| Potyka, Nico 2020. Abstract argumentation with Markov Networks. Presented at: 24th European Conference on Artificial Intelligence (ECAI 2020), Santiago de Compostela, Spain, 8-12 June 2020. Published in: Giacomo, G.D. ed. Frontiers in Artificial Intelligence and Applications. , vol.325 IOS Press, pp. 865-872. 10.3233/FAIA200177 |
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Abstract
We explain how abstract argumentation problems can be encoded as Markov networks. From a computational perspective, this allows reducing argumentation tasks like finding labellings or deciding credulous and sceptical acceptance to probabilistic inference tasks in Markov networks. From a semantical perspective, the resulting probabilistic argumentation models are interesting in their own right. In particular, they satisfy several of the properties proposed for epistemic probabilistic argumentation by Hunter and Thimm. We also consider an extension to frameworks with deductive support and show that it maintains many of the interesting guarantees of both approaches .
| Item Type: | Conference or Workshop Item - published (Paper) |
|---|---|
| Status: | Published |
| Schools: | Schools > Computer Science & Informatics |
| Publisher: | IOS Press |
| ISBN: | 978-1-64368-100-9 |
| Related URLs: | |
| Date of First Compliant Deposit: | 3 November 2026 |
| Last Modified: | 03 Nov 2026 11:19 |
| URI: | https://orca.cardiff.ac.uk/id/eprint/160224 |
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