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A scenario-driven decision support system for serious crime investigation

Shen, Q. and Keppens, J. and Aitken, C. and Schafer, B. and Lee, M. (2006) A scenario-driven decision support system for serious crime investigation. Law, Probability and Risk, 5 (2). pp. 87-117.

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Abstract

Consideration of a wide range of plausible crime scenarios during any crime investigation is important to seek convincing evidence and hence to minimize the likelihood of miscarriages of justice. It is equally important for crime investigators to be able to employ effective and efficient evidence-collection strategies that are likely to produce the most conclusive information under limited available resources. An intelligent decision support system that can assist human investigators by automatically constructing plausible scenarios, and reasoning with the likely best investigating actions will clearly be very helpful in addressing these challenging problems. This paper presents a system for creating scenario spaces from given evidence, based on an integrated application of techniques for compositional modelling and Bayesian network-based evidence evaluation. Methods of analysis are also provided by the use of entropy to exploit the synthesized scenario spaces in order to prioritize investigating actions and hypotheses. These theoretical developments are illustrated by realistic examples of serious crime investigation.

Item Type:Article
Subjects:UNSPECIFIED
ID Code:274
Deposited By:Dr Jeroen Keppens
Deposited On:08 Nov 2007 15:03
Last Modified:18 Apr 2009 19:59

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