Encyclopedia of Complexity and Systems Science

Complexity science is an emerging discipline that harnesses sophisticated frameworks to analyze and explain adaptable and changeable natural systems. Complexity and systems science can be applied such diverse problems as the structure, history and future of the universe; the biological basis of consciousness; predictability, dynamics and extent of natural disasters; climate change; traffic management; and business cycles. The Encyclopedia of Complexity and Systems Science provides an authoritative single source for understanding and applying the concepts of complexity theory through mathematics and computational techniques. The Encyclopedia relates these to the tools and measures for analyzing complex systems in all fields of science and engineering. Coverage includes theories of self-organization, complex systems, synergetics, dynamical systems, turbulence, catastrophes, instabilities, nonlinearity, stochastic processes, chaos, neural networks, cellular automata, adaptive systems, and genetic algorithms. This unique work extends the understanding and usefulness of complexity and system science to a much wider audience than ever before.