Encyclopedia of Complexity and Systems Science
provides an authoritative single source for understanding and applying the concepts of complexity theory together with the tools and measures for analyzing complex systems in all fields of science and engineering. The science and tools of complexity and systems science include 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. Examples of near-term problems and major unknowns that can be approached through complexity and systems science include: The structure, history and future of the universe; the biological basis of consciousness; the integration of genomics, proteomics and bioinformatics as systems biology; human longevity limits; the limits of computing; sustainability of life on earth; predictability, dynamics and extent of earthquakes, hurricanes, tsunamis, and other natural disasters; the dynamics of turbulent flows; lasers or fluids in physics, microprocessor design; macromolecular assembly in chemistry and biophysics; brain functions in cognitive neuroscience; climate change; ecosystem management; traffic management; and business cycles. All these seemingly quite different kinds of structure formation have a number of important features and underlying structures in common. These deep structural similarities can be exploited to transfer analytical methods and understanding from one field to another. This unique work will extend the influence of complexity and system science to a much wider audience than has been possible to date.

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zlib/no-category/Robert A. Meyers (eds.)/Encyclopedia of Complexity and Systems Science_3308552.pdf

Hiroo Kanamori; Lemont B. Kier; Bernard Ženko; Rok Žitko; María Ángeles Gil; Ömer Özak; Sumiyoshi Abe; Hal Abelson; Moustafa S. Abou-Dina; Edward Aboufadel; Samson Abramsky

Robert A Meyers; SpringerLink (Online service)

Spektrum Akademischer Verlag. in Springer-Verlag GmbH

Springer Berlin Heidelberg : Imprint : Springer

Steinkopff. in Springer-Verlag GmbH

New York, 2014, cop. 2009

Berlin, Heidelberg, 2019

Berlin, Heidelberg, 2020

Germany, Germany

lg2066438

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The work includes carefully selected, peer-reviewed contributions of a level far superior to that found on the world wide web. It contains contributions on the mathematical (e.g. probability and statistics, graph theory, complex network theory, game theory, nonlinear differential equations, cellular automata, synergetics, perturbation theory, fractals, etc.) and modeling basis (agent based modeling and simulation, soft computing, granular computing, data mining and knowledge discovery, computational complexity theory, artificial cells, etc.) for approaching complex systems, at a high academic level. Also present are contributions describing progress using these tools in physics, econometrics, ecosystems, climate change, weather prediction, nanoelectronics, complex networks, quantum computing, chemistry, astrophysics, geophysics, systems biology, physical biology, bioinformatics, medicine, system dynamics, engineering, control and dynamical systems, and robotics as well as social, economics and political sciences

2017-08-08