Modeling the forensic two-trace problem with Bayesian networks

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Serval ID
serval:BIB_730395E7E714
Type
Article: article from journal or magazin.
Collection
Publications
Institution
Title
Modeling the forensic two-trace problem with Bayesian networks
Journal
Artificial Intelligence and Law
Author(s)
Gittelson Simone, Biedermann Alex, Bozza Silvia, Taroni Franco
ISSN
1572-8382
ISSN-L
0924-8463
Publication state
Published
Issued date
2013
Peer-reviewed
Oui
Volume
21
Number
2
Pages
221-252
Language
english
Abstract
The forensic two-trace problem is a perplexing inference problem introduced by Evett (J Forensic Sci Soc 27:375-381, 1987). Different possible ways of wording the competing pair of propositions (i.e., one proposition advanced by the prosecution and one proposition advanced by the defence) led to different quantifications of the value of the evidence (Meester and Sjerps in Biometrics 59:727-732, 2003). Here, we re-examine this scenario with the aim of clarifying the interrelationships that exist between the different solutions, and in this way, produce a global vision of the problem. We propose to investigate the different expressions for evaluating the value of the evidence by using a graphical approach, i.e. Bayesian networks, to model the rationale behind each of the proposed solutions and the assumptions made on the unknown parameters in this problem.
Keywords
Evaluation of evidence, Value of the evidence, Graphical probability models, Bayesian networks, Two-trace problem
Open Access
Yes
Create date
13/05/2013 12:07
Last modification date
01/10/2019 6:18
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