A Model Based Reasoning Approach for Generating Plausible Crime Scenarios from Evidence

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Keppens, Jeroen and Zeleznikow, John (2003) A Model Based Reasoning Approach for Generating Plausible Crime Scenarios from Evidence. In: Proceedings of the Ninth International Conference on Artificial Intelligence and Law. ACM Press, New York, pp. 51-59.

Abstract

Robust decision support systems (DSSs) for crime investigation are dfficult to construct because of the almost infinite variation of plausible crime scenarios. Thus existing approaches avoid any explicit reasoning about crime scenarios. They focus on problems such as intelligence analysis and profiling. This paper introduces a novel model based reasoning technique that enables DSSs to automatically construct representations of crime scenarios. It achieves this by storing the component events of the scenarios instead of entire scenarios and by providing an algorithm that can instantiate and compose these component events into useful scenarios. This approach is more adaptable to unanticipated cases than one that represents scenarios explicitly because it allows component events to match the case under investigation in many different ways. The approach presented herein is applied to and illustrated with examples from an application of the differentiation between homicidal, suicidal, accidental and natural death.

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Additional Information

ICAIL ‘03 , June 24-28, 2003, Edinburgh, Scotland, UK.

Item type Book Section
URI https://vuir.vu.edu.au/id/eprint/10642
DOI https://doi.org/10.1145/1047788.1047796
Official URL http://dl.acm.org/citation.cfm?doid=1047788.104779...
ISBN 1581137478
Subjects Historical > Faculty/School/Research Centre/Department > School of Management and Information Systems
Historical > RFCD Classification > 280000 Information, Computing and Communication Sciences
Keywords ResPubID5369 expert system, assumption based truth maintenance system, ATMS, model based reasoning DSS, inference engine, query handler, scenario instantiator
Citations in Scopus 28 - View on Scopus
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