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Author: Badran Raddaoui

Affiliation: University of Artois, France

ISBN: 978-989-758-074-1

Keyword(s): Propositional Logic, Argumentation Theory, Measuring Inconsistency.

Related Ontology Subjects/Areas/Topics: Artificial Intelligence ; Knowledge Representation and Reasoning ; Symbolic Systems

Abstract: Measuring the degree of conflict of a knowledge base can help us to deal with inconsistencies. Several semantic and syntax based approaches have been proposed separately. In this paper, we use logical argumentation as a field to compute the inconsistency measure for propositional formulae. We show using the complete argumentation tree that our family of measures is able to express finely the inconsistency of a formula following their context and allows us to distinguish between formulae. We extend our measure to quantify the degree of inconsistency of set of formulae and give a general formulation of the inconsistency using some logical properties.

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Paper citation in several formats:
Raddaoui, B. (2015). Computing Inconsistency Using Logical Argumentation.In Proceedings of the International Conference on Agents and Artificial Intelligence - Volume 2: ICAART, ISBN 978-989-758-074-1, pages 164-172. DOI: 10.5220/0005221301640172

@conference{icaart15,
author={Badran Raddaoui.},
title={Computing Inconsistency Using Logical Argumentation},
booktitle={Proceedings of the International Conference on Agents and Artificial Intelligence - Volume 2: ICAART,},
year={2015},
pages={164-172},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005221301640172},
isbn={978-989-758-074-1},
}

TY - CONF

JO - Proceedings of the International Conference on Agents and Artificial Intelligence - Volume 2: ICAART,
TI - Computing Inconsistency Using Logical Argumentation
SN - 978-989-758-074-1
AU - Raddaoui, B.
PY - 2015
SP - 164
EP - 172
DO - 10.5220/0005221301640172

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