Agent-based modeling with social networks for terrorist recruitment

被引:0
作者
Ko, TH [1 ]
Berry, NM [1 ]
机构
[1] Sandia Natl Labs, Embedded Reasoning Inst, Livermore, CA 94550 USA
来源
PROCEEDING OF THE NINETEENTH NATIONAL CONFERENCE ON ARTIFICIAL INTELLIGENCE AND THE SIXTEENTH CONFERENCE ON INNOVATIVE APPLICATIONS OF ARTIFICIAL INTELLIGENCE | 2004年
关键词
D O I
暂无
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
The Seldon model combines concepts from agent-based modeling and social network analysis to create a computation model of social dynamics for terrorist recruitment. The underlying recruitment model is based on a unique hybrid agent-based architecture that contains simple agents (individuals such as expatriates) and abstract agents (conceptual entities such as society and mosques). Interactions between agents are determined by multiple social networks which form and dissipate according to the actions of the individual. We have implemented a Java-based toolkit to evaluate the dynamics of social behavior and the specific dynamics associated with terrorist recruitment described by expert social scientists, creating an architecture for simple adaptation to other group phenomenon.
引用
收藏
页码:1016 / 1017
页数:2
相关论文
共 2 条
[1]  
Berry N., 2003, SAND20038754 SAND NA
[2]  
Sageman M, 2004, UNDERSTANDING TERROR NETWORKS, P1