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MAMbO5: A new Ontology Approach for Modelling and Managing Intelligent Virtual Environments Based on Multi-Agent Systems

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MAMbO5: A new Ontology Approach for Modelling and Managing Intelligent Virtual Environments Based on Multi-Agent Systems

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dc.contributor.author Duric, B. Okresa es_ES
dc.contributor.author Rincon, Jaime Andres es_ES
dc.contributor.author Carrascosa Casamayor, Carlos es_ES
dc.contributor.author Schatten, M. es_ES
dc.contributor.author Julian Inglada, Vicente Javier es_ES
dc.date.accessioned 2020-05-14T03:05:10Z
dc.date.available 2020-05-14T03:05:10Z
dc.date.issued 2019-09-01 es_ES
dc.identifier.uri http://hdl.handle.net/10251/143142
dc.description.abstract [EN] An intelligent virtual environment simulates a physical world inhabited by autonomous intelligent entities. Multi-agent systems have been usually employed to design systems of this kind. One of the key aspects in the design of intelligent virtual environments is the use of appropriate ontologies which offer a richer and more expressive representation of knowledge. In this sense, this paper proposes an ontology comprising concepts for modelling intelligent virtual environments enhanced with concepts for describing agent-based organisational features. This new ontology, called MAMbO5, is used as an input of the JaCalIVE framework, which is a toolkit for the design and implementation of agent-based intelligent virtual environments. es_ES
dc.description.sponsorship This work was supported by the project TIN2015-65515-C4-1-R of the Spanish government. This work has been supported in part by the Croatian Science Foundation under the project number 8537. es_ES
dc.language Inglés es_ES
dc.publisher Springer es_ES
dc.relation.ispartof Journal of Ambient Intelligence and Humanized Computing es_ES
dc.rights Reserva de todos los derechos es_ES
dc.subject Multiagent systems (MAS) es_ES
dc.subject Large-scale multiagent systems (LSMAS) es_ES
dc.subject Ingelligent virtual environment (IVE) es_ES
dc.subject Organization es_ES
dc.subject Smart City es_ES
dc.subject Model es_ES
dc.subject Ontology es_ES
dc.subject.classification LENGUAJES Y SISTEMAS INFORMATICOS es_ES
dc.subject.classification CIENCIAS DE LA COMPUTACION E INTELIGENCIA ARTIFICIAL es_ES
dc.title MAMbO5: A new Ontology Approach for Modelling and Managing Intelligent Virtual Environments Based on Multi-Agent Systems es_ES
dc.type Artículo es_ES
dc.identifier.doi 10.1007/s12652-018-1089-4 es_ES
dc.relation.projectID info:eu-repo/grantAgreement/HRZZ//8537/ es_ES
dc.relation.projectID info:eu-repo/grantAgreement/MINECO//TIN2015-65515-C4-1-R/ES/ARQUITECTURA PERSUASIVA PARA EL USO SOSTENIBLE E INTELIGENTE DE VEHICULOS EN FLOTAS URBANAS/ es_ES
dc.rights.accessRights Cerrado es_ES
dc.contributor.affiliation Universitat Politècnica de València. Departamento de Sistemas Informáticos y Computación - Departament de Sistemes Informàtics i Computació es_ES
dc.description.bibliographicCitation Duric, BO.; Rincon, JA.; Carrascosa Casamayor, C.; Schatten, M.; Julian Inglada, VJ. (2019). MAMbO5: A new Ontology Approach for Modelling and Managing Intelligent Virtual Environments Based on Multi-Agent Systems. Journal of Ambient Intelligence and Humanized Computing. 10(9):3629-3641. https://doi.org/10.1007/s12652-018-1089-4 es_ES
dc.description.accrualMethod S es_ES
dc.relation.publisherversion https://doi.org/10.1007/s12652-018-1089-4 es_ES
dc.description.upvformatpinicio 3629 es_ES
dc.description.upvformatpfin 3641 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.description.volume 10 es_ES
dc.description.issue 9 es_ES
dc.identifier.eissn 1868-5145 es_ES
dc.relation.pasarela S\380299 es_ES
dc.contributor.funder Croatian Science Foundation es_ES
dc.contributor.funder Ministerio de Economía y Competitividad es_ES
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