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Artificial Intelligence and Law
Erschienen in: Artificial Intelligence and Law 4/2014

01.12.2014

Building Bayesian networks for legal evidence with narratives: a case study evaluation

verfasst von: Charlotte S. Vlek, Henry Prakken, Silja Renooij, Bart Verheij

Erschienen in: Artificial Intelligence and Law | Ausgabe 4/2014

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Abstract

In a criminal trial, evidence is used to draw conclusions about what happened concerning a supposed crime. Traditionally, the three main approaches to modeling reasoning with evidence are argumentative, narrative and probabilistic approaches. Integrating these three approaches could arguably enhance the communication between an expert and a judge or jury. In previous work, techniques were proposed to represent narratives in a Bayesian network and to use narratives as a basis for systematizing the construction of a Bayesian network for a legal case. In this paper, these techniques are combined to form a design method for constructing a Bayesian network based on narratives. This design method is evaluated by means of an extensive case study concerning the notorious Dutch case of the Anjum murders.
Vorheriger Artikel Measuring the complexity of the law: the United States Code
Nächster Artikel Baseballs and arguments from fairness

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Metadaten
Titel
Building Bayesian networks for legal evidence with narratives: a case study evaluation
verfasst von
Charlotte S. Vlek
Henry Prakken
Silja Renooij
Bart Verheij
Publikationsdatum
01.12.2014
Verlag
Springer Netherlands
Erschienen in
Artificial Intelligence and Law / Ausgabe 4/2014
Print ISSN: 0924-8463
Elektronische ISSN: 1572-8382
DOI
https://doi.org/10.1007/s10506-014-9161-7

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