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Methods for solving reasoning problems in abstract argumentation – A survey

Within the last decade, abstract argumentation has emerged as a central field in Artificial Intelligence. Besides providing a core formalism for many advanced argumentation systems, abstract argumentation has also served to capture several non-monotonic logics and other AI related principles. Althou...

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Detalles Bibliográficos
Autores principales: Charwat, Günther, Dvořák, Wolfgang, Gaggl, Sarah A., Wallner, Johannes P., Woltran, Stefan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: North Holland Publishing 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4318991/
https://www.ncbi.nlm.nih.gov/pubmed/25737590
http://dx.doi.org/10.1016/j.artint.2014.11.008
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author Charwat, Günther
Dvořák, Wolfgang
Gaggl, Sarah A.
Wallner, Johannes P.
Woltran, Stefan
author_facet Charwat, Günther
Dvořák, Wolfgang
Gaggl, Sarah A.
Wallner, Johannes P.
Woltran, Stefan
author_sort Charwat, Günther
collection PubMed
description Within the last decade, abstract argumentation has emerged as a central field in Artificial Intelligence. Besides providing a core formalism for many advanced argumentation systems, abstract argumentation has also served to capture several non-monotonic logics and other AI related principles. Although the idea of abstract argumentation is appealingly simple, several reasoning problems in this formalism exhibit high computational complexity. This calls for advanced techniques when it comes to implementation issues, a challenge which has been recently faced from different angles. In this survey, we give an overview on different methods for solving reasoning problems in abstract argumentation and compare their particular features. Moreover, we highlight available state-of-the-art systems for abstract argumentation, which put these methods to practice.
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spelling pubmed-43189912015-03-01 Methods for solving reasoning problems in abstract argumentation – A survey Charwat, Günther Dvořák, Wolfgang Gaggl, Sarah A. Wallner, Johannes P. Woltran, Stefan Artif Intell Article Within the last decade, abstract argumentation has emerged as a central field in Artificial Intelligence. Besides providing a core formalism for many advanced argumentation systems, abstract argumentation has also served to capture several non-monotonic logics and other AI related principles. Although the idea of abstract argumentation is appealingly simple, several reasoning problems in this formalism exhibit high computational complexity. This calls for advanced techniques when it comes to implementation issues, a challenge which has been recently faced from different angles. In this survey, we give an overview on different methods for solving reasoning problems in abstract argumentation and compare their particular features. Moreover, we highlight available state-of-the-art systems for abstract argumentation, which put these methods to practice. North Holland Publishing 2015-03 /pmc/articles/PMC4318991/ /pubmed/25737590 http://dx.doi.org/10.1016/j.artint.2014.11.008 Text en © 2015 The Authors http://creativecommons.org/licenses/by/4.0/ This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Charwat, Günther
Dvořák, Wolfgang
Gaggl, Sarah A.
Wallner, Johannes P.
Woltran, Stefan
Methods for solving reasoning problems in abstract argumentation – A survey
title Methods for solving reasoning problems in abstract argumentation – A survey
title_full Methods for solving reasoning problems in abstract argumentation – A survey
title_fullStr Methods for solving reasoning problems in abstract argumentation – A survey
title_full_unstemmed Methods for solving reasoning problems in abstract argumentation – A survey
title_short Methods for solving reasoning problems in abstract argumentation – A survey
title_sort methods for solving reasoning problems in abstract argumentation – a survey
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4318991/
https://www.ncbi.nlm.nih.gov/pubmed/25737590
http://dx.doi.org/10.1016/j.artint.2014.11.008
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