MAS2DES-Onto: Ontology for MAS-based Digital Ecosystems

Multi-Agent Systems (MASs) have received much attention in recent years because of their advantages on modeling complex distributed systems, such Digital Ecosystems (DESs). Many existing modeling languages that support the design of such systems are based on ontologies to assist the representation o...

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Detalles Bibliográficos
Autores principales: Kidanu, Solomon Asres, Chbeir, Richard, Cardinale, Yudith
Formato: Objeto de conferencia
Lenguaje:Inglés
Publicado: 2017
Materias:
Ciencias Informáticas
modelos conceptuales
Multiagent systems
Agent
ontologías
Acceso en línea:http://sedici.unlp.edu.ar/handle/10915/63199
http://www.clei2017-46jaiio.sadio.org.ar/sites/default/files/Mem/SLMDI/SLMDI-01.pdf
Aporte de:
SEDICI (UNLP) de Universidad Nacional de La Plata
id I19-R120-10915-63199
record_format dspace
institution Universidad Nacional de La Plata
institution_str I-19
repository_str R-120
collection SEDICI (UNLP)
language Inglés
topic Ciencias Informáticas
modelos conceptuales
Multiagent systems
Agent
ontologías
spellingShingle Ciencias Informáticas
modelos conceptuales
Multiagent systems
Agent
ontologías
Kidanu, Solomon Asres
Chbeir, Richard
Cardinale, Yudith
MAS2DES-Onto: Ontology for MAS-based Digital Ecosystems
topic_facet Ciencias Informáticas
modelos conceptuales
Multiagent systems
Agent
ontologías
description Multi-Agent Systems (MASs) have received much attention in recent years because of their advantages on modeling complex distributed systems, such Digital Ecosystems (DESs). Many existing modeling languages that support the design of such systems are based on ontologies to assist the representation of agents knowledge. However, in the context of DESs, there is still a need for more general conceptual models to represent the specific characteristics of DESs in terms of win-win interaction, engagement, equilibrium, and self-organization. Then, concepts such behavior, roles, rules, and environment are needed. This paper describes an ontologybased approach by proposing MAS2DES-Onto, as the conceptual model, which considers the essential static and dynamic aspects of MASs by a clear representation of their concepts and relationships to support the design and development of DESs. To validate and conduct experimental tests, we integrate MAS2DES-Onto into a framework to automatically generate MAS-based DESs. Results show the efficiency and effectiveness of our approach.
format Objeto de conferencia
Objeto de conferencia
author Kidanu, Solomon Asres
Chbeir, Richard
Cardinale, Yudith
author_facet Kidanu, Solomon Asres
Chbeir, Richard
Cardinale, Yudith
author_sort Kidanu, Solomon Asres
title MAS2DES-Onto: Ontology for MAS-based Digital Ecosystems
title_short MAS2DES-Onto: Ontology for MAS-based Digital Ecosystems
title_full MAS2DES-Onto: Ontology for MAS-based Digital Ecosystems
title_fullStr MAS2DES-Onto: Ontology for MAS-based Digital Ecosystems
title_full_unstemmed MAS2DES-Onto: Ontology for MAS-based Digital Ecosystems
title_sort mas2des-onto: ontology for mas-based digital ecosystems
publishDate 2017
url http://sedici.unlp.edu.ar/handle/10915/63199
http://www.clei2017-46jaiio.sadio.org.ar/sites/default/files/Mem/SLMDI/SLMDI-01.pdf
work_keys_str_mv AT kidanusolomonasres mas2desontoontologyformasbaseddigitalecosystems
AT chbeirrichard mas2desontoontologyformasbaseddigitalecosystems
AT cardinaleyudith mas2desontoontologyformasbaseddigitalecosystems
bdutipo_str Repositorios
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