Supported Abstract Argumentation for Case-Based Reasoning

Adam Gould, Gabriel de Olim Gaul, Francesca Toni
7/7/2025
cs.AI

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Abstract

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

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@article{gould2025supported,
  title  = {Supported Abstract Argumentation for Case-Based Reasoning},
  author = {Adam Gould and Gabriel de Olim Gaul and Francesca Toni},
  year   = {2025},
  eprint = {2507.04994},
  archivePrefix = {arXiv},
  url    = {http://arxiv.org/abs/2507.04994v1}
}

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