Simulation of Human Criminal Behavior Using Clustering Algorithm

Author

Pillai, Ramesh Kumar Goplala ; Kumar, Ramakanth

Author_Institution

R.V. Coll. of Eng. Campus, Bangalore

Volume

4

fYear

2007

fDate

13-15 Dec. 2007

Firstpage

105

Lastpage

109

Abstract

This 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

behavioural sciences computing; computer crime; multi-agent systems; pattern clustering; police data processing; clustering algorithm; cyber crime prediction; feature selection; human criminal behavior simulation; modeling approach; multiagent methodology; physical crime prediction; Application software; Biological system modeling; Clustering algorithms; Computational intelligence; Computational modeling; Computer science; Drugs; Educational institutions; Humans; Predictive models;

fLanguage

English

Publisher

ieee

Conference_Titel

Conference on Computational Intelligence and Multimedia Applications, 2007. International Conference on

Conference_Location

Sivakasi, Tamil Nadu

Print_ISBN

0-7695-3050-8

Type

conf

DOI

10.1109/ICCIMA.2007.88

Filename

4426458