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A survey of different approaches to support in argumentation systems

Authors :
Andrea Cohen
Guillermo Ricardo Simari
Sebastián Gottifredi
Alejandro Javier García
Source :
The Knowledge Engineering Review. 29:513-550
Publication Year :
2013
Publisher :
Cambridge University Press (CUP), 2013.

Abstract

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. Fil: Cohen, Andrea. Universidad Nacional del Sur. Departamento de Ciencias e Ingeniería de la Computacion; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina Fil: Gottifredi, Sebastián. Universidad Nacional del Sur. Departamento de Ciencias e Ingeniería de la Computacion; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina Fil: García, Alejandro Javier. Universidad Nacional del Sur. Departamento de Ciencias e Ingeniería de la Computacion; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina Fil: Simari, Guillermo Ricardo. Universidad Nacional del Sur. Departamento de Ciencias e Ingeniería de la Computacion; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina

Details

ISSN :
14698005 and 02698889
Volume :
29
Database :
OpenAIRE
Journal :
The Knowledge Engineering Review
Accession number :
edsair.doi.dedup.....795470943d66731d633420725cd306f1