{"ID":2897530,"CreatedAt":"2026-06-01T04:54:23.091178241Z","UpdatedAt":"2026-06-01T04:54:23.091178241Z","DeletedAt":null,"paper_url":"https://arxiv.org/abs/2507.04994","arxiv_id":"2507.04994","title":"Supported Abstract Argumentation for Case-Based Reasoning","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","short_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 precurs...","url_abs":"https://arxiv.org/abs/2507.04994","url_pdf":"https://arxiv.org/pdf/2507.04994v1","authors":"[\"Adam Gould\",\"Gabriel de Olim Gaul\",\"Francesca Toni\"]","published":"2025-07-07T13:32:08Z","proceeding":"cs.AI","tasks":"[\"cs.AI\"]","methods":"[]","has_code":false}