mlsanityData to 14 Oct 2026

Supported Abstract Argumentation for Case-Based Reasoning

arXiv 2507.04994 ↗First posted 7 Jul 2025cs.AIcited by 1

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Abstract (arXiv)

We introduce Supported Abstract Argumentation for Case-Based Reasoning (sAA-CBR), a binary classification model in which past cases engage in debates by arguing in favour of their labelling and attacking or supporting those with opposing or agreeing labels. With supports, sAA-CBR overcomes the limitation of its precursor AA-CBR, which can contain extraneous cases (or spikes) that are not included in the debates. We prove that sAA-CBR contains no spikes, without trading off key model properties

Key facts. Cited by 1 paper in the map (data through 14 Oct 2026). Builds on 2 of its 8 references that are in the map. First posted on arXiv 7 Jul 2025.

Builds on

2 of 8 references.

References · 2

  1. 2021Monotonicity and Noise-Tolerance in Case-Based Reasoning with Abstract Argumentation (with Appendix)cited by 6
  2. 2024Preference-Based Abstract Argumentation for Case-Based Reasoning (with Appendix)cited by 4

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Citing papers per year: 2025: 1.

1 paper.

  1. 2025Object-Centric Case-Based Reasoning via Argumentationcited by 1