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dc.contributor.author
Tamargo, Luciano Héctor
dc.contributor.author
García, Alejandro Javier
dc.contributor.author
Falappa, Marcelo Alejandro
dc.contributor.author
Simari, Guillermo Ricardo
dc.date.available
2017-08-02T19:21:20Z
dc.date.issued
2014-07
dc.identifier.citation
Tamargo, Luciano Héctor; García, Alejandro Javier; Falappa, Marcelo Alejandro; Simari, Guillermo Ricardo; On the revision of informant credibility orders; Elsevier; Artificial Intelligence; 212; 7-2014; 36-58
dc.identifier.issn
0004-3702
dc.identifier.uri
http://hdl.handle.net/11336/21763
dc.description.abstract
In this paper we propose an approach to multi-source belief revision where the trust or credibility assigned to informant agents can be revised. In our proposal, the credibility of each informant represented as a strict partial order among informant agents, will be maintained in a repository called credibility base. Upon arrival of new information concerning the credibility of its peers, an agent will be capable of revising this strict partial order, changing the trust assigned to its peers accordingly. Our goal is to formalize a set of change operators over the credibility base: expansion, contraction, prioritized, and non-prioritized revision. These operators will provide the capability of dynamically modifying the credibility of informants considering the reliability of the information. This dynamics will reflect a new perception of trust assigned to the informant, or extend the set of informants by admitting the addition of new informant agents.
dc.format
application/pdf
dc.language.iso
eng
dc.publisher
Elsevier
dc.rights
info:eu-repo/semantics/openAccess
dc.rights.uri
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.subject
Belief Revision
dc.subject
Trust
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Multi-Agent System
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Credibility Orders
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Multi Source Belief Revision
dc.subject.classification
Otras Ciencias de la Computación e Información
dc.subject.classification
Ciencias de la Computación e Información
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CIENCIAS NATURALES Y EXACTAS
dc.title
On the revision of informant credibility orders
dc.type
info:eu-repo/semantics/article
dc.type
info:ar-repo/semantics/artículo
dc.type
info:eu-repo/semantics/publishedVersion
dc.date.updated
2017-07-31T21:44:58Z
dc.journal.volume
212
dc.journal.pagination
36-58
dc.journal.pais
Países Bajos
dc.journal.ciudad
Ámsterdam
dc.description.fil
Fil: Tamargo, Luciano Héctor. Universidad Nacional del Sur; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
dc.description.fil
Fil: García, Alejandro Javier. Universidad Nacional del Sur; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
dc.description.fil
Fil: Falappa, Marcelo Alejandro. Universidad Nacional del Sur; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
dc.description.fil
Fil: Simari, Guillermo Ricardo. Universidad Nacional del Sur; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
dc.journal.title
Artificial Intelligence
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/doi/http://dx.doi.org/10.1016/j.artint.2014.03.006
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/url/http://www.sciencedirect.com/science/article/pii/S0004370214000344
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