Artificial Intelligence and Law 21 (2):221-252 (2013)
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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
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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.
Citations of this work BETA
Narration in Judiciary Fact-Finding: A Probabilistic Explication.Rafal Urbaniak - 2018 - Artificial Intelligence and Law 26 (4):345-376.
Calculating and Understanding the Value of Any Type of Match Evidence When There Are Potential Testing Errors.Norman Fenton, Martin Neil & Anne Hsu - 2014 - Artificial Intelligence and Law 22 (1):1-28.
On Modelling Non-Probabilistic Uncertainty in the Likelihood Ratio Approach to Evidential Reasoning.Jeroen Keppens - 2014 - Artificial Intelligence and Law 22 (3):239-290.
Measuring coherence with Bayesian networks.Alicja Kowalewska & Rafal Urbaniak - forthcoming - Artificial Intelligence and Law:1-27.
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