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Complex Systems

Complex systems research is the study of nonlinear, adaptive, dynamical systems. These systems consist of many interacting components and often perform self-regulation, feedback and adaptation. It is often the case that complex systems display emergent functions and behaviors that are irreducible to their constituent subsystems. It follows that a general feature of most complex systems is computational irreducibility. Put more simply, this means that complex systems tend not to be amenable to complete mathematical descriptions.

The field of complex systems is interdisciplinary and received a great deal of exposure over the last few decades of the twentieth century, due in large part to Stuart Kauffman and his application of self-organizational theory to biology. Examples of complex systems include economies, ecosystems, societies, as well as certain molecular machines at the cellular level.

Web Resources On Complex Systems

http://www.cea.uba.ar/aschu/intro.html
http://www.pscs.umich.edu/
http://necsi.org/

Book Resources On Complex Systems

A New Kind of Science by Stephen Wolfram
Investigations by Stuart Kauffman
The Emergence of Everything: How the World Became Complex by Harold J. Morowitz

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