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المصدر: Revue Ouverte d'Intelligence Artificielle. 3:557-585
URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_________::eda70e892e4d73798226160c85ee8aca
https://doi.org/10.5802/roia.43 -
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المساهمون: Equipe SMAC, CRIStAL, Systèmes Multi-Agents et Comportements (SMAC), Centre de Recherche en Informatique, Signal et Automatique de Lille - UMR 9189 (CRIStAL), Centrale Lille-Université de Lille-Centre National de la Recherche Scientifique (CNRS)-Centrale Lille-Université de Lille-Centre National de la Recherche Scientifique (CNRS), Centrale Lille-Université de Lille-Centre National de la Recherche Scientifique (CNRS), Department of Computer Science (Royal Holloway University of London), Computer Learning Research Centre [Royal Holloway, University of London], Royal Holloway [University of London] (RHUL)-Royal Holloway [University of London] (RHUL), Université de Lille, Royal Holloway University of London - Department of Computer Science (RHUL)
المصدر: Journal of Parallel and Distributed Computing
Journal of Parallel and Distributed Computing, Elsevier, In press, 153, pp.75-88. ⟨10.1016/j.jpdc.2021.03.008⟩
Revue Ouverte d'Intelligence Artificielle
Revue Ouverte d'Intelligence Artificielle, 2022, pp.557-585
Journal of Parallel and Distributed Computing, 2021, 153, pp.75-88. ⟨10.1016/j.jpdc.2021.03.008⟩مصطلحات موضوعية: [INFO.INFO-AI] Computer Science [cs]/Artificial Intelligence [cs.AI], Computer Networks and Communications, Process (engineering), Computer science, Distributed computing, 02 engineering and technology, Negotiation, Theoretical Computer Science, Task (project management), Scheduling (computing), [INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI], Artificial Intelligence, Situated, 0202 electrical engineering, electronic engineering, information engineering, MapReduce, Data processing, Multi-agent system, Context (computing), Multi-agent systems, Novelty, BigData, 020206 networking & telecommunications, [INFO.INFO-MO]Computer Science [cs]/Modeling and Simulation, Hardware and Architecture, [INFO.INFO-MA]Computer Science [cs]/Multiagent Systems [cs.MA], 020201 artificial intelligence & image processing, [INFO.INFO-MA] Computer Science [cs]/Multiagent Systems [cs.MA], [INFO.INFO-MO] Computer Science [cs]/Modeling and Simulation, Software
وصف الملف: application/pdf
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المساهمون: Systèmes Multi-Agents et Comportements (SMAC), Centre de Recherche en Informatique, Signal et Automatique de Lille - UMR 9189 (CRIStAL), Centrale Lille-Université de Lille-Centre National de la Recherche Scientifique (CNRS)-Centrale Lille-Université de Lille-Centre National de la Recherche Scientifique (CNRS), Centrale Lille-Université de Lille-Centre National de la Recherche Scientifique (CNRS), Université de Lille, Department of Computer Science [Royal Holloway], Royal Holloway [University of London] (RHUL)
المصدر: 2019 IEEE 31st International Conference on Tools with Artificial Intelligence (ICTAI)
2019 IEEE 31st International Conference on Tools with Artificial Intelligence (ICTAI), Nov 2019, Portland, Oregon, United States. ⟨10.1109/ICTAI.2019.00098⟩
ICTAIمصطلحات موضوعية: 020203 distributed computing, business.industry, Computer science, Distributed computing, Design pattern, Multi-agent system, media_common.quotation_subject, Big data, 02 engineering and technology, Load balancing (computing), [INFO.INFO-MO]Computer Science [cs]/Modeling and Simulation, [INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI], Negotiation, Software deployment, [INFO.INFO-MA]Computer Science [cs]/Multiagent Systems [cs.MA], 020204 information systems, Situated, 0202 electrical engineering, electronic engineering, information engineering, business, media_common
URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::842bfbaa93e835144e560828d5040c3a
https://hal.science/hal-02344457 -
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المساهمون: Systèmes Multi-Agents et Comportements (SMAC), Centre de Recherche en Informatique, Signal et Automatique de Lille - UMR 9189 (CRIStAL), Centrale Lille-Université de Lille-Centre National de la Recherche Scientifique (CNRS)-Centrale Lille-Université de Lille-Centre National de la Recherche Scientifique (CNRS), Centrale Lille-Université de Lille-Centre National de la Recherche Scientifique (CNRS), Université de Lille, Department of Computer Science [Royal Holloway], Royal Holloway [University of London] (RHUL)
المصدر: Vingt-septièmes journées francophones sur les systèmes multi-agents (JFSMA)
Vingt-septièmes journées francophones sur les systèmes multi-agents (JFSMA), Jul 2019, Toulouse, France. pp.9-18
HALمصطلحات موضوعية: Distributed cooperative problem solving, Résolution collective de problème, [INFO.INFO-MA]Computer Science [cs]/Multiagent Systems [cs.MA], Agent behaviour, Négociation, Modèle de comportement d'agents, [INFO.INFO-MO]Computer Science [cs]/Modeling and Simulation, Negotiation, [INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI]
URL الوصول: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::c615ac7b13059d9a9ea200a10373b5b0
https://hal.science/hal-02173687 -
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المساهمون: Systèmes Multi-Agents et Comportements (SMAC), Centre de Recherche en Informatique, Signal et Automatique de Lille - UMR 9189 (CRIStAL), Centrale Lille-Université de Lille-Centre National de la Recherche Scientifique (CNRS)-Centrale Lille-Université de Lille-Centre National de la Recherche Scientifique (CNRS), Centrale Lille-Université de Lille-Centre National de la Recherche Scientifique (CNRS), This project is supported by the CNRS Challenge Mastodons.
المصدر: Knowledge and Information Systems (KAIS)
Knowledge and Information Systems (KAIS), 2018, 54 (3), pp.591-615. ⟨10.1007/s10115-017-1087-4⟩
Knowledge and Information Systems (KAIS), Springer, 2018, 54 (3), pp.591-615. ⟨10.1007/s10115-017-1087-4⟩مصطلحات موضوعية: Computer science, Distributed computing, Big data, 02 engineering and technology, Negotiation, Task (project management), [INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI], Artificial Intelligence, 020204 information systems, 0202 electrical engineering, electronic engineering, information engineering, MapReduce, Reducer, business.industry, Design pattern, Multi-agent system, Skew, Workload, Data structure, [INFO.INFO-MO]Computer Science [cs]/Modeling and Simulation, Human-Computer Interaction, Hardware and Architecture, [INFO.INFO-MA]Computer Science [cs]/Multiagent Systems [cs.MA], 020201 artificial intelligence & image processing, ACM: I.: Computing Methodologies/I.2: ARTIFICIAL INTELLIGENCE/I.2.11: Distributed Artificial Intelligence/I.2.11.3: Multiagent systems, business, Software, Information Systems
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المساهمون: Systèmes Multi-Agents et Comportements (SMAC), Centre de Recherche en Informatique, Signal et Automatique de Lille - UMR 9189 (CRIStAL), Centrale Lille-Université de Lille-Centre National de la Recherche Scientifique (CNRS)-Centrale Lille-Université de Lille-Centre National de la Recherche Scientifique (CNRS), Centrale Lille-Université de Lille-Centre National de la Recherche Scientifique (CNRS), Université de Lille, CNRS Challenge Mastodons, Belardinelli F., Argente E.
المصدر: Multi-Agent Systems and Agreement Technologies. EUMAS 2017, AT 2017
15th European Conference on Multi-Agent Systems
15th European Conference on Multi-Agent Systems, Nov 2017, Évry, France. pp.370-384, ⟨10.1007/978-3-030-01713-2_26⟩
Multi-Agent Systems and Agreement Technologies ISBN: 9783030017125
EUMAS/ATمصطلحات موضوعية: Data processing, Computer science, Design pattern, media_common.quotation_subject, Distributed computing, Workload, 02 engineering and technology, Partition (database), [INFO.INFO-MO]Computer Science [cs]/Modeling and Simulation, Automated negotiation, [INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI], Negotiation, [INFO.INFO-MA]Computer Science [cs]/Multiagent Systems [cs.MA], 020204 information systems, 0202 electrical engineering, electronic engineering, information engineering, Application of MAS, 020201 artificial intelligence & image processing, Adaptation, media_common
URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c7eb781723e9627b753cd0cf41deb956
https://hal.archives-ouvertes.fr/hal-01900313 -
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المساهمون: Systèmes Multi-Agents et Comportements (SMAC), Centre de Recherche en Informatique, Signal et Automatique de Lille - UMR 9189 (CRIStAL), Centrale Lille-Université de Lille-Centre National de la Recherche Scientifique (CNRS)-Centrale Lille-Université de Lille-Centre National de la Recherche Scientifique (CNRS), Centrale Lille-Université de Lille-Centre National de la Recherche Scientifique (CNRS), This work is part of the PartENS research project supported by the Nord-Pas de Calais region (researcher/citizen research projects)., Yves Demazeau, Takayuki Ito, Javier Bajo, Maria José Escalona
المصدر: Lecture Note in Artificial Intelligence, Advances in Practical Applications of Scalable Multi-agent Systems, The PAAMS collection
PAAMS 2016-14th International Conference on Practical Applications of Agents and Multi-Agent Systems
PAAMS 2016-14th International Conference on Practical Applications of Agents and Multi-Agent Systems, Jun 2016, Sevilla, Spain. pp.12, ⟨10.1007/978-3-319-39324-7_3⟩
Advances in Practical Applications of Scalable Multi-agent Systems. The PAAMS Collection ISBN: 9783319393230
PAAMSمصطلحات موضوعية: Big Data, Computer science, Process (engineering), Distributed computing, Big data, 02 engineering and technology, computer.software_genre, Negotiation, [INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI], 020204 information systems, 0202 electrical engineering, electronic engineering, information engineering, MapReduce, Profiling (computer programming), Reducer, business.industry, Multi-agent system, Workload, Data set, Task (computing), [INFO.INFO-MA]Computer Science [cs]/Multiagent Systems [cs.MA], 020201 artificial intelligence & image processing, Data mining, ACM: I.: Computing Methodologies/I.2: ARTIFICIAL INTELLIGENCE/I.2.11: Distributed Artificial Intelligence/I.2.11.3: Multiagent systems, business, computer
URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::87ca6dd586db2ffcbb78414416f973ae
https://inria.hal.science/hal-01327522/file/morge16paams.pdf -
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المساهمون: Centre de Recherche en Informatique, Signal et Automatique de Lille - UMR 9189 (CRIStAL), Centrale Lille-Université de Lille-Centre National de la Recherche Scientifique (CNRS), Systèmes Multi-Agents et Comportements (SMAC), Centrale Lille-Université de Lille-Centre National de la Recherche Scientifique (CNRS)-Centrale Lille-Université de Lille-Centre National de la Recherche Scientifique (CNRS), Le défi CNRS MASTODONS, Catherine Garbay, Grégory Bonnet
المصدر: HAL
Journées Francophones sur les Systèmes Multi-Agents (JFSMA)
Journées Francophones sur les Systèmes Multi-Agents (JFSMA), Jul 2017, Caen, France. pp.65-75
Journées Francophones sur les Systèmes Multi-Agents
Journées Francophones sur les Systèmes Multi-Agents, Jul 2017, Caen, France. pp.65-75مصطلحات موضوعية: Big Data, [INFO.INFO-MA]Computer Science [cs]/Multiagent Systems [cs.MA], Distributed problem solving, Résolution distribuée de problème, MapReduce, Négociation, Données massives, ACM: I.: Computing Methodologies/I.2: ARTIFICIAL INTELLIGENCE/I.2.11: Distributed Artificial Intelligence/I.2.11.3: Multiagent systems, [INFO.INFO-MO]Computer Science [cs]/Modeling and Simulation, Negotiation, [INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI]
URL الوصول: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::c682672a482e265dbf29b4026a52a4c8
https://hal.inria.fr/hal-01558607 -
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المساهمون: Centre de Recherche en Informatique, Signal et Automatique de Lille - UMR 9189 (CRIStAL), Centrale Lille-Université de Lille-Centre National de la Recherche Scientifique (CNRS), Systèmes Multi-Agents et Comportements (SMAC), Centrale Lille-Université de Lille-Centre National de la Recherche Scientifique (CNRS)-Centrale Lille-Université de Lille-Centre National de la Recherche Scientifique (CNRS), Ce travail s’inscrit dans le projet de recherche PartENS soutenu par le programme chercheur-citoyen de la région Nord Pas de Calais., Julien SAUNIER, Fabien MICHEL, Ce travail s'inscrit dans le défi CNRS MASTODONS 2017
المصدر: HAL
Journées Francophones sur les Systèmes Multi-Agents (JFSMA)
Journées Francophones sur les Systèmes Multi-Agents (JFSMA), Julien SAUNIER, Oct 2016, Saint Martin du Vivier, France. pp.55-64
Revue des Sciences et Technologies de l'Information-Série RIA : Revue d'Intelligence Artificielle
Revue des Sciences et Technologies de l'Information-Série RIA : Revue d'Intelligence Artificielle, 2017, 31 (4), pp.401-426
Revue des Sciences et Technologies de l'Information-Série RIA : Revue d'Intelligence Artificielle, Lavoisier, 2017, 31 (4), pp.401-426
Journées Francophones sur les Systèmes Multi-Agents
Journées Francophones sur les Systèmes Multi-Agents, Julien SAUNIER, Oct 2016, Saint Martin du Vivier, France. pp.55-64مصطلحات موضوعية: Big Data, distributed problem solving, multiagent system, Résolution distribuée de problème, système multi-agent, Négociation, Données massives, [INFO.INFO-MO]Computer Science [cs]/Modeling and Simulation, MapReduce programming model, [INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI], negotiation, [INFO.INFO-MA]Computer Science [cs]/Multiagent Systems [cs.MA], MapReduce, ACM: I.: Computing Methodologies/I.2: ARTIFICIAL INTELLIGENCE/I.2.11: Distributed Artificial Intelligence/I.2.11.3: Multiagent systems
URL الوصول: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::392196d48fc0142b04a72c8f314a78f9
https://hal.inria.fr/hal-01570176
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