TY - GEN
T1 - Bayesian inferential reasoning model for crime investigation
AU - Wang, Jing
AU - Xu, Zhijie
PY - 2014
Y1 - 2014
N2 - Forensic inferential reasoning is a 'fact-finding' journey for crime investigation and evidence presentation. In complex legal practices involving various forms of evidence, conventional decision making processes based on human intuition and piece-to-piece evidence explanation often fail to reconstruct meaningful and convincing legal hypothesis. It is necessary to develop logical system for evidence management and relationship evaluations. In this paper, a forensic application-oriented inferential reasoning model has been devised base on Bayesian Networks. It provides an effective approach to identify and evaluate possible relationships among different evidence. The model has been developed into an adaptive framework than can be further extended to support information visualisation and interaction. Based on the system experiments, the model has been successfully used in verifying the logical relationships between DNA testing results and confessions acquired from the suspect in a simulated criminal investigation, which provided a firm foundation for the future developments.
AB - Forensic inferential reasoning is a 'fact-finding' journey for crime investigation and evidence presentation. In complex legal practices involving various forms of evidence, conventional decision making processes based on human intuition and piece-to-piece evidence explanation often fail to reconstruct meaningful and convincing legal hypothesis. It is necessary to develop logical system for evidence management and relationship evaluations. In this paper, a forensic application-oriented inferential reasoning model has been devised base on Bayesian Networks. It provides an effective approach to identify and evaluate possible relationships among different evidence. The model has been developed into an adaptive framework than can be further extended to support information visualisation and interaction. Based on the system experiments, the model has been successfully used in verifying the logical relationships between DNA testing results and confessions acquired from the suspect in a simulated criminal investigation, which provided a firm foundation for the future developments.
KW - Bayesian Networks
KW - Digitised Forensic Evidence
KW - Inferential Reasoning
UR - http://www.scopus.com/inward/record.url?scp=84902328767&partnerID=8YFLogxK
U2 - 10.3233/978-1-61499-405-3-59
DO - 10.3233/978-1-61499-405-3-59
M3 - Conference contribution
AN - SCOPUS:84902328767
SN - 9781614994046
VL - 262
T3 - Frontiers in Artificial Intelligence and Applications
SP - 59
EP - 67
BT - Smart Digital Futures 2014
PB - IOS Press
ER -