Search results for "Multi-Agent System"

showing 10 items of 154 documents

A Cooperative Multi-Agent System for Crowd Sensing Based Estimation in Smart Cities

2020

The concept of Smart City has spread as a solution to ensure better access to information and services to citizens, but also as a means to reduce the environmental footprint of cities. To this end, a continuous and wide observation of the environment is necessary to analyze information that enables government bodies to act on the environment appropriately. Moreover, a diffused acquisition of information requires adequate infrastructure and proper devices, which results in relevant installation and maintenance costs. Our proposal enables reducing the number of necessary sensors to be deployed while ensuring that information is available at any time and anywhere. We present the HybridIoT syst…

cooperative multi-agent systemsGeneral Computer ScienceComputer scienceContext (language use)02 engineering and technologycomputer.software_genre[INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI]missing information estimationIntelligent sensorSmart city11. Sustainability0202 electrical engineering electronic engineering information engineeringGeneral Materials ScienceComputingMilieux_MISCELLANEOUSGovernmentSmart cityEcological footprintMulti-agent systemGeneral Engineering020206 networking & telecommunicationsRisk analysis (engineering)13. Climate actionheterogeneous data integration020201 artificial intelligence & image processinglcsh:Electrical engineering. Electronics. Nuclear engineeringcomputerlcsh:TK1-9971Data integrationIEEE Access
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Data-driven Interactive Multiobjective Optimization : Challenges and a Generic Multi-agent Architecture

2020

In many decision making problems, a decision maker needs computer support in finding a good compromise between multiple conflicting objectives that need to be optimized simultaneously. Interactive multiobjective optimization methods have a lot of potential for solving such problems. However, the growth of complexity in problem formulations and the abundance of data bring new challenges to be addressed by decision makers and method developers. On the other hand, advances in the field of artificial intelligence provide opportunities in this respect. We identify challenges and propose directions of addressing them in interactive multiobjective optimization methods with the help of multiple int…

decision supportComputer science020209 energyCompromisemedia_common.quotation_subjectpäätöksentekopäätöksentukijärjestelmät02 engineering and technologycomputer.software_genreMulti-objective optimizationField (computer science)Data-drivenIntelligent agentcomputational intelligence0202 electrical engineering electronic engineering information engineeringmulti-agent systemsAgent architecturemultiple criteria optimizationGeneral Environmental Sciencemedia_commoninteractive methodsmonitavoiteoptimointiagentsRisk analysis (engineering)data-driven decision makinginteraktiivisuusälykkäät agentitGeneral Earth and Planetary Sciences020201 artificial intelligence & image processingcomputer
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Multi-Agent Based Energy Management in Microgrids Using MACSimJX

2019

Excessive growth in electricity consumption has been experienced over the past few years due to an increase in population around the world.This tends to increase the use of renewable energy and randomness of the load. So.it is important to improve the traditional methodologies and techniques applied on microgrid to make it more intelligent. In this paper, multi agent system is employed over autonomous microgrid framework to endorse its intelligence. The Multi-Agent system is simulated in Java Agent Development Environment (JADE) environment and matlab toolbox Simulink is used for the implementation of the microgrid model. Further, MACSimJX is used to communicate between the micro grid and a…

education.field_of_studyJavaEnergy managementComputer scienceProcess (engineering)business.industryDistributed computingMulti-agent systemPopulationJADE (programming language)Renewable energyMicrogrideducationbusinesscomputercomputer.programming_language2019 IEEE Student Conference on Research and Development (SCOReD)
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Opinion dynamics and stubbornness through mean-field games

2013

This paper provides a mean field game theoretic interpretation of opinion dynamics and stubbornness. The model describes a crowd-seeking homogeneous population of agents, under the influence of one stubborn agent. The game takes on the form of two partial differential equations, the Hamilton-Jacobi-Bellman equation and the Kolmogorov-Fokker-Planck equation for the individual optimal response and the population evolution, respectively. For the game of interest, we establish a mean field equilibrium where all agents reach epsilon-consensus in a neighborhood of the stubborn agent's opinion.

education.field_of_studyPartial differential equationControl and OptimizationDifferential equationMulti-agent systemPopulationComputer Science::Social and Information NetworksControl and Systems Engineering; Modeling and Simulation; Control and OptimizationInterpretation (model theory)Computer Science::Multiagent SystemsStochastic partial differential equationMean field theoryComputer Science::Systems and ControlControl and Systems EngineeringModeling and Simulationopinion dynamicseducationMathematical economicsGame theoryMathematics
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Generating a Located Synthetic Population of Individuals, Households, and Dwellings

2017

Some of the new approaches in urban modeling, such as multi-agent systems (MAS) or activity-based models (ABM), require inputs in the form of disaggregated individual data. But for privacy protection reasons, such data is seldom available at this level. One way to get around this obstacle is to generate a synthetic population. This paper presents a method for generating a population from fully aggregated socio-demographic and geographic data. Based on French examples, this method can be reproduced anywhere in the country providing a relevant linkage between the characteristics of agents and those of urban spaces. The proposed method is subdivided into two steps. First, a population of agent…

education.field_of_studyUrban modelingComputer scienceMulti-agent systemPopulationPrivacy protectionMicrodata (statistics)Linkage (mechanical)Synthetic populationData sciencelaw.inventionlawObstacleeducationSSRN Electronic Journal
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Information Systems Architecture and Technology: Proceedings of 38th International Conference on Information Systems Architecture and Technology – IS…

2018

This three-volume set of books presents advances in the development of concepts and techniques in the area of new technologies and contemporary information system architectures. It guides readers through solving specific research and analytical problems to obtain useful knowledge and business value from the data. Each chapter provides an analysis of a specific technical problem, followed by the numerical analysis, simulation and implementation of the solution to the problem. The books constitute the refereed proceedings of the 2017 38th International Conference “Information Systems Architecture and Technology,” or ISAT 2017, held on September 17–19, 2017 in Szklarska Poręba, Poland. The con…

information systems architectureCorrectnessbusiness.industryComputer scienceProcess (engineering)Multi-agent systemIntelligent decision support systeminformation systemscomputer.software_genrerisk managementAutomationExpert systemSystems engineeringComputer Aided DesignDesign processcomputer networks ISAT 2017businesscomputer
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Towards a Great Design of Conceptual Modelling

2020

Humankind faces a most crucial mission; we must endeavour, on a global scale, to restore and improve our natural and social environments. This is a big challenge for global information systems development and for their modelling. In this paper, we discuss on different aspects of conceptual modelling in global environmental context. The paper is the summary of the panel session “The Future of Conceptual Modelling” in the 29th International Conference on Information Modelling and Knowledge Bases. peerReviewed

järjestelmäsuunnitteluympäristöteknologiaglobalisaatiocontext computingconceptual modellingdata miningtekoälyartificial intelligence113 Computer and information sciencesmodel suitesenvironmental ICTmachine learningkoneoppiminenmulti-agent systemsemantic computing5D world map systemtiedonlouhintaglobalizationkonseptisuunnittelu
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Interacting with intelligent agents : key issues in agent-based decision support system design

2010

kognitiovuorovaikutusIntelligent agentstekoälyhuman-agent interactionCognitionagentithuman-computer interactionagenttiteknologiaälykkäät agentithakuohjelmatmulti-agent systemsohjelmistokehitystietojenkäsittelypäätöksentekojärjestelmät
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Web Directories as a Knowledge Base to Build a Multi-Agent System for Information Sharing

2004

. A neural based multi-agent system, exploiting the Web Directories as a Knowledge Base for information sharing and documents retrieval, is presented. The system is based on the E?Net architecture, a neural network capable of learning the activation function of its hidden units and having good generalization capabilities. System goal is to retrieve, among documents shared by a networked community, documents satisfying a query and dealing with a specific topic. The system is composed by four agents: the Trainer Agent, the Neural Classifier Agent, the Interface Agent, and the Librarian Agent. The sub-symbolic knowledge of the Neural Classifier Agent is automatically updated each time a new, n…

multi-agent system information sharing
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Transition 8: 800-1200. Emergence of enduring, concentrated and hierarchised settlement patterns in rural regions of North-Western Europe

2021

Chapter 11 : https://books.openedition.org/pufr/19927; International audience

parish[SHS.GEO] Humanities and Social Sciences/Geographyattractivenessmiddle agesCOUVtransitionhierarchyPARIS team[SHS.GEO]Humanities and Social Sciences/Geographysimulation[SHS]Humanities and Social Sciencesmodellingtownmulti-agent systememergence[SHS] Humanities and Social Sciencessettlement system
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