Intelligent agents in multimedia communication environments: Towards the design of adaptive services
Identifieur interne : 002B88 ( Hal/Corpus ); précédent : 002B87; suivant : 002B89Intelligent agents in multimedia communication environments: Towards the design of adaptive services
Auteurs : Romaric ChartonSource :
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Abstract
This thesis describes our works on interaction policies for heterogeneous multiagent systems (hMAS), where human beings are placed in the system, and their application for providing multimedia communication services adaptation. To deal with agent heterogeneity, our solution proposes to insert a mediator in the system. We have defined a model where agents assume generic roles that can be assembled to build service classes. A service arises from a collaboration that satisfies a subset of agents. In order to define the behavior of the agents, we have considered different kinds of planning and chosen to use reinforcement learning in Markov Decision Processes (MDP). We have also studied user modeling and interaction monitoring for the adaptation to other agents and to execution hazards. The thesis details the specification of a mediator that is able to help a user in an information retrieval service. It also presents our architecture with four abstraction levels and a software library that we have implemented to build and execute adaptive services.
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To deal with agent heterogeneity, our solution proposes to insert a mediator in the system. We have defined a model where agents assume generic roles that can be assembled to build service classes. A service arises from a collaboration that satisfies a subset of agents. In order to define the behavior of the agents, we have considered different kinds of planning and chosen to use reinforcement learning in Markov Decision Processes (MDP). We have also studied user modeling and interaction monitoring for the adaptation to other agents and to execution hazards. The thesis details the specification of a mediator that is able to help a user in an information retrieval service. It also presents our architecture with four abstraction levels and a software library that we have implemented to build and execute adaptive services.</div></front></TEI><hal api="V3"><titleStmt><title xml:lang="en">Intelligent agents in multimedia communication environments: Towards the design of adaptive services</title><title xml:lang="fr">Des agents intelligents dans un environnement de communication multimédia : Vers la conception de services adaptatifs</title><author role="aut"><persName><forename type="first">Romaric</forename><surname>CHARTON</surname></persName><email></email><idno type="halauthor">68729</idno><affiliation ref="#struct-2355"></affiliation></author><editor role="depositor"><persName><forename>Romaric</forename><surname>CHARTON</surname></persName><email>romaric.charton@loria.fr</email></editor></titleStmt><editionStmt><edition n="v1" type="current"><date type="whenSubmitted">2004-02-19 17:41:23</date><date type="whenModified">2016-05-19 01:14:09</date><date type="whenReleased">2004-02-23 09:24:52</date><date type="whenProduced">2003-12-02</date><date type="whenEndEmbargoed">2004-02-19</date><ref type="file" target="https://tel.archives-ouvertes.fr/tel-00004910/document"><date notBefore="2004-02-19"></date></ref><ref type="file" n="1" target="https://tel.archives-ouvertes.fr/tel-00004910/file/tel-00004910.pdf"><date notBefore="2004-02-19"></date></ref><ref type="annex" subtype="other" n="0" target="https://tel.archives-ouvertes.fr/tel-00004910/file/tel-00004910.ppt"><date notBefore="2004-02-19"></date></ref></edition><respStmt><resp>contributor</resp><name key="105302"><persName><forename>Romaric</forename><surname>CHARTON</surname></persName><email>romaric.charton@loria.fr</email></name></respStmt></editionStmt><publicationStmt><distributor>CCSD</distributor><idno type="halId">tel-00004910</idno><idno type="halUri">https://tel.archives-ouvertes.fr/tel-00004910</idno><idno type="halBibtex">charton:tel-00004910</idno><idno type="halRefHtml">Autre [cs.OH]. Université Henri Poincaré - Nancy I, 2003. Français</idno><idno type="halRef">Autre [cs.OH]. Université Henri Poincaré - Nancy I, 2003. Français</idno></publicationStmt><seriesStmt><idno type="stamp" n="INRIA">INRIA - Institut National de Recherche en Informatique et en Automatique</idno><idno type="stamp" n="CNRS">CNRS - Centre national de la recherche scientifique</idno><idno type="stamp" n="INPL">Institut National Polytechnique de Lorraine</idno><idno type="stamp" n="LORIA2">Publications du LORIA</idno><idno type="stamp" n="INRIA-NANCY-GRAND-EST">INRIA Nancy - Grand Est</idno><idno type="stamp" n="LORIA-CSAI" p="LORIA">Systèmes complexes et intelligence artificielle</idno><idno type="stamp" n="LORIA">LORIA - Laboratoire Lorrain de Recherche en Informatique et ses Applications</idno><idno type="stamp" n="INRIA2">INRIA 2</idno><idno type="stamp" n="INRIA-LORRAINE">INRIA Nancy - Grand Est</idno><idno type="stamp" n="LABO-LORIA-SET" p="LORIA">LABO-LORIA-SET</idno><idno type="stamp" n="UNIV-LORRAINE">Université de Lorraine</idno></seriesStmt><notesStmt></notesStmt><sourceDesc><biblStruct><analytic><title xml:lang="en">Intelligent agents in multimedia communication environments: Towards the design of adaptive services</title><title xml:lang="fr">Des agents intelligents dans un environnement de communication multimédia : Vers la conception de services adaptatifs</title><author role="aut"><persName><forename type="first">Romaric</forename><surname>CHARTON</surname></persName><idno type="halAuthorId">68729</idno><affiliation ref="#struct-2355"></affiliation></author></analytic><monogr><idno type="localRef">A03-T-482</idno><imprint><date type="dateDefended">2003-12-02</date></imprint><authority type="institution">Université Henri Poincaré - Nancy I</authority><authority type="supervisor">BOYER Anne / HATON Jean-Paul (co-directeur)</authority><authority type="jury">Président du jury : Dominique MERY, Professeur de l'Université Henri Poincaré, Nancy I</authority><authority type="jury">Rapporteurs : Anne NICOLLE, Professeur de l'Université de Caen et Abderrafiaa KOUKAM, Professeur de l'Université de Technologie de Belfort-Montbéliard</authority><authority type="jury">Examinateur : Brahim CHAIB-DRAA, Professeur de l'Université de Laval</authority></monogr><ref type="seeAlso">http://www.loria.fr/~charton/These/doc/These.ps.gz</ref></biblStruct></sourceDesc><profileDesc><langUsage><language ident="fr">French</language></langUsage><textClass><keywords scheme="author"><term xml:lang="en">multiagent systems</term><term xml:lang="en">heterogeneity</term><term xml:lang="en">reinforcement learning</term><term xml:lang="en">uncertainty</term><term xml:lang="en">stochastic models</term><term xml:lang="en">multimedia communication.</term><term xml:lang="fr">communication multimédia</term><term xml:lang="fr">systèmes multi-agents</term><term xml:lang="fr">hétérogénéité</term><term xml:lang="fr">apprentissage par renforcement</term><term xml:lang="fr">incertitude</term><term xml:lang="fr">modélisation stochastique</term><term xml:lang="fr">médiation</term><term xml:lang="fr">services</term><term xml:lang="fr">adaptation</term><term xml:lang="fr">communication multimédia.</term></keywords><classCode scheme="halDomain" n="info.info-oh">Computer Science [cs]/Other [cs.OH]</classCode><classCode scheme="halTypology" n="THESE">Theses</classCode></textClass><abstract xml:lang="en">This thesis describes our works on interaction policies for heterogeneous multiagent systems (hMAS), where human beings are placed in the system, and their application for providing multimedia communication services adaptation. To deal with agent heterogeneity, our solution proposes to insert a mediator in the system. We have defined a model where agents assume generic roles that can be assembled to build service classes. A service arises from a collaboration that satisfies a subset of agents. In order to define the behavior of the agents, we have considered different kinds of planning and chosen to use reinforcement learning in Markov Decision Processes (MDP). We have also studied user modeling and interaction monitoring for the adaptation to other agents and to execution hazards. The thesis details the specification of a mediator that is able to help a user in an information retrieval service. It also presents our architecture with four abstraction levels and a software library that we have implemented to build and execute adaptive services.</abstract><abstract xml:lang="fr">Cette thèse présente nos travaux sur les stratégies d'interaction dans les systèmes multi-agents hétérogènes (hSMA), où l'humain est placé dans le système, et leur application pour fournir des services de communication multimédia. Pour pallier l'hétérogénéité des agents, notre solution consiste à introduire un médiateur et à définir une modélisation où les agents endossent des rôles permettant de construire des classes de service. Un service résulte alors d'une collaboration donnant satisfaction à un sous-ensemble d'agents. Pour définir le comportement des agents, nous avons envisagé divers types de planification, puis l'apprentissage par renforcement dans les Processus de Décision Markoviens (MDP). Nous avons également étudié la modélisation des utilisateurs et le suivi de l'interaction pour l'adaptation aux autres agents et aux aléas d'exécution. La thèse décrit la spécification d'un médiateur capable d'aider un utilisateur dans sa recherche d'informations. Elle présente également une architecture à quatre niveaux d'abstraction et une bibliothèque logicielle utilisés pour concevoir et exécuter des services adaptatifs.</abstract></profileDesc></hal></record>Pour manipuler ce document sous Unix (Dilib)
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