Wamel Case Study: Evaluating a Method for Reasoning with Legal Evidence

Noteboom, L.A. (2015) Wamel Case Study: Evaluating a Method for Reasoning with Legal Evidence. Bachelor's Thesis, Artificial Intelligence.

Preview	Text AI_BA_2015_L.A.Noteboom.pdf - Published Version Download (231kB) | Preview
	Text toestemming.pdf - Other Restricted to Backend only Download (20kB)

Abstract

In a criminal trial, a judge or jury needs to reason with the available evidence to find out what happened before they can reach a verdict. In Vlek et al. (2014) a method was developed to assist reasoning with legal evidence. This method uses Bayesian networks and scenarios, where the Bayesian network is used for a probabilistic approach and the scenarios are used for a narrative approach. In this project we have tested the method from Vlek et al. (2014) on a case study of the Wamel murder. The evaluation of the method is based on several criteria that address common difficulties in legal reasoning. As a result we found that there are several benefits of the method, although there is still room for improvement.

Item Type:	Thesis (Bachelor's Thesis)
Supervisor name:	Vlek, C.S. and Verheij, B.
Degree programme:	Artificial Intelligence
Thesis type:	Bachelor's Thesis
Language:	English
Date Deposited:	15 Feb 2018 08:02
Last Modified:	02 May 2019 11:03
URI:	https://fse.studenttheses.ub.rug.nl/id/eprint/12520

Actions (login required)

View Item