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Some of the characteristics of Complex Systems
Science.
See also Why is Complex Systems Science Important? In a Complex System, the interaction between the parts or sub-systems allows the emergence of global behaviour that would not be anticipated from the behaviour of components in isolation. This emergent behaviour depends upon the nature of the interactions as much as it does upon the character of the parts and changes when these interactions change. Such systems are inherently non-linear and so may exhibit hysteretic or irreversible transitions between alternative states. They are frequently characterized by "fractal scaling laws" and may exhibit "self-organization". Complex systems are being found and studied at a huge range of time and space scales from those of a single cell to the entire globe and involve processes ranging from physical or chemical alone to the intersection of biophysics and socio-economics. The characteristic non-linearity of complex systems means that computer modeling and the concepts of dynamical systems theory play a major part in their study. Some examples of Complex Systems Science where the application of these concepts and tools is leading to radically new results are:
Note that this is a very incomplete list and is meant as a guide to the type of problem and approach that characterizes Complex System Science rather than as an exclusive categorization. See also: What's Happening in CSIRO CSS
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Last update: 4 August 2004.
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