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Artículo

A survey of different approaches to support in argumentation systems

Cohen, AndreaIcon ; Gottifredi, SebastiánIcon ; García, Alejandro JavierIcon ; Simari, Guillermo RicardoIcon
Fecha de publicación: 11/2013
Editorial: Cambridge University Press
Revista: Knowledge Engineering Review
ISSN: 0269-8889
Idioma: Inglés
Tipo de recurso: Artículo publicado
Clasificación temática:
Ciencias de la Computación

Resumen

In the last decades, most works in the literature have been devoted to study argumentation formalisms that focus on a defeat relation among arguments. Recently, the study of a support relation between arguments regained attention among researchers; the bulk of the research has been centered on the study of support within the context of abstract argumentation by considering support as an explicit interaction between arguments. However, there exist other approaches that take support into account in a different setting. This article surveys several interpretations of the notion of support as proposed in the literature, such as deductive support, necessary support, evidential support, subargument, and backing, among others. The aim is to provide a comprehensive study where similarities and differences among these interpretations are highlighted, as well as discuss how they are addressed by different argumentation formalisms.
Palabras clave: Argumentation , Abstract Argumentation , Argument Support
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info:eu-repo/semantics/openAccess Excepto donde se diga explícitamente, este item se publica bajo la siguiente descripción: Creative Commons Attribution-NonCommercial-ShareAlike 2.5 Unported (CC BY-NC-SA 2.5)
Identificadores
URI: http://hdl.handle.net/11336/21611
DOI: http://dx.doi.org/10.1017/S0269888913000325
URL: https://www.cambridge.org/core/journals/knowledge-engineering-review/article/a-s
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Articulos(CCT - BAHIA BLANCA)
Articulos de CTRO.CIENTIFICO TECNOL.CONICET - BAHIA BLANCA
Citación
Cohen, Andrea; Gottifredi, Sebastián; García, Alejandro Javier; Simari, Guillermo Ricardo; A survey of different approaches to support in argumentation systems; Cambridge University Press; Knowledge Engineering Review; 29; 5; 11-2013; 513-550
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