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A New Modeling Framework For Cyber-Physical And Human Systems

dc.rights.licenseopenen_US
hal.structure.identifierLaboratoire de l'intégration, du matériau au système [IMS]
dc.contributor.authorPOURSOLTAN, Milad
hal.structure.identifierLaboratoire de l'intégration, du matériau au système [IMS]
dc.contributor.authorPINEDE, Nathalie
IDREF: 057460477
hal.structure.identifierLaboratoire de l'intégration, du matériau au système [IMS]
dc.contributor.authorVALLESPIR, Bruno
hal.structure.identifierLaboratoire de l'intégration, du matériau au système [IMS]
dc.contributor.authorTRAORE, Mamadou Kaba
IDREF: 112136893
dc.date.accessioned2023-05-30T09:39:46Z
dc.date.available2023-05-30T09:39:46Z
dc.date.issued2022-08-23
dc.date.conference2022-07-18
dc.identifier.issn2473-2001en_US
dc.identifier.urihttps://oskar-bordeaux.fr/handle/20.500.12278/182360
dc.description.abstractEnHealth, manufacturing, and transport systems are in the midst of the rapid emergence of intelligent systems. In this regard, Cyber-Physical and Human Systems open a new window on intelligent systems in which the role of humans is prominent. Modeling and simulation (M&S) are recognized as practical tools playing a role in promoting the design, analysis, and development of CPHS. However, from a conceptual and technical point of view, CPHS modeling is challenging for modelers since they face some concepts and processes regarding human beings and intelligent artifacts which were not pervasive in M&S before. Thus, the aim of this study is twofold. The first is to shine new lights on the CPHS understanding regardless of application domains by providing an ontological model. The next is to propose an agent-based modeling framework according to the High-Level Language for Systems Specification (HiLLS) to convert conceptual models into executable ones.
dc.language.isoENen_US
dc.subjectAnalytical models
dc.subjectFace recognition
dc.subjectAgent-based modeling
dc.subjectManufacturing
dc.subjectIntelligent systems
dc.subjectHigh level languages
dc.subjectComputer simulation
dc.subjectCyber-physical systems
dc.subjectFormal specification
dc.subjectHigh level languages
dc.subjectMulti-agent systems
dc.subjectOntologies (artificial intelligence)
dc.subjectCyber-Physical and Human Systems
dc.subjectHigh-Level Language for Systems Specification
dc.subjectOntology
dc.subjectMeta-model
dc.subjectAgent-Based Modelling
dc.title.enA New Modeling Framework For Cyber-Physical And Human Systems
dc.typeCommunication dans un congrès avec actesen_US
dc.identifier.doi10.23919/ANNSIM55834.2022.9859402en_US
dc.subject.halSciences de l'ingénieur [physics]en_US
bordeaux.page90-101en_US
bordeaux.hal.laboratoriesIMS : Laboratoire de l'Intégration du Matériau au Système - UMR 5218en_US
bordeaux.institutionUniversité de Bordeauxen_US
bordeaux.institutionBordeaux INPen_US
bordeaux.institutionCNRSen_US
bordeaux.conference.title2022 Annual Modeling and Simulation Conference (ANNSIM), San Diego, CA, USA, 2022en_US
bordeaux.countryusen_US
bordeaux.title.proceeding2022 Annual Modeling and Simulation Conference (ANNSIM)en_US
bordeaux.teamCOGNITIQUE-CIHen_US
bordeaux.teamPRODUCTIQUE-MEIen_US
bordeaux.conference.citySan Diegoen_US
bordeaux.peerReviewedouien_US
hal.identifierhal-04109609
hal.version1
hal.date.transferred2023-05-30T09:39:53Z
hal.exporttrue
dc.rights.ccPas de Licence CCen_US
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