Search results for " Multi-Agent Systems"

showing 10 items of 14 documents

Tracking Control of Networked Multi-Agent Systems Under New Characterizations of Impulses and Its Applications in Robotic Systems

2016

This paper examines the problem of tracking control of networked multi-agent systems with multiple delays and impulsive effects, whose results are applied to mechanical robotic systems. Four kinds of impulsive effects are taken into account: 1) both the strengths of impulsive effects and the number of nodes injected with impulses are time dependent; 2) the strengths of impulsive effects occur according to certain probabilities and the number of nodes under impulsive control is time varying; 3) the strengths of impulses are time varying, whereas the number of nodes with impulses takes place according to certain probabilities; 4) both the strengths of impulses and the number of nodes with imp…

0209 industrial biotechnologyEngineeringTracking controlControl (management)02 engineering and technologyTracking (particle physics)robotic systems020901 industrial engineering & automationControl theory0202 electrical engineering electronic engineering information engineeringmulti-agent systemsElectrical and Electronic EngineeringRobot kinematicsbusiness.industryStochastic processMulti-agent systemtime-delaysComputer Science Applications1707 Computer Vision and Pattern RecognitionControl engineeringRobotic systemsLeader-following consensusControl and Systems EngineeringControl systemLeader-following consensus; multi-agent systems; robotic systems; time-delays; Tracking control; Control and Systems Engineering; Computer Science Applications1707 Computer Vision and Pattern Recognition; Electrical and Electronic Engineering020201 artificial intelligence & image processingbusinessIEEE Transactions on Industrial Electronics
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DRESS: A Distributed RMS Evaluation Simulation Software

2020

Distributed environments consist of a huge number of entities that cooperate to achieve complex goals. When interactions occur between unknown parties, intelligent techniques for estimating agent reputations are required. Reputation management systems (RMS's) allow agents to perform such estimation in a cooperative way. In particular, distributed RMS's exploit feedbacks provided after each interaction and allow prediction of future behaviors of agents. Such systems, in contrast to centralized RMSs, are sensitive to fake information injected by malicious users; thus, predicting the performance of a distributed RMS is a very challenging task. Although many existing works have addressed some c…

Computer architectureComputer scienceAgent-based Simulation Multi-agent Systems Distributed RMSs020204 information systemsMulti-agent system0202 electrical engineering electronic engineering information engineering020201 artificial intelligence & image processingDecision Sciences (miscellaneous)02 engineering and technologycomputer.software_genrecomputerInformation SystemsSimulation softwareInternational Journal of Intelligent Information Technologies
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Multi-agent Systems for Estimating Missing Information in Smart Cities

2019

International audience; Smart cities aim at improving the quality of life of citizens. To do this, numerous ad-hoc sensors need to be deployed in a smart city to monitor the environmental state. Even if nowadays sensors are becoming more and more cheap their installation and maintenance costs increase rapidly with their number. This paper makes an inventory of the dimensions required for designing an intelligent system to support smart city initiatives. Then we propose a multi-agent based solution that uses a limited number of sensors to estimate at runtime missing information in smart cities using a limited number of sensors.

Computer scienceMulti-agent system020206 networking & telecommunications02 engineering and technologyComputer securitycomputer.software_genre[INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI]Missing Information EstimationSmart city11. Sustainability0202 electrical engineering electronic engineering information engineeringSmart City020201 artificial intelligence & image processingState (computer science)Cooperative Multi-agent Systemscomputer
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Production Planning in Production Networks: Models for Medium and Short-term Planning

2008

Distributed production networks are structures which are considered able to provide the organisational agility and efficiency necessary to compete in the global market. The performance of such organisations heavily depends on the ability of those involved in the network to coordinate their activities. Two approaches are available for managing complex distributed production networks: a centralised approach, where a unique entity (the planner, for instance) has all the necessary information to make planning decisions for the entire network; or a decentralised approach where each entity in the network has the necessary information and knowledge to make autonomous planning decisions, while the …

Distributed Decision Making Manufacturing Multi-agent Systems Negotiation Production Networks Production Planning Simulation algorithms productionSettore ING-IND/35 - Ingegneria Economico-GestionaleSettore ING-IND/16 - Tecnologie E Sistemi Di Lavorazione
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Reinforcement Learning Your Way: Agent Characterization through Policy Regularization

2022

The increased complexity of state-of-the-art reinforcement learning (RL) algorithms has resulted in an opacity that inhibits explainability and understanding. This has led to the development of several post hoc explainability methods that aim to extract information from learned policies, thus aiding explainability. These methods rely on empirical observations of the policy, and thus aim to generalize a characterization of agents’ behaviour. In this study, we have instead developed a method to imbue agents’ policies with a characteristic behaviour through regularization of their objective functions. Our method guides the agents’ behaviour during learning, which results in a…

FOS: Computer and information sciencesComputer Science - Machine LearningArtificial Intelligence (cs.AI)Computer Science - Artificial Intelligenceexplainable AI; multi-agent systems; deterministic policy gradientsGeneral Earth and Planetary SciencesVDP::Teknologi: 500::Informasjons- og kommunikasjonsteknologi: 550General Environmental ScienceMachine Learning (cs.LG)
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An MAS-based subjective model for indoor adaptive thermal comfort

2015

The achievement of high level personalized sets of comfort parameters is contemplated within the more general context of the so-called smart buildings, where people, by means of the new communication technologies, become active actors to the process of the singling out and control of the best indoor conditions. This Dynamic Intelligence approach would usefully contribute to a better energy efficient and environmental friendly management of buildings. Multi-Agent schemes are suitable tools in this aim, since they are able to manage the user-building-plant system where the adaptivity of people to the indoor conditions is suitably achieved. In this paper a contribution to a development of the …

Fluid Flow and Transfer ProcessesEngineeringArchitectural engineeringSettore ING-IND/11 - Fisica Tecnica AmbientaleEnvironmental Engineeringbusiness.industryProcess (engineering)Thermal Comfort Subjective and Adaptive Approach Multi-Agent Systems Adaptive FactorsControl (management)Thermal comfortContext (language use)Building and ConstructionbusinessBuilding automationScience and Technology for the Built Environment
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Robust control in uncertain multi-inventory systems and consensus problems

2008

Abstract We consider a continuous time linear multi–inventory system with unknown demands bounded within ellipsoids and controls bounded within polytopes. We address the problem of ∈-stabilizing the inventory since this implies some reduction of the inventory costs. The main results are certain conditions under which ∈-stabilizability is possible through a saturated linear state feedback control. The idea of this approach is similar to the consensus problem solution for a network of continuous time dynamic agents, where each agent evolves according to a first order dynamics has bounded control and it is subject to unknown but bounded disturbances. In this context, we derive conditions under…

LMI; robust control; inventory systems; consensusMathematical optimizationMulti-agent systemMulti-agent systemsPolytopeContext (language use)EllipsoidCooperative systemsReduction (complexity)inventory systemsConsensusSettore ING-INF/04 - AutomaticaconsensusControl theoryBounded functionLMI robust control inventory systems consensusLMIRobust controlSettore MAT/09 - Ricerca OperativaDistributed control and estimationrobust controlCooperative systems; Distributed control and estimation; Multi-agent systemsMathematics
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A genome based vision of multi-agent systems

2011

A set of software agents can be programmed to provide a large but finite set of services, often defined during design phase. After an evolution of the external environment, the pre-defined services could be unable to satisfy the requested quality. In this work it is proposed an agent framework capable to adapt the agents in order to improve the quality of services provided by an agent society in correspondence with a modification of the external environment. These agents are based on a biologically inspired structure (genome), that de- fines all their behaviors and knowledges. The effectiveness of the approach is proved by a set of successful experimental results

Settore ING-INF/05 - Sistemi Di Elaborazione Delle InformazioniAgent Models and ArchitecturesAdaptationAgent models and architectures Multi-agent systems adaptationMulti-Agent Systems
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Agile PASSI: An agile process for designing agents

2006

We have been developing robotic multi-agent systems for several years according to a well defined methodology (PASSI) obtaining good results, but day by day needs of a more versatile approach for designing software in a research context suggested us to find out a new methodology. A solution to our problems is represented by the Agile version of the PASSI methodology we present in this paper. We built this agile methodology by exploiting all the experiences done with conventional PASSI; it is supported by specific tools allowing patterns reuse and automatic production of some design documentation.

Settore ING-INF/05 - Sistemi Di Elaborazione Delle InformazioniAgents Agile PASSI multi-agent systems Agile methodology
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Distributed Consensus in Noncooperative Inventory Games

2009

This paper deals with repeated nonsymmetric congestion games in which the players cannot observe their payoffs at each stage. Examples of applications come from sharing facilities by multiple users. We show that these games present a unique Pareto optimal Nash equilibrium that dominates all other Nash equilibria and consequently it is also the social optimum among all equilibria, as it minimizes the sum of all the players’ costs. We assume that the players adopt a best response strategy. At each stage, they construct their belief concerning others probable behavior, and then, simultaneously make a decision by optimizing their payoff based on their beliefs. Within this context, we provide a …

TheoryofComputation_MISCELLANEOUSComputer Science::Computer Science and Game TheoryInformation Systems and ManagementGeneral Computer ScienceManagement Science and Operations ResearchIndustrial and Manufacturing Engineeringsymbols.namesakeSettore ING-INF/04 - AutomaticaGame theory; Multi-agent systems; Inventory; Consensus protocolsEconomicsRisk dominanceGame theoryMulti-agent systemsStochastic gameInventoryComputingMilieux_PERSONALCOMPUTINGTheoryofComputation_GENERALRationalizabilityConsensus protocols; Game theory; Inventory; Multi-agent systemsConsensus protocolsMulti-agent systemNash equilibriumEquilibrium selectionModeling and SimulationBest responsesymbolsRepeated gameEpsilon-equilibriumSettore MAT/09 - Ricerca OperativaMathematical economics
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