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Conference Papers Year : 2020

Sets of Attacking Arguments for Inconsistent Datalog Knowledge Bases

Bruno Yun
Srdjan Vesic
Madalina Croitoru

Abstract

Logic-based argumentation is a well-known approach for reasoning with inconsistent logic knowledge bases. Such frameworks have been shown to suffer from a major practical drawback consisting of a large number of arguments and attacks. To address this issue, we provide an argumentation framework that considers sets of attacking arguments and provide a theoretical analysis of the new framework with respect to its syntactic and semantic properties. We provide a tool for generating such argumentation frameworks from a Datalog knowledge base and study their characteristics.
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Dates and versions

hal-03002140 , version 1 (12-11-2020)

Licence

Attribution - NonCommercial

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Bruno Yun, Srdjan Vesic, Madalina Croitoru. Sets of Attacking Arguments for Inconsistent Datalog Knowledge Bases. COMMA 2020 - 8th International Conference on Computational Models of Argument, Sep 2020, Perugia / Virtual), Italy. pp.419-430, ⟨10.3233/FAIA200526⟩. ⟨hal-03002140⟩
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