveHigh Energy Physics::Experiment91.2Single Differential DistributionJet ProductionE+ E- --> 2JET
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Lazy consensus for networks with unknown but bounded disturbances

2007

We consider stationary consensus protocols for networks of dynamic agents. The measure of the neighbors' state is affected by Unknown But Bounded disturbances. Here the main contribution is the formulation and solution of what we call the isin-consensus problem, where the states are required to converge in a tube of ray isin asymptotically or in finite time.

Computer Science::Multiagent SystemsDynamic agentsLazy consensusComputer scienceControl theoryMulti-agent systemBounded functionDynamic agents; Lazy consensus; Stationary consensus protocolsState (functional analysis)Stationary consensus protocolsTopologyMeasure (mathematics)Uniform consensus2007 46th IEEE Conference on Decision and Control
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