Automated Discovery of Logical Fallacies in Legal Argumentation

Callistus Ireneous Nakpih, S. Santini
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引用次数: 5

Abstract

This paper presents a model of an algorithmic framework and a system for the discovery of non sequitur fallacies in legal argumentation. The model functions on formalised legal text implemented in Prolog. Different parts of the formalised legal text for legal decision-making processes such as, claim of a plaintiff, the piece of law applied to the case, and the decision of judge, will be assessed by the algorithm, for detecting fallacies in an argument. We provide a mechanism designed to assess the coherence of every premise of a claim, their logic structure and legal consistency, with their corresponding piece of law at each stage of the argumentation. The modelled system checks for validity and soundness of a claim, as well as sufficiency and necessity of the premise of arguments. We assert that, dealing with the challenges of validity, soundness, sufficiency and necessity resolves fallacies in argumentation.
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自动发现法律论证中的逻辑谬误
本文提出了一个算法框架模型和一个在法律论证中发现非推论谬误的系统。该模型对Prolog中实现的形式化法律文本起作用。该算法将评估用于法律决策过程的正式法律文本的不同部分,例如原告的索赔,适用于案件的法律部分以及法官的决定,以检测论点中的谬误。我们提供了一种机制,旨在评估索赔的每个前提的一致性,它们的逻辑结构和法律一致性,以及它们在论证的每个阶段对应的法律。模型系统检查一个主张的有效性和可靠性,以及论证前提的充分性和必要性。我们断言,处理有效性、健全性、充分性和必要性的挑战可以解决论证中的谬误。
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