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

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2 Author(s)
Xiaohui Cui ; Oak Ridge Nat. Lab., Oak Ridge ; Potok, T.E.

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 objectives.

Published in:

Software Engineering Research, Management & Applications, 2007. SERA 2007. 5th ACIS International Conference on

Date of Conference:

20-22 Aug. 2007