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Explainable Logic-Based Argumentation
Ofer Arieli, AnneMarie Borg, Matthis Hesse, Christian Strasser
32 - 43
10.3233/FAIA220139
Research Article
Frontiers in Artificial Intelligence and Applications
Volume 353: Computational Models of Argument
Abstract

Explainable artificial intelligence (XAI) has gained increasing interest in recent years in the argumentation community. In this paper we consider this topic in the context of logic-based argumentation, showing that the latter is a particularly promising paradigm for facilitating explainable AI. In particular, we provide two representations of abductive reasoning by sequent-based argumentation frameworks and show that such frameworks successfully cope with related challenges, such as the handling of synonyms, justifications, and logical equivalences.

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