DocumentCode :
806449
Title :
Network models of criminal behavior
Author :
Ferrari, Silvia ; Baumgartner, Kelli C. ; Palermo, George B. ; Bruzzone, Roberta ; Strano, Marco
Author_Institution :
Dept. of Mech. Eng. & Mater., Duke Univ., Durham, NC
Volume :
28
Issue :
4
fYear :
2008
Firstpage :
65
Lastpage :
77
Abstract :
Criminal psychology is beginning to focus on modeling the effect of mental processes and environmental stimuli on offender behavior by Strano (2004). This article presents a knowledge-based-system approach to deriving empirical models of this behavior. The inputs to the system are the psychological characteristics and environmental variables that reflect the mental state of the offender and the circumstances of the crime, while criminal actions are viewed as the outputs. Although criminologists and psychologists can identify relevant input and output variables, the processes underlying criminal behavior are only partly understood and thus cannot be modeled from first principles.
Keywords :
Bayesian methods; Databases; Event detection; Forensics; Intelligent networks; Knowledge based systems; Layout; Neural networks; Pattern analysis; Psychology;
fLanguage :
English
Journal_Title :
Control Systems, IEEE
Publisher :
ieee
ISSN :
1066-033X
Type :
jour
DOI :
10.1109/MCS.2008.924037
Filename :
4566031
Link To Document :
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