Modeling the forensic two-trace problem with Bayesian networks

Détails

ID Serval
serval:BIB_730395E7E714
Type
Article: article d'un périodique ou d'un magazine.
Collection
Publications
Titre
Modeling the forensic two-trace problem with Bayesian networks
Périodique
Artificial Intelligence and Law
Auteur(s)
Gittelson Simone, Biedermann Alex, Bozza Silvia, Taroni Franco
ISSN
1572-8382
ISSN-L
0924-8463
Statut éditorial
Publié
Date de publication
2013
Peer-reviewed
Oui
Volume
21
Numéro
2
Pages
221-252
Langue
anglais
Résumé
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.
Mots-clé
Evaluation of evidence, Value of the evidence, Graphical probability models, Bayesian networks, Two-trace problem
Création de la notice
13/05/2013 13:07
Dernière modification de la notice
17/07/2018 7:54
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