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Physics - Complexity | Encyclopedia of Complexity and Systems Science

Encyclopedia of Complexity and Systems Science

Editor-in-chief: Meyers, Robert A.

2009, MCXX, 10398 p. In 11 volumes, not available separately.

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  • Assembles for the first time the concepts and tools for analyzing complex systems in a wide range of fields
  • Reflects the real world by integrating complexity with the deterministic equations and concepts that define matter, energy, and the four forces identified in nature
  • Benefits a broad audience: undergraduates, researchers and practitioners in mathematics and many related fields

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.

Content Level » Research

Keywords » Agent Based Modeling - Cellular Automata - Complex Networks - Computational Nanoscience - Ecological Complexity - Ergodic Theory - Fractals and Multifractals - Game Theory - Granular Computing - Graph theory - Intelligent Systems - Perturbation Theory - Quantum Information Science - System Dynamics - Traffic Management - chaos and complexity - climate modeling - complex systems - complexity theory - dynamical systems - fuzzy theory systems - nonlinear systems - soft computing - stochastic processes - synergetics - synergetics and self-organization - systems biology - systems science

Related subjects » Chemistry - Complexity - Earth Sciences & Geography - Economics - Probability Theory and Stochastic Processes - Systems Biology and Bioinformatics

Table of contents / Preface / Sample pages 

Hundreds of articles on the mathematical and modeling basis for approaching complex systems, together with hundreds more on the progress using these tools in the fields of 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.

The articles are organized in an A-Z format.

For an overview of the Topical Section, the Topical Table of Contents and the complete list of articles and their authors, see the links on the right.

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