Particle Swarm Social Adaptive Model for Multi-Agent Based Insurgency Warfare Simulation

Cui, Xiaohui ; Potok, Thomas E

Oak Ridge National Laboratory

关键词: 99 General And Miscellaneous//Mathematics, Computing, And Information Science;    Swarm Insurgency Simulation Algorithm;    Targets;    Simulation;    Communications;   

DOI  :  10.2172/984372
RP-ID  :  ORNL/TM-2007/020
RP-ID  :  DE-AC05-00OR22725
RP-ID  :  984372

美国|英语

来源: UNT Digital Library

【 摘 要 】

To better understand insurgent activities and asymmetric warfare, a social adaptive model for modeling multiple insurgent groups attacking multiple military and civilian targets is proposed and investigated. This report presents a pilot study using the particle swarm modeling, a widely used non-linear optimal tool to model the emergence of insurgency campaign. The objective of this research is to apply the particle swarm metaphor as a model of insurgent social adaptation for the dynamically changing environment and to provide insight and understanding of insurgency warfare. Our results show that unified leadership, strategic planning, and effective communication between insurgent groups are not the necessary requirements for insurgents to efficiently attain their objective.