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Legal idioms: a framework for evidential reasoning

机译:法律习语:证据推理的框架

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摘要

How do people make legal judgments based on complex bodies of interrelated evidence? This paper outlines a novel framework for evidential reasoning using causal idioms. These idioms are based on the qualitative graphical component of Bayesian networks, and are tailored to the legal context. They can be combined and reused to model complex bodies of legal evidence. This approach is applied to witness and alibi testimony, and is illustrated with a real legal case. We show how the framework captures critical aspects of witness reliability, and the potential interrelations between witness reliabilities and other hypotheses and evidence. We report a brief empirical study on the interpretation of alibi evidence, and show that people's intuitive inferences fit well with the qualitative aspects of the idiom-based framework.
机译:人们如何根据相互关联的证据的复杂性做出法律判断?本文概述了使用因果习语进行证据推理的新颖框架。这些习语基于贝叶斯网络的定性图形组件,并针对法律环境进行了量身定制。可以将它们组合并重用以建模复杂的法律证据。这种方法适用于证人和不在场证词,并以一个实际的法律案例进行了说明。我们将展示该框架如何捕获证人可靠性的关键方面,以及证人可靠性与其他假设和证据之间的潜在关联。我们报告了关于无理证据的解释的简短实证研究,并表明人们的直觉推断与基于成语的框架的定性方面非常吻合。

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  • 来源
    《Argument & computation》 |2013年第1期|46-63|共18页
  • 作者单位

    Department of Cognitive, Perceptual & Brain Science, University College London, Gower Street, London WC1E 6BT, UK;

    School of Electronic Engineering and Computer Science, Queen Mary University of London, London El 4NS, UK;

    School of Electronic Engineering and Computer Science, Queen Mary University of London, London El 4NS, UK;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Bayesian networks; evidential reasoning; legal argument; alibi evidence;

    机译:贝叶斯网络;证据推理;法律论点不在场证据;
  • 入库时间 2022-08-18 02:11:15

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