mlsanityData to 7 Oct 2026

Contrastive Explanations for Argumentation-Based Conclusions

arXiv 2107.03265 ↗First posted 7 Jul 2021cs.AIcited by 4

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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

  1. 2017Explanation in Artificial Intelligence: Insights from the Social Sciencescited by 1,201
  2. 2018Explanations based on the Missing: Towards Contrastive Explanations with Pertinent Negativescited by 261
  3. 2017Explainable Artificial Intelligence: Understanding, Visualizing and Interpreting Deep Learning Modelscited by 202
  4. 2019Towards Explainable Artificial Intelligencecited by 106
  5. 2021Argumentative XAI: A Surveycited by 66
  6. 2018Contrastive Explanation: A Structural-Model Approachcited by 64
  7. 2018Contrastive Explanations with Local Foil Treescited by 34

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2022: 1; 2023: 0; 2024: 1; 2025: 0; 2026: 2.

4 papers.