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Understanding Complex Systems

Founding Editor: S. Kelso

Future scientific and technological developments in many fields will necessarily
depend upon coming to grips with complex systems. Such systems are complex in
both their composition-typically many different kinds of components interacting
simultaneously and nonlinearly with each other and their environments on multiple
levels-and in the rich diversity of behavior of which they are capable.
The Springer Series in Understanding Complex Systems series (UCS) promotes
new strategies and paradigms for understanding and realizing applications of
complex systems research in a wide variety of fields and endeavors. UCS is
explicitly transdisciplinary. It has three main goals: First, to elaborate the concepts,
methods and tools of complex systems at all levels of description and in all scientific
fields, especially newly emerging areas within the life, social, behavioral, economic,
neuro- and cognitive sciences (and derivatives thereof); second, to encourage novel
applications of these ideas in various fields of engineering and computation such as
robotics, nano-technology, and informatics; third, to provide a single forum within
which commonalities and differences in the workings of complex systems may be
discerned, hence leading to deeper insight and understanding.
UCS will publish monographs, lecture notes, and selected edited contributions
aimed at communicating new findings to a large multidisciplinary audience.

More information about this series at http://www.springer.com/series/5394