Argumentative Credibility-based Revision in Multi-Agent Systems

Autores
Tamargo, Luciano H.; García, Alejandro Javier; Thimm, Matthias; Krümpelmann, Patrick
Año de publicación
2012
Idioma
inglés
Tipo de recurso
documento de conferencia
Estado
versión publicada
Descripción
We consider the problem of belief revision in a multi-agent system with information stemming from different agents with different degrees of credibility. In this context an agent has to carefully choose which information is to be accepted for revision in order to avoid believing in faulty and untrustworthy information. We propose a revision process combining selective revision, deductive argumentation, and credibility information for the adequate handling of information in this complex scenario. New information is evaluated based on the credibility of the source in combination with all arguments favoring and opposing the new information. The evaluation process determines which part of the new information is to be accepted for revision and thereupon incorporated into the belief base by an appropriate revision operator. We demonstrate the benefits of our approach, investigate formal properties, and show that it outperforms the baseline approach without argumentation.
Sociedad Argentina de Informática e Investigación Operativa
Materia
Ciencias Informáticas
Argumentation
Belief Revision
Multi-agent System
Nivel de accesibilidad
acceso abierto
Condiciones de uso
http://creativecommons.org/licenses/by-nc-sa/4.0/
Repositorio
SEDICI (UNLP)
Institución
Universidad Nacional de La Plata
OAI Identificador
oai:sedici.unlp.edu.ar:10915/123738
Acceder
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oai_identifier_str oai:sedici.unlp.edu.ar:10915/123738
network_acronym_str SEDICI
repository_id_str 1329
network_name_str SEDICI (UNLP)
spelling Argumentative Credibility-based Revision in Multi-Agent SystemsTamargo, Luciano H.García, Alejandro JavierThimm, MatthiasKrümpelmann, PatrickCiencias InformáticasArgumentationBelief RevisionMulti-agent SystemWe consider the problem of belief revision in a multi-agent system with information stemming from different agents with different degrees of credibility. In this context an agent has to carefully choose which information is to be accepted for revision in order to avoid believing in faulty and untrustworthy information. We propose a revision process combining selective revision, deductive argumentation, and credibility information for the adequate handling of information in this complex scenario. New information is evaluated based on the credibility of the source in combination with all arguments favoring and opposing the new information. The evaluation process determines which part of the new information is to be accepted for revision and thereupon incorporated into the belief base by an appropriate revision operator. We demonstrate the benefits of our approach, investigate formal properties, and show that it outperforms the baseline approach without argumentation.Sociedad Argentina de Informática e Investigación Operativa2012-08info:eu-repo/semantics/conferenceObjectinfo:eu-repo/semantics/publishedVersionObjeto de conferenciahttp://purl.org/coar/resource_type/c_5794info:ar-repo/semantics/documentoDeConferenciaapplication/pdf128-139http://sedici.unlp.edu.ar/handle/10915/123738enginfo:eu-repo/semantics/altIdentifier/url/https://41jaiio.sadio.org.ar/sites/default/files/12_ASAI_2012.pdfinfo:eu-repo/semantics/altIdentifier/issn/1850-2784info:eu-repo/semantics/openAccesshttp://creativecommons.org/licenses/by-nc-sa/4.0/Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)reponame:SEDICI (UNLP)instname:Universidad Nacional de La Platainstacron:UNLP2025-09-17T10:12:24Zoai:sedici.unlp.edu.ar:10915/123738Institucionalhttp://sedici.unlp.edu.ar/Universidad públicaNo correspondehttp://sedici.unlp.edu.ar/oai/snrdalira@sedici.unlp.edu.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:13292025-09-17 10:12:24.538SEDICI (UNLP) - Universidad Nacional de La Platafalse
dc.title.none.fl_str_mv Argumentative Credibility-based Revision in Multi-Agent Systems
title Argumentative Credibility-based Revision in Multi-Agent Systems
spellingShingle Argumentative Credibility-based Revision in Multi-Agent Systems
Tamargo, Luciano H.
Ciencias Informáticas
Argumentation
Belief Revision
Multi-agent System
title_short Argumentative Credibility-based Revision in Multi-Agent Systems
title_full Argumentative Credibility-based Revision in Multi-Agent Systems
title_fullStr Argumentative Credibility-based Revision in Multi-Agent Systems
title_full_unstemmed Argumentative Credibility-based Revision in Multi-Agent Systems
title_sort Argumentative Credibility-based Revision in Multi-Agent Systems
dc.creator.none.fl_str_mv Tamargo, Luciano H.
García, Alejandro Javier
Thimm, Matthias
Krümpelmann, Patrick
author Tamargo, Luciano H.
author_facet Tamargo, Luciano H.
García, Alejandro Javier
Thimm, Matthias
Krümpelmann, Patrick
author_role author
author2 García, Alejandro Javier
Thimm, Matthias
Krümpelmann, Patrick
author2_role author
author
author
dc.subject.none.fl_str_mv Ciencias Informáticas
Argumentation
Belief Revision
Multi-agent System
topic Ciencias Informáticas
Argumentation
Belief Revision
Multi-agent System
dc.description.none.fl_txt_mv We consider the problem of belief revision in a multi-agent system with information stemming from different agents with different degrees of credibility. In this context an agent has to carefully choose which information is to be accepted for revision in order to avoid believing in faulty and untrustworthy information. We propose a revision process combining selective revision, deductive argumentation, and credibility information for the adequate handling of information in this complex scenario. New information is evaluated based on the credibility of the source in combination with all arguments favoring and opposing the new information. The evaluation process determines which part of the new information is to be accepted for revision and thereupon incorporated into the belief base by an appropriate revision operator. We demonstrate the benefits of our approach, investigate formal properties, and show that it outperforms the baseline approach without argumentation.
Sociedad Argentina de Informática e Investigación Operativa
description We consider the problem of belief revision in a multi-agent system with information stemming from different agents with different degrees of credibility. In this context an agent has to carefully choose which information is to be accepted for revision in order to avoid believing in faulty and untrustworthy information. We propose a revision process combining selective revision, deductive argumentation, and credibility information for the adequate handling of information in this complex scenario. New information is evaluated based on the credibility of the source in combination with all arguments favoring and opposing the new information. The evaluation process determines which part of the new information is to be accepted for revision and thereupon incorporated into the belief base by an appropriate revision operator. We demonstrate the benefits of our approach, investigate formal properties, and show that it outperforms the baseline approach without argumentation.
publishDate 2012
dc.date.none.fl_str_mv 2012-08
dc.type.none.fl_str_mv info:eu-repo/semantics/conferenceObject
info:eu-repo/semantics/publishedVersion
Objeto de conferencia
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info:ar-repo/semantics/documentoDeConferencia
format conferenceObject
status_str publishedVersion
dc.identifier.none.fl_str_mv http://sedici.unlp.edu.ar/handle/10915/123738
url http://sedici.unlp.edu.ar/handle/10915/123738
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/url/https://41jaiio.sadio.org.ar/sites/default/files/12_ASAI_2012.pdf
info:eu-repo/semantics/altIdentifier/issn/1850-2784
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
http://creativecommons.org/licenses/by-nc-sa/4.0/
Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)
eu_rights_str_mv openAccess
rights_invalid_str_mv http://creativecommons.org/licenses/by-nc-sa/4.0/
Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)
dc.format.none.fl_str_mv application/pdf
128-139
dc.source.none.fl_str_mv reponame:SEDICI (UNLP)
instname:Universidad Nacional de La Plata
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reponame_str SEDICI (UNLP)
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instname_str Universidad Nacional de La Plata
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repository.name.fl_str_mv SEDICI (UNLP) - Universidad Nacional de La Plata
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