Artificial Intelligence and Law 21 (2):221-252 (2013)

Authors
Franco Taroni
Université de Lausanne
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
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DOI 10.1007/s10506-012-9136-5
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References found in this work BETA

The Evidential Foundations of Probabilistic Reasoning.David A. Schum - 1994 - New York, NY, USA: Wiley-Interscience.

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Citations of this work BETA

Narration in Judiciary Fact-Finding: A Probabilistic Explication.Rafal Urbaniak - 2018 - Artificial Intelligence and Law 26 (4):345-376.
Measuring coherence with Bayesian networks.Alicja Kowalewska & Rafal Urbaniak - forthcoming - Artificial Intelligence and Law:1-27.

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