Javascript must be enabled for the correct page display

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.

[img]
Preview
Text
AI_BA_2015_L.A.Noteboom.pdf - Published Version

Download (231kB) | Preview
[img] 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:
Supervisor nameSupervisor E mail
Vlek, C.S.UNSPECIFIED
Verheij, B.UNSPECIFIED
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: http://fse.studenttheses.ub.rug.nl/id/eprint/12520

Actions (login required)

View Item View Item