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Beyond But-for Test: Counterfactual Explanation in Abstract Argumentation via Actual Causality (Extended Version)

arXiv 2606.31080 ↗First posted 30 Jun 2026cs.LO cs.AIcited by 0

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Abstract (arXiv)

Counterfactual explanation in abstract argumentation calls for an answer to the what-if query: would the topic argument still be accepted if the status of certain other arguments were changed? Existing approaches are limited to the but-for test and fail to accommodate more refined counterfactual conditions. To overcome these limitations, we introduce an intervention-based counterfactual reasoning framework in abstract argumentation. Our approach encodes the acceptance conditions of arguments as equations, then defines an intervention operator that supports (1) changing sets of arguments simultaneously, and (2) fixing witness arguments to their actual labels. Guided by the refined counterfactual condition introduced in the Halpern-Pearl definition, our method goes beyond the but-for test, thereby correctly identifying causes in argumentation structures such as Preemption and Overdetermination. Through comparison, we show that our method surpasses prior methods in both expressiveness and reliability.

Key facts. No citing papers in the map yet (data through 14 Oct 2026). Builds on 4 of its 33 references that are in the map. First posted on arXiv 30 Jun 2026.

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References · 4

  1. 2017Explanation in Artificial Intelligence: Insights from the Social Sciencescited by 1,206
  2. 2021Argumentative XAI: A Surveycited by 67
  3. 2015A Modification of the Halpern-Pearl Definition of Causalitycited by 47
  4. 2024Counterfactual and Semifactual Explanations in Abstract Argumentation: Formal Foundations, Complexity and Computationcited by 2

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