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Applying the Methods and Approaches of Complex Systems to Counter-Terrorism (Brandoff, 2008)
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The Case for Using Probabilistic Knowledge in a Computer Chess Program (John L. Jerz)
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p.6 The question is how well does this model represent real world behaviour as it can only provide a limited insight (particularly in the limited time we have had to build it!)? This tool only scrapes the tip of the iceberg of the potential parameters and their inter-relationships to be considered, it looks at only a single scale. However, it may provide guidance into where to focus future analytical work and the validity of our some of our assumptions.
 
p.7  Most events or properties within this dynamic system can be ascribed to the result of many preceding interacting causal and influence processes, not one of which can be unambiguously defined as the cause (although there may be triggers when result in a change of behaviour state). Similarly, the consequences of any single event or property unfold through many interacting pathways and may have ramifications well beyond the sphere of the single event. Grisogono and Ryan describe this feature as a complex Causal and Influence Network (C&IN) and it is a multi-scale phenomena. The potential list of causes and influences possible is enormous, but any future work would need to consider which of these are key and should be incorporated incrementally into future models.

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