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Change in quantitative bipolar argumentation: sufficient, necessary, and counterfactual explanations
Umeå University, Faculty of Science and Technology, Department of Computing Science. SAP Signavio, Germany.ORCID iD: 0000-0002-6458-2252
Ericsson, USA.
Umeå University.
2024 (English)In: International Journal of Approximate Reasoning, ISSN 0888-613X, E-ISSN 1873-4731, Vol. 164, article id 109066Article in journal (Refereed) Published
Abstract [en]

This paper presents a formal approach to explaining change of inference in Quantitative Bipolar Argumentation Frameworks (QBAFs). When drawing conclusions from a QBAF and updating the QBAF to then again draw conclusions (and so on), our approach traces changes – which we call strength inconsistencies – in the partial order over argument strengths that a semantics establishes on some arguments of interest, called topic arguments. We trace the causes of strength inconsistencies to specific arguments, which then serve as explanations. We identify sufficient, necessary, and counterfactual explanations for strength inconsistencies and show that strength inconsistency explanations exist if and only if an update leads to strength inconsistency. We define a heuristic-based approach to facilitate the search for strength inconsistency explanations, for which we also provide an implementation.

Place, publisher, year, edition, pages
Amsterdam: Elsevier, 2024. Vol. 164, article id 109066
Keywords [en]
quantitative argumentation, explainable AI, formal methods
National Category
Computer Sciences
Identifiers
URN: urn:nbn:se:umu:diva-216331DOI: 10.1016/j.ijar.2023.109066ISI: 001112723700001Scopus ID: 2-s2.0-85176266551OAI: oai:DiVA.org:umu-216331DiVA, id: diva2:1810753
Available from: 2023-11-09 Created: 2023-11-09 Last updated: 2025-04-24Bibliographically approved

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Kampik, Timotheus

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CiteExportLink to record
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Cite
Citation style
  • apa
  • ieee
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  • de-DE
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