AAAI Publications, Twenty-Ninth AAAI Conference on Artificial Intelligence

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On Computing Explanations in Argumentation
Xiuyi Fan, Francesca Toni

Last modified: 2015-02-18

Abstract


Argumentation can be viewed as a process of generating explanations. However, existing argumentation semantics are developed for identifying acceptable arguments within a set, rather than giving concrete justifications for them. In this work, we propose a new argumentation semantics, related admissibility, designed for giving explanations to arguments in both Abstract Argumentation and Assumption-based Argumentation. We identify different types of explanations defined in terms of the new semantics. We also give a correct computational counterpart for explanations using dispute forests.

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