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dc.date.accessioned 2012-11-16T14:41:01Z
dc.date.available 2012-11-16T14:41:01Z
dc.date.issued 1995-10
dc.identifier.uri http://sedici.unlp.edu.ar/handle/10915/24322
dc.description.abstract Within the approximate reasoning Cramework, several systems oC modallogic have been proposed to formalize several kinds oC reasoning models ([MP94], [HM92], [FH91]). In particular, in [EGG95] a Kripke model-like theory for a logic of graded necessity and possibility operators is presented to model similarity-based reasoning. In this paper, we propose an axiomatization for this logic and we show that it is sound and complete with respect to classes oC models based where the accesibility relation is defined in terms of fuzzy similarity relations on the set oC possible worlds. Finally, we indicate how this logic can be used to characterize several graded entailments proposed in [DEG*95]. en
dc.format.extent 426-437 es
dc.language en es
dc.subject ARTIFICIAL INTELLIGENCE es
dc.subject Similarity Function en
dc.subject Graded Modal Logic en
dc.subject Graded Entailment en
dc.title Similarity-based graded modal logic en
dc.type Objeto de conferencia es
sedici.creator.person Garcia, Pere es
sedici.creator.person Godo, Lluís es
sedici.creator.person Rodríguez, Ricardo es
sedici.description.note Eje: 2do. Workshop sobre aspectos teóricos de la inteligencia artificial 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.date.exposure 1995-10
sedici.relation.event I 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) Excepto donde se diga explícitamente, este item se publica bajo la siguiente licencia Creative Commons Attribution-NonCommercial-ShareAlike 2.5 Argentina (CC BY-NC-SA 2.5)