Title :
Using a multi-agent model to predict both physical and cyber criminal activity
Author :
Gunderson, L. ; Brown, Donald
Author_Institution :
Dept. of Syst. Eng., Virginia Univ., Charlottesville, VA, USA
Abstract :
The paper describes a multi-agent methodology for the prediction of physical crime and cyber crime. The model uses clustering algorithms to determine the number of agents in the environment. The preference of each of these agents is determined by feature selection. The agents are allowed to interact in a synthetic environment. The results of the interactions are measured and the model is updated with new information. This modeling approach holds significant promise for the simulation of human criminal behavior
Keywords :
computer crime; digital simulation; multi-agent systems; police data processing; clustering algorithms; cyber criminal activity prediction; feature selection; human criminal behavior simulation; multi-agent model; physical criminal activity prediction; synthetic environment; Clustering algorithms; Computer crime; Data engineering; Data mining; Decision making; Extrapolation; Humans; Internet; Predictive models; Research initiatives;
Conference_Titel :
Systems, Man, and Cybernetics, 2000 IEEE International Conference on
Conference_Location :
Nashville, TN
Print_ISBN :
0-7803-6583-6
DOI :
10.1109/ICSMC.2000.884340
