Merging existential rules programs in multi-agent contexts through credibility accrual
Merging operators represent a significant tool to extract a consistent and informative view from a set of agents. The consideration of practical scenarios where some agents can be more credible than others has contributed to substantially increase the interest in developing systems working with trus...
| Autores: | , , , , |
|---|---|
| Tipo de recurso: | artículo |
| Estado: | Versión publicada |
| Fecha de publicación: | 2020 |
| País: | Argentina |
| Institución: | Consejo Nacional de Investigaciones Científicas y Técnicas |
| Repositorio: | CONICET Digital (CONICET) |
| Idioma: | inglés |
| OAI Identifier: | oai:ri.conicet.gov.ar:11336/142511 |
| Acceso en línea: | http://hdl.handle.net/11336/142511 |
| Access Level: | acceso abierto |
| Palabra clave: | BELIEF ACCRUAL BELIEF REVISION MULTI-AGENT SYSTEMS ONTOLOGIES MERGING TRUST https://purl.org/becyt/ford/1.2 https://purl.org/becyt/ford/1 |
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Argentina |
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| dc.title.none.fl_str_mv |
Merging existential rules programs in multi-agent contexts through credibility accrual |
| title |
Merging existential rules programs in multi-agent contexts through credibility accrual |
| spellingShingle |
Merging existential rules programs in multi-agent contexts through credibility accrual Deagustini, Cristhian Ariel David BELIEF ACCRUAL BELIEF REVISION MULTI-AGENT SYSTEMS ONTOLOGIES MERGING TRUST https://purl.org/becyt/ford/1.2 https://purl.org/becyt/ford/1 |
| title_short |
Merging existential rules programs in multi-agent contexts through credibility accrual |
| title_full |
Merging existential rules programs in multi-agent contexts through credibility accrual |
| title_fullStr |
Merging existential rules programs in multi-agent contexts through credibility accrual |
| title_full_unstemmed |
Merging existential rules programs in multi-agent contexts through credibility accrual |
| title_sort |
Merging existential rules programs in multi-agent contexts through credibility accrual |
| dc.creator.none.fl_str_mv |
Deagustini, Cristhian Ariel David Teze, Juan Carlos Lionel Martinez, Maria Vanina Falappa, Marcelo Alejandro Simari, Guillermo Ricardo |
| author |
Deagustini, Cristhian Ariel David |
| author_facet |
Deagustini, Cristhian Ariel David Teze, Juan Carlos Lionel Martinez, Maria Vanina Falappa, Marcelo Alejandro Simari, Guillermo Ricardo |
| author_role |
author |
| author2 |
Teze, Juan Carlos Lionel Martinez, Maria Vanina Falappa, Marcelo Alejandro Simari, Guillermo Ricardo |
| author2_role |
author author author author |
| dc.subject.none.fl_str_mv |
BELIEF ACCRUAL BELIEF REVISION MULTI-AGENT SYSTEMS ONTOLOGIES MERGING TRUST https://purl.org/becyt/ford/1.2 https://purl.org/becyt/ford/1 |
| topic |
BELIEF ACCRUAL BELIEF REVISION MULTI-AGENT SYSTEMS ONTOLOGIES MERGING TRUST https://purl.org/becyt/ford/1.2 https://purl.org/becyt/ford/1 |
| description |
Merging operators represent a significant tool to extract a consistent and informative view from a set of agents. The consideration of practical scenarios where some agents can be more credible than others has contributed to substantially increase the interest in developing systems working with trust models. In this context, we propose an approach to the problem of merging knowledge in a multiagent scenario where every agent assigns to other agents a value reflecting its perception on how credible each agent is. The focus of this paper is the introduction of an operator for merging Datalog± ontologies considering agents’ credibility. We present a procedure to enhance a conflict resolution strategy by exploiting the credibility attached to a set of formulas; the approach is based on accrual functions that calculate the value of formulas according to the credibility of the agents that inform them. We show how our new operator can obtain the best-valued knowledge base among consistent bases available, according to the credibilities attached to the sources. |
| publishDate |
2020 |
| dc.date.none.fl_str_mv |
2020-11 |
| dc.type.none.fl_str_mv |
info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion http://purl.org/coar/resource_type/c_6501 info:ar-repo/semantics/articulo |
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article |
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publishedVersion |
| dc.identifier.none.fl_str_mv |
http://hdl.handle.net/11336/142511 Deagustini, Cristhian Ariel David; Teze, Juan Carlos Lionel; Martinez, Maria Vanina; Falappa, Marcelo Alejandro; Simari, Guillermo Ricardo; Merging existential rules programs in multi-agent contexts through credibility accrual; Elsevier Science Inc.; Information Sciences; 555; 11-2020; 236-259 0020-0255 CONICET Digital CONICET |
| url |
http://hdl.handle.net/11336/142511 |
| identifier_str_mv |
Deagustini, Cristhian Ariel David; Teze, Juan Carlos Lionel; Martinez, Maria Vanina; Falappa, Marcelo Alejandro; Simari, Guillermo Ricardo; Merging existential rules programs in multi-agent contexts through credibility accrual; Elsevier Science Inc.; Information Sciences; 555; 11-2020; 236-259 0020-0255 CONICET Digital CONICET |
| dc.language.none.fl_str_mv |
eng |
| language |
eng |
| dc.relation.none.fl_str_mv |
info:eu-repo/semantics/altIdentifier/url/https://www.sciencedirect.com/science/article/abs/pii/S0020025520310422 info:eu-repo/semantics/altIdentifier/doi/10.1016/j.ins.2020.10.050 |
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info:eu-repo/semantics/openAccess https://creativecommons.org/licenses/by-nc-sa/2.5/ar/ |
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openAccess |
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https://creativecommons.org/licenses/by-nc-sa/2.5/ar/ |
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application/pdf application/pdf |
| dc.publisher.none.fl_str_mv |
Elsevier Science Inc. |
| publisher.none.fl_str_mv |
Elsevier Science Inc. |
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reponame:CONICET Digital (CONICET) instname:Consejo Nacional de Investigaciones Científicas y Técnicas |
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Consejo Nacional de Investigaciones Científicas y Técnicas |
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CONICET Digital (CONICET) |
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CONICET Digital (CONICET) |
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CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas |
| repository.mail.fl_str_mv |
dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar |
| _version_ |
1799194640093544448 |
| spelling |
Merging existential rules programs in multi-agent contexts through credibility accrualDeagustini, Cristhian Ariel DavidTeze, Juan Carlos LionelMartinez, Maria VaninaFalappa, Marcelo AlejandroSimari, Guillermo RicardoBELIEF ACCRUALBELIEF REVISIONMULTI-AGENT SYSTEMSONTOLOGIES MERGINGTRUSThttps://purl.org/becyt/ford/1.2https://purl.org/becyt/ford/1Merging operators represent a significant tool to extract a consistent and informative view from a set of agents. The consideration of practical scenarios where some agents can be more credible than others has contributed to substantially increase the interest in developing systems working with trust models. In this context, we propose an approach to the problem of merging knowledge in a multiagent scenario where every agent assigns to other agents a value reflecting its perception on how credible each agent is. The focus of this paper is the introduction of an operator for merging Datalog± ontologies considering agents’ credibility. We present a procedure to enhance a conflict resolution strategy by exploiting the credibility attached to a set of formulas; the approach is based on accrual functions that calculate the value of formulas according to the credibility of the agents that inform them. We show how our new operator can obtain the best-valued knowledge base among consistent bases available, according to the credibilities attached to the sources.Fil: Deagustini, Cristhian Ariel David. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca. Instituto de Ciencias e Ingeniería de la Computación. Universidad Nacional del Sur. Departamento de Ciencias e Ingeniería de la Computación. Instituto de Ciencias e Ingeniería de la Computación; Argentina. Universidad Nacional de Entre Ríos. Facultad de Ciencias de la Administración; ArgentinaFil: Teze, Juan Carlos Lionel. Universidad Nacional de Entre Ríos. Facultad de Ciencias de la Administración; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca. Instituto de Ciencias e Ingeniería de la Computación. Universidad Nacional del Sur. Departamento de Ciencias e Ingeniería de la Computación. Instituto de Ciencias e Ingeniería de la Computación; ArgentinaFil: Martinez, Maria Vanina. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Ciudad Universitaria. Instituto de Investigación en Ciencias de la Computación. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Instituto de Investigación en Ciencias de la Computación; ArgentinaFil: Falappa, Marcelo Alejandro. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca. Instituto de Ciencias e Ingeniería de la Computación. Universidad Nacional del Sur. Departamento de Ciencias e Ingeniería de la Computación. Instituto de Ciencias e Ingeniería de la Computación; ArgentinaFil: Simari, Guillermo Ricardo. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca. Instituto de Ciencias e Ingeniería de la Computación. Universidad Nacional del Sur. Departamento de Ciencias e Ingeniería de la Computación. Instituto de Ciencias e Ingeniería de la Computación; ArgentinaElsevier Science Inc.2020-11info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/142511Deagustini, Cristhian Ariel David; Teze, Juan Carlos Lionel; Martinez, Maria Vanina; Falappa, Marcelo Alejandro; Simari, Guillermo Ricardo; Merging existential rules programs in multi-agent contexts through credibility accrual; Elsevier Science Inc.; Information Sciences; 555; 11-2020; 236-2590020-0255CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/url/https://www.sciencedirect.com/science/article/abs/pii/S0020025520310422info:eu-repo/semantics/altIdentifier/doi/10.1016/j.ins.2020.10.050info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2024-05-08T13:33:20Zoai:ri.conicet.gov.ar:11336/142511instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982024-05-08 13:33:21.042CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse |
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15.812429 |