Ecosystems, the human psyche-soma, ant colonies, the Internet, and economic networks are all complex systems displaying collective behavior and emergence beyond the sum of their parts. Complexity science systematically investigates these emergent phenomena and stretches across and beyond disciplines. Human Dynamics: Multidisciplinary Complexity Science is a series of topical volumes that provides an authoritative source for understanding and applying the concepts, tools, and measures of complexity theory for analyzing complex systems in all fields of science with a particular focus on human dynamics. Many phenomena at all scales in science have the characteristics of complex systems. They can be fully understood only through the transdisciplinary perspectives, theories, and tools of self-organization, synergetics, dynamical systems, turbulence, catastrophes, instabilities, nonlinearity, stochastic processes, chaos, neural networks, cellular automata, adaptive systems, genetic algorithms, quantum theories, and so on. All these seemingly diverse phenomena and structure formations have essential features and underlying structures in common. These profound structural similarities can be exploited to transfer or translate analytical methods and understanding from one field to another. This unique work will extend the influence of complexity and system science to a broader audience.

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