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Complexity Classifications for Logic-Based Argumentation

Complexity Classifications for Logic-Based Argumentation Complexity Classifications for Logic-Based Argumentation NADIA CREIGNOU, Aix-Marseille Universit´ , CNRS e ¨ UWE EGLY, Technische Universitat Wien JOHANNES SCHMIDT*, Link¨ ping University o We consider logic-based argumentation in which an argument is a pair ( , ), where the support is a minimal consistent set of formulae taken from a given knowledge base (usually denoted by ) that entails the claim (a formula). We study the complexity of three central problems in argumentation: the existence of a support , the verification of a support, and the relevance problem (given , is there a support such that ?). When arguments are given in the full language of propositional logic, these problems p are computationally costly tasks: the verification problem is DP-complete; the others are 2 -complete. We study these problems in Schaefer's famous framework where the considered propositional formulae are in generalized conjunctive normal form. This means that formulae are conjunctions of constraints built upon a fixed finite set of Boolean relations (the constraint language). We show that according to the properties of this language , deciding whether there exists a support for a claim in a given knowledge base is either p polynomial, NP-complete, coNP-complete, or 2 http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png ACM Transactions on Computational Logic (TOCL) Association for Computing Machinery

Complexity Classifications for Logic-Based Argumentation

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References (33)

Publisher
Association for Computing Machinery
Copyright
Copyright © 2014 by ACM Inc.
ISSN
1529-3785
DOI
10.1145/2629421
Publisher site
See Article on Publisher Site

Abstract

Complexity Classifications for Logic-Based Argumentation NADIA CREIGNOU, Aix-Marseille Universit´ , CNRS e ¨ UWE EGLY, Technische Universitat Wien JOHANNES SCHMIDT*, Link¨ ping University o We consider logic-based argumentation in which an argument is a pair ( , ), where the support is a minimal consistent set of formulae taken from a given knowledge base (usually denoted by ) that entails the claim (a formula). We study the complexity of three central problems in argumentation: the existence of a support , the verification of a support, and the relevance problem (given , is there a support such that ?). When arguments are given in the full language of propositional logic, these problems p are computationally costly tasks: the verification problem is DP-complete; the others are 2 -complete. We study these problems in Schaefer's famous framework where the considered propositional formulae are in generalized conjunctive normal form. This means that formulae are conjunctions of constraints built upon a fixed finite set of Boolean relations (the constraint language). We show that according to the properties of this language , deciding whether there exists a support for a claim in a given knowledge base is either p polynomial, NP-complete, coNP-complete, or 2

Journal

ACM Transactions on Computational Logic (TOCL)Association for Computing Machinery

Published: Aug 1, 2014

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