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AF-XRAY: Visual Explanation and Resolution of Ambiguity in Legal Argumentation Frameworks
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本文介绍了AF-XRAY,一款用于探索、分析和可视化法律推理抽象框架的开源工具。该工具通过多种可视化方法帮助用户识别模糊性来源,并解释论证接受过程。

arXiv:2507.10831v1 Announce Type: new Abstract: Argumentation frameworks (AFs) provide formal approaches for legal reasoning, but identifying sources of ambiguity and explaining argument acceptance remains challenging for non-experts. We present AF-XRAY, an open-source toolkit for exploring, analyzing, and visualizing abstract AFs in legal reasoning. AF-XRAY introduces: (i) layered visualizations based on game-theoretic argument length revealing well-founded derivation structures; (ii) classification of attack edges by semantic roles (primary, secondary, blunders); (iii) overlay visualizations of alternative 2-valued solutions on ambiguous 3-valued grounded semantics; and (iv) identification of critical attack sets whose suspension resolves undecided arguments. Through systematic generation of critical attack sets, AF-XRAY transforms ambiguous scenarios into grounded solutions, enabling users to pinpoint specific causes of ambiguity and explore alternative resolutions. We use real-world legal cases (e.g., Wild Animals as modeled by Bench-Capon) to show that our tool supports teleological legal reasoning by revealing how different assumptions lead to different justified conclusions.

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法律推理 抽象框架 可视化工具 AF-XRAY 模糊性分析
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