Dynamic Analysis of Terrorism using Artificial Intelligence Techniques: A case study
Apply intelligent information technologies to anticrime and anti-terrorism is a hot topic in security bureaus of different countries. Social Network Analysis is a promising method to analyze terrorist network structures. Yet, the method is inadequate to process the dynamic property of terrorist networks. This paper proposes an approach combining Agent simulation and Social Network Analysis so that the dynamic property of terrorist networks can be handled. We collect criminal data to construct numbers of virtual terrorist networks. A series of experiments have been conducted using real terrorist network data to verify the effectiveness of the proposed approach. The experimental results show that our approach can use to evaluate a number of strategies for destabilization of terrorist organizations.
Terrorist organization Artificial Intelligence Simulation
Daijun Zhong Guiqiang Hu
Modern Education Technology Center Chongqing University of Arts and Science Chongqing, China 402160 Library Chongqing University of Arts and Science Chongqing, China 402160
国际会议
重庆
英文
482-486
2011-08-20（万方平台首次上网日期，不代表论文的发表时间）