Defeasible-argumentation-based multi-agent planning

[EN] This paper presents a planning system that uses defeasible argumentation to reason about context information during the construction of a plan. The system is designed to operate in cooperative multi-agent environments where agents are endowed with planning and argumentation capabilities. Planni...

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Autores: Pajares Ferrando, Sergio, Onaindia De La Rivaherrera, Eva|||0000-0001-6931-8293
Tipo de recurso: artículo
Fecha de publicación:2017
País:España
Institución:Universitat Politècnica de València (UPV)
Repositorio:RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
Idioma:inglés
OAI Identifier:oai:riunet.upv.es:10251/99167
Acceso en línea:https://riunet.upv.es/handle/10251/99167
Access Level:acceso abierto
Palabra clave:Defeasible argumentation
Multi-agent planning
Multi-agent systems
Cooperation
LENGUAJES Y SISTEMAS INFORMATICOS
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spelling Defeasible-argumentation-based multi-agent planningPajares Ferrando, SergioOnaindia De La Rivaherrera, Eva|||0000-0001-6931-8293Defeasible argumentationMulti-agent planningMulti-agent systemsCooperationLENGUAJES Y SISTEMAS INFORMATICOS[EN] This paper presents a planning system that uses defeasible argumentation to reason about context information during the construction of a plan. The system is designed to operate in cooperative multi-agent environments where agents are endowed with planning and argumentation capabilities. Planning allows agents to contribute with actions to the construction of the plan, and argumentation is the mechanism that agents use to defend or attack the planning choices according to their beliefs. We present the formalization of the model and we provide a novel specification of the qualification problem. The multi-agent planning system, which is designed to be domain-independent, is evaluated with two planning tasks from the problem suites of the International Planning Competition. We compare our system with a non-argumentative planning framework and with a different approach of planning and argumentation. The results will show that our system obtains less costly and more robust solution plans.This work has been partly supported by the Spanish MINECO under project TIN2014-55637-C2-2-R and the Valencian project PROMETEO II/2013/019.ElsevierDepartamento de Sistemas Informáticos y ComputaciónEscuela Técnica Superior de Ingeniería InformáticaInstituto Universitario Valenciano de Investigación en Inteligencia ArtificialGeneralitat ValencianaMinisterio de Economía, Industria y CompetitividadRepositorio Institucional de la Universitat Politècnica de València Riunet20172017-01-01journal articlehttp://purl.org/coar/resource_type/c_6501VoRhttp://purl.org/coar/version/c_970fb48d4fbd8a85info:eu-repo/semantics/articleapplication/pdfapplication/pdfhttps://riunet.upv.es/handle/10251/99167reponame:RiuNet. Repositorio Institucional de la Universitat Politécnica de Valénciainstname:Universitat Politècnica de València (UPV)InglésengGeneralitat Valenciana https://doi.org/10.13039/501100003359 PROMETEOII%2F2013%2F019 HUMBACE: HUMAN-LIKE COMPUTATIONAL MODELS FOR AGENT-BASED COMPUTATIONAL ECONOMICSMinisterio de Economía y Competitividad http://dx.doi.org/10.13039/501100003329 TIN2014-55637-C2-2-R GESTION DE METAS PARA AUTONOMIA A LARGO PLAZO EN CIUDADES INTELIGENTESopen accesshttp://purl.org/coar/access_right/c_abf2Reserva de todos los derechoshttp://rightsstatements.org/vocab/InC/1.0/info:eu-repo/semantics/openAccessoai:riunet.upv.es:10251/991672026-06-13T07:49:27Z
dc.title.none.fl_str_mv Defeasible-argumentation-based multi-agent planning
title Defeasible-argumentation-based multi-agent planning
spellingShingle Defeasible-argumentation-based multi-agent planning
Pajares Ferrando, Sergio
Defeasible argumentation
Multi-agent planning
Multi-agent systems
Cooperation
LENGUAJES Y SISTEMAS INFORMATICOS
title_short Defeasible-argumentation-based multi-agent planning
title_full Defeasible-argumentation-based multi-agent planning
title_fullStr Defeasible-argumentation-based multi-agent planning
title_full_unstemmed Defeasible-argumentation-based multi-agent planning
title_sort Defeasible-argumentation-based multi-agent planning
dc.creator.none.fl_str_mv Pajares Ferrando, Sergio
Onaindia De La Rivaherrera, Eva|||0000-0001-6931-8293
author Pajares Ferrando, Sergio
author_facet Pajares Ferrando, Sergio
Onaindia De La Rivaherrera, Eva|||0000-0001-6931-8293
author_role author
author2 Onaindia De La Rivaherrera, Eva|||0000-0001-6931-8293
author2_role author
dc.contributor.none.fl_str_mv Departamento de Sistemas Informáticos y Computación
Escuela Técnica Superior de Ingeniería Informática
Instituto Universitario Valenciano de Investigación en Inteligencia Artificial
Generalitat Valenciana
Ministerio de Economía, Industria y Competitividad
Repositorio Institucional de la Universitat Politècnica de València Riunet
dc.subject.none.fl_str_mv Defeasible argumentation
Multi-agent planning
Multi-agent systems
Cooperation
LENGUAJES Y SISTEMAS INFORMATICOS
topic Defeasible argumentation
Multi-agent planning
Multi-agent systems
Cooperation
LENGUAJES Y SISTEMAS INFORMATICOS
description [EN] This paper presents a planning system that uses defeasible argumentation to reason about context information during the construction of a plan. The system is designed to operate in cooperative multi-agent environments where agents are endowed with planning and argumentation capabilities. Planning allows agents to contribute with actions to the construction of the plan, and argumentation is the mechanism that agents use to defend or attack the planning choices according to their beliefs. We present the formalization of the model and we provide a novel specification of the qualification problem. The multi-agent planning system, which is designed to be domain-independent, is evaluated with two planning tasks from the problem suites of the International Planning Competition. We compare our system with a non-argumentative planning framework and with a different approach of planning and argumentation. The results will show that our system obtains less costly and more robust solution plans.
publishDate 2017
dc.date.none.fl_str_mv 2017
2017-01-01
dc.type.none.fl_str_mv journal article
http://purl.org/coar/resource_type/c_6501
VoR
http://purl.org/coar/version/c_970fb48d4fbd8a85
dc.type.openaire.fl_str_mv info:eu-repo/semantics/article
format article
dc.identifier.none.fl_str_mv https://riunet.upv.es/handle/10251/99167
url https://riunet.upv.es/handle/10251/99167
dc.language.none.fl_str_mv Inglés
eng
language_invalid_str_mv Inglés
language eng
dc.relation.none.fl_str_mv Generalitat Valenciana https://doi.org/10.13039/501100003359 PROMETEOII%2F2013%2F019 HUMBACE: HUMAN-LIKE COMPUTATIONAL MODELS FOR AGENT-BASED COMPUTATIONAL ECONOMICS
Ministerio de Economía y Competitividad http://dx.doi.org/10.13039/501100003329 TIN2014-55637-C2-2-R GESTION DE METAS PARA AUTONOMIA A LARGO PLAZO EN CIUDADES INTELIGENTES
dc.rights.none.fl_str_mv open access
http://purl.org/coar/access_right/c_abf2
Reserva de todos los derechos
http://rightsstatements.org/vocab/InC/1.0/
dc.rights.openaire.fl_str_mv info:eu-repo/semantics/openAccess
rights_invalid_str_mv open access
http://purl.org/coar/access_right/c_abf2
Reserva de todos los derechos
http://rightsstatements.org/vocab/InC/1.0/
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.publisher.none.fl_str_mv Elsevier
publisher.none.fl_str_mv Elsevier
dc.source.none.fl_str_mv reponame:RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
instname:Universitat Politècnica de València (UPV)
instname_str Universitat Politècnica de València (UPV)
reponame_str RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
collection RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
repository.name.fl_str_mv
repository.mail.fl_str_mv
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score 15,300724

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