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This book on complexity science comprises a collection of chapters
on methods and principles from a wide variety of disciplinary
fields - from physics and chemistry to biology and the social
sciences.In this two-part volume, the first part is a collection of
chapters introducing different aspects in a coherent fashion, and
providing a common basis and the founding principles of the
different complexity science approaches; the next provides deeper
discussions of the different methods of use in complexity science,
with interesting illustrative applications.The fundamental topics
deal with self-organization, pattern formation, forecasting
uncertainties, synchronization and revolutionary change,
self-adapting and self-correcting systems, and complex networks.
Examples are taken from biology, chemistry, engineering,
epidemiology, robotics, economics, sociology, and neurology.
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