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The complex networks, as a fundamental tool in understanding dynamical behavior of real systems, have been gaining increasing recognition.
KBS must contain sufficient data, and annotations to enable data mining for summarization, pattern discovery and building of models that simulate behavior of real systems.
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Complex networks [1, 2] have attracted considerable attention as a fundamental tool in understanding the dynamical behaviors of real systems, such as internet, World Wide Web, food webs, electrical power grids, metabolic networks, scientific citation web and fractal networks [3].
Indeed, these models have been shown to effectively capture the qualitative behavior of a variety of real systems (see e.g. [ 23, 31- 33]).
The resulting networks show many features of real systems, such as scale-free degree distributions, cooperative behavior and hierarchical clustering.
Behaviors of nymphs and larvae as well as adults must be studied in the heterogeneous environments of real systems.
It presents the adversary with duplicates of real systems, but doped with fake data aimed at making the hacker reveal themselves with visibly hacker-like behavior.
Data assimilation is an essential tool for predicting the behavior of real physical systems given approximate simulation models and limited observations.
Such general similarities clearly demonstrate the global concept of the "fractals-general stacking behavior" of real life systems during their change pathways.
Hence, KAM theory does not demonstrate that ergodic theory is not useful in analyzing the dynamical behavior of real physical systems (as is often claimed).
This model enables a very fast and accurate prediction of the stationary behavior of the real system.
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