Il-Chul Moon, Simulation Analysis on Destabilization of Complex Adaptive Organizations, IEEE Symposium on Computational Intelligence for Security and Defense Applications (CISDA 2009), Ottawa, Canada, Jul 8, 2009

Abstract

Many adversarial organizations, such as organized crime groups, terrorist networks, and the like, are complex adaptive organizations. Therefore, strategies against them should consider the natures of complexity and adaptivity. However, such natures create nonlinear effects that are difficult to predict. To mitigate those difficulties, I utilize agent-based simulations that could possibly capture unexpected responses coming from our interventions into their organizations. This paper presents a simulation analysis example of an action against a terrorist group. Particularly, this example points out three critical aspects of simulation analysis. First, this simulation example shows how to setup a simulation analysis to anticipate an intervention's results. Second, this example illustrates various results making analysis useful. Third, this example describes statistical processing of the results. I expect that the three points will advance the current practices of simulation analysis on complex adaptive organizations.

@INPROCEEDINGS{5356520, 
author={I. C. Moon}, 
booktitle={2009 IEEE Symposium on Computational Intelligence for Security and Defense Applications}, 
title={Simulation analysis on destabilization of complex adaptive organizations}, 
year={2009}, 
pages={1-8}, 
keywords={adaptive systems;large-scale systems;organisational aspects;terrorism;adversarial organizations;agent based simulations;anticipate interventions results;capture unexpected responses;complex adaptive organizations;organized crime groups;simulation analysis destabilization;statistical processing results;terrorist networks;three critical aspects;Adaptive systems;Analytical models;Complex networks;Computational intelligence;Computational modeling;Humans;Moon;Personnel;Security;Testing}, 
doi={10.1109/CISDA.2009.5356520}, 
ISSN={2329-6267}, 
month={July},}

Source Website: 

 http://ieeexplore.ieee.org/xpl/abstractSimilar.jsp?arnumber=5356520&tag=1