From structured to abstract argumentation: Assumption-based acceptance via AF reasoning

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Abstract

We study the applicability of abstract argumentation (AF) reasoners in efficiently answering acceptability queries over assumption-based argumentation (ABA) frameworks, one of the prevalent forms of structured argumentation. We provide a refined algorithm for translating ABA frameworks to AFs allowing the use of AF reasoning to answer ABA acceptability queries, covering credulous and skeptical acceptance problems over ABAs in a seamless way under several argumentation semantics. We empirically show that the approach is complementary with a state-of-the-art ABA reasoning system.

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Lehtonen, T., Wallner, J. P., & Järvisalo, M. (2017). From structured to abstract argumentation: Assumption-based acceptance via AF reasoning. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 10369 LNAI, pp. 57–68). Springer Verlag. https://doi.org/10.1007/978-3-319-61581-3_6

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