Contrastive Explanations for Argumentation-Based Conclusions
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Abstract (arXiv)
In this paper we discuss contrastive explanations for formal argumentation - the question why a certain argument (the fact) can be accepted, whilst another argument (the foil) cannot be accepted under various extension-based semantics. The recent work on explanations for argumentation-based conclusions has mostly focused on providing minimal explanations for the (non-)acceptance of arguments. What is still lacking, however, is a proper argumentation-based interpretation of contrastive explanations. We show under which conditions contrastive explanations in abstract and structured argumentation are meaningful, and how argumentation allows us to make implicit foils explicit.
Key facts. Cited by 4 papers in the map (data through 7 Oct 2026). Builds on 7 of its 39 references that are in the map. First posted on arXiv 7 Jul 2021.
Builds on
7 of 39 references.
References · 7
- 2017Explanation in Artificial Intelligence: Insights from the Social Sciencescited by 1,201
- 2018Explanations based on the Missing: Towards Contrastive Explanations with Pertinent Negativescited by 261
- 2017Explainable Artificial Intelligence: Understanding, Visualizing and Interpreting Deep Learning Modelscited by 202
- 2019Towards Explainable Artificial Intelligencecited by 106
- 2021Argumentative XAI: A Surveycited by 66
- 2018Contrastive Explanation: A Structural-Model Approachcited by 64
- 2018Contrastive Explanations with Local Foil Treescited by 34
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Citing papers per year: 2022: 1; 2023: 0; 2024: 1; 2025: 0; 2026: 2.
4 papers.
- 2024Impact Measures for Gradual Argumentation Semanticscited by 5
- 2022A Concept and Argumentation based Interpretable Model in High Risk Domainscited by 0
- 2026Rethinking Explanations: Formalizing Contrast in Description Logicscited by 0
- 2026SoK: Formal Methods for Fact-Checking and Information Integritycited by 0
- 2026SoK: Formal Methods for Fact-Checking and Information Integrity19 Sep 2026
- 2026Rethinking Explanations: Formalizing Contrast in Description Logics2 May 2026
- 2024Impact Measures for Gradual Argumentation Semantics11 Jul 2024
- 2022A Concept and Argumentation based Interpretable Model in High Risk Domains17 Aug 2022