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dc.date.accessioned 2012-10-16T14:49:57Z
dc.date.available 2012-10-16T14:49:57Z
dc.date.issued 2004
dc.identifier.uri http://sedici.unlp.edu.ar/handle/10915/22502
dc.description.abstract In this paper, we build on previous work on Belief Revision operators based on the use of logic programming with Answer Set semantics as a representation language. We present a set of postulates for Answer Set Revision with respect to a set of sentences and with respect to explanations. We focus on the non-prioritized revision operator with respect to explanations, or arguments, which is intended to model situations in which agents revise their knowledge as a result of dialogues with other agents in a multi-agent setting. en
dc.language en es
dc.subject Belief Change en
dc.subject ARTIFICIAL INTELLIGENCE es
dc.subject Intelligent agents es
dc.subject Knowledge Representation en
dc.subject Logic Programming en
dc.subject Semantics es
dc.subject Answer Set Semantics en
dc.subject AnsProlog en
dc.title Non prioritized answer set revision es
dc.type Objeto de conferencia es
sedici.creator.person Simari, Gerardo I. es
sedici.creator.person Falappa, Marcelo Alejandro es
sedici.description.note Eje: V - Workshop de agentes y sistemas inteligentes es
sedici.subject.materias Ciencias Informáticas es
sedici.description.fulltext true es
mods.originInfo.place Red de Universidades con Carreras en Informática (RedUNCI) es
sedici.subtype Objeto de conferencia es
sedici.rights.license Creative Commons Attribution-NonCommercial-ShareAlike 2.5 Argentina (CC BY-NC-SA 2.5)
sedici.rights.uri http://creativecommons.org/licenses/by-nc-sa/2.5/ar/
sedici.relation.event X Congreso Argentino de Ciencias de la Computación es
sedici.description.peerReview peer-review es


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Creative Commons Attribution-NonCommercial-ShareAlike 2.5 Argentina (CC BY-NC-SA 2.5) Except where otherwise noted, this item's license is described as Creative Commons Attribution-NonCommercial-ShareAlike 2.5 Argentina (CC BY-NC-SA 2.5)