Hybrid integration of reasoning techniques in suspect investigation

Authors:
Keehyung Kim;Hyukgeun Choi;RI McKay
Affiliations:
Computer Science and Eng., Seoul National University, Seoul, South Korea;Computer Science and Eng., Seoul National University, Seoul, South Korea;Computer Science and Eng., Seoul National University, Seoul, South Korea
Venue:
IEA/AIE'10 Proceedings of the 23rd international conference on Industrial engineering and other applications of applied intelligent systems - Volume Part I
Year:
2010

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Abstract

Crime investigation is a challenging and difficult task, especially if there are many suspects, together with inconsistencies between witnesses, alibis and physical evidence. We propose integration of a rulebased reasoner and a Bayesian network profiler through an Assumption-based Truth Maintenance System(ATMS) to determine themost plausible suspect. The process combines a profiling classification and an alibi credibility measure. It showed effective results in a simulation.