dc.creatorBudán, Paola D.
dc.creatorBudán, Maximiliano Celmo David
dc.creatorSimari, Guillermo Ricardo
dc.date2012-10
dc.date2012-10
dc.date2012-11-05T13:18:37Z
dc.identifierhttp://sedici.unlp.edu.ar/handle/10915/23615
dc.descriptionThe research in argumentation has produce systems with a human-like mechanism for commonsense reasoning. One form of repre- senting arguments is called Argumentation Schemes, in which are argu- ment forms that represent inferential structures of arguments used in everyday discourse, and in special contexts like legal argumentation, sci- enti c argumentation, and especially in AI. One type of argumentation scheme corresponds to appeal to Expert Opinion or Position-to-Know argumentation. Position-to-know reasoning is typically used in an infor- mation seeking type of dialogue where one has to depend on a source. Most of such argumentation frameworks are based on Dung's seminal work characterizing Abstract Argumentation Frameworks. In this work we introduce a novel framework, called Expert Argumentation Framework (EAF), extending AF with the capability of modeling the quality of expert associated with the arguments that proposed.
dc.descriptionEje: Workshop Agentes y sistemas inteligentes (WASI)
dc.descriptionRed de Universidades con Carreras en Informática (RedUNCI)
dc.formatapplication/pdf
dc.languageen
dc.relationXVIII Congreso Argentino de Ciencias de la Computación
dc.rightshttp://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.rightsCreative Commons Attribution-NonCommercial-ShareAlike 2.5 Argentina (CC BY-NC-SA 2.5)
dc.subjectCiencias Informáticas
dc.titleA preliminary study of argumentation frameworks and argumentation schemes that appeal to expert opinion
dc.typeObjeto de conferencia
dc.typeObjeto de conferencia


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