Traditional
criminal profiling is improved by the use of Bayesian Networks. BNs provide a statistical model linking the criminal to
the elements of the crime (crime scene, victim analysis, forensic evidence)
and will be used to gain insight of individual crimes rather than serial
offender. Using intelligent systems as well as a systematic approach to interpretting evidence moves criminal profiling into a
field of inductive science rather than a good hollywood
script. The criminal profiling research is a collaborative effort between
organization in Italy,
France, and
the United States.
Conducting the research at Duke University
is Dr. Silvia Ferrari,
Assistant Professor in Mechanical Engineering at Duke
University, and her graduate
student, Kelli
Baumgartner.
