A modeling framework for complex systems

Autores
Blas, María Julia; Gonnet, Silvio
Año de publicación
2024
Idioma
inglés
Tipo de recurso
documento de conferencia
Estado
versión publicada
Descripción
This paper presents a modeling framework for defining abstractions of real-world complex systems promoting the development of discrete-event simulation models based on DEVS. An ontology, a metamodel, and a reasoner are combined in one single structure to allow an upgrade of an abstraction model to an implementation model. Our motivation is to reduce the effort related to the modeling part when specifying DEVS models for complex systems described from an abstraction of reality built over a research question. Applications include an easier introduction to M&S for students of any scientific field that can define an abstraction model with an easier introduction to DEVS models (from formalization to implementation).
Fil: Blas, Maria Julia. CONICET-UTN. Instituto de desarrollo y diseño (INGAR), Argentina.
Fil: Gonnet, Silvio. CONICET-UTN. Instituto de desarrollo y diseño (INGAR), Argentina.
Materia
Ontologies
Complex systems
Nivel de accesibilidad
acceso abierto
Condiciones de uso
Attribution-NonCommercial-NoDerivatives 4.0 International
Repositorio
Repositorio Institucional Abierto (UTN)
Institución
Universidad Tecnológica Nacional
OAI Identificador
oai:ria.utn.edu.ar:20.500.12272/13022
Acceder
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spelling A modeling framework for complex systemsBlas, María JuliaGonnet, SilvioOntologiesComplex systemsThis paper presents a modeling framework for defining abstractions of real-world complex systems promoting the development of discrete-event simulation models based on DEVS. An ontology, a metamodel, and a reasoner are combined in one single structure to allow an upgrade of an abstraction model to an implementation model. Our motivation is to reduce the effort related to the modeling part when specifying DEVS models for complex systems described from an abstraction of reality built over a research question. Applications include an easier introduction to M&S for students of any scientific field that can define an abstraction model with an easier introduction to DEVS models (from formalization to implementation).Fil: Blas, Maria Julia. CONICET-UTN. Instituto de desarrollo y diseño (INGAR), Argentina.Fil: Gonnet, Silvio. CONICET-UTN. Instituto de desarrollo y diseño (INGAR), Argentina.Winter Simulation Conference2025-05-22T20:56:39Z2024info:eu-repo/semantics/conferenceObjectinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_5794info:ar-repo/semantics/documentoDeConferenciapdfapplication/pdfBlas, M. J. & Gonnet, S. (15-18 de diciembre de 2024). A Modeling Framework for Complex Systems. 2024 Winter Simulation Conference (WSC), Orlando, EE. UU., pp. 2809-2820, doi: 10.1109/WSC63780.2024.10838924.https://hdl.handle.net/20.500.12272/1302210.1109/WSC63780.2024.10838924engSITCBFE0008464TCONTOLOGÍAS, MODELOS Y HERRAMIENTAS DE SOPORTE PARA LA SIMULACIÓN MULTIFORMALISMO BASADA EN MODELOS DE EVENTOS DISCRETOSinfo:eu-repo/semantics/openAccessAttribution-NonCommercial-NoDerivatives 4.0 Internationalhttp://creativecommons.org/licenses/by-nc-nd/4.0/Los autoresCreativeCommonsreponame:Repositorio Institucional Abierto (UTN)instname:Universidad Tecnológica Nacional2026-09-24T12:48:26Zoai:ria.utn.edu.ar:20.500.12272/13022instacron:UTNInstitucionalhttp://ria.utn.edu.ar/Universidad públicaNo correspondehttp://ria.utn.edu.ar/oaigestionria@rec.utn.edu.ar; fsuarez@rec.utn.edu.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:a2026-09-24 12:48:28.545Repositorio Institucional Abierto (UTN) - Universidad Tecnológica Nacionalfalse
dc.title.none.fl_str_mv A modeling framework for complex systems
title A modeling framework for complex systems
spellingShingle A modeling framework for complex systems
Blas, María Julia
Ontologies
Complex systems
title_short A modeling framework for complex systems
title_full A modeling framework for complex systems
title_fullStr A modeling framework for complex systems
title_full_unstemmed A modeling framework for complex systems
title_sort A modeling framework for complex systems
dc.creator.none.fl_str_mv Blas, María Julia
Gonnet, Silvio
author Blas, María Julia
author_facet Blas, María Julia
Gonnet, Silvio
author_role author
author2 Gonnet, Silvio
author2_role author
dc.subject.none.fl_str_mv Ontologies
Complex systems
topic Ontologies
Complex systems
dc.description.none.fl_txt_mv This paper presents a modeling framework for defining abstractions of real-world complex systems promoting the development of discrete-event simulation models based on DEVS. An ontology, a metamodel, and a reasoner are combined in one single structure to allow an upgrade of an abstraction model to an implementation model. Our motivation is to reduce the effort related to the modeling part when specifying DEVS models for complex systems described from an abstraction of reality built over a research question. Applications include an easier introduction to M&S for students of any scientific field that can define an abstraction model with an easier introduction to DEVS models (from formalization to implementation).
Fil: Blas, Maria Julia. CONICET-UTN. Instituto de desarrollo y diseño (INGAR), Argentina.
Fil: Gonnet, Silvio. CONICET-UTN. Instituto de desarrollo y diseño (INGAR), Argentina.
description This paper presents a modeling framework for defining abstractions of real-world complex systems promoting the development of discrete-event simulation models based on DEVS. An ontology, a metamodel, and a reasoner are combined in one single structure to allow an upgrade of an abstraction model to an implementation model. Our motivation is to reduce the effort related to the modeling part when specifying DEVS models for complex systems described from an abstraction of reality built over a research question. Applications include an easier introduction to M&S for students of any scientific field that can define an abstraction model with an easier introduction to DEVS models (from formalization to implementation).
publishDate 2024
dc.date.none.fl_str_mv 2024
2025-05-22T20:56:39Z
dc.type.none.fl_str_mv info:eu-repo/semantics/conferenceObject
info:eu-repo/semantics/publishedVersion
http://purl.org/coar/resource_type/c_5794
info:ar-repo/semantics/documentoDeConferencia
format conferenceObject
status_str publishedVersion
dc.identifier.none.fl_str_mv Blas, M. J. & Gonnet, S. (15-18 de diciembre de 2024). A Modeling Framework for Complex Systems. 2024 Winter Simulation Conference (WSC), Orlando, EE. UU., pp. 2809-2820, doi: 10.1109/WSC63780.2024.10838924.
https://hdl.handle.net/20.500.12272/13022
10.1109/WSC63780.2024.10838924
identifier_str_mv Blas, M. J. & Gonnet, S. (15-18 de diciembre de 2024). A Modeling Framework for Complex Systems. 2024 Winter Simulation Conference (WSC), Orlando, EE. UU., pp. 2809-2820, doi: 10.1109/WSC63780.2024.10838924.
10.1109/WSC63780.2024.10838924
url https://hdl.handle.net/20.500.12272/13022
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv SITCBFE0008464TC
ONTOLOGÍAS, MODELOS Y HERRAMIENTAS DE SOPORTE PARA LA SIMULACIÓN MULTIFORMALISMO BASADA EN MODELOS DE EVENTOS DISCRETOS
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
Attribution-NonCommercial-NoDerivatives 4.0 International
http://creativecommons.org/licenses/by-nc-nd/4.0/
Los autores
CreativeCommons
eu_rights_str_mv openAccess
rights_invalid_str_mv Attribution-NonCommercial-NoDerivatives 4.0 International
http://creativecommons.org/licenses/by-nc-nd/4.0/
Los autores
CreativeCommons
dc.format.none.fl_str_mv pdf
application/pdf
dc.publisher.none.fl_str_mv Winter Simulation Conference
publisher.none.fl_str_mv Winter Simulation Conference
dc.source.none.fl_str_mv reponame:Repositorio Institucional Abierto (UTN)
instname:Universidad Tecnológica Nacional
reponame_str Repositorio Institucional Abierto (UTN)
collection Repositorio Institucional Abierto (UTN)
instname_str Universidad Tecnológica Nacional
repository.name.fl_str_mv Repositorio Institucional Abierto (UTN) - Universidad Tecnológica Nacional
repository.mail.fl_str_mv gestionria@rec.utn.edu.ar; fsuarez@rec.utn.edu.ar
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score 13.265058

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