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Complex Systems [Hardcover]

Terry R. J. Bossomaier (Editor), David G. Green (Editor)

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Book Description

ISBN-10: 0521462452 | ISBN-13: 978-0521462457 | Publication Date: July 17, 2000

This book explores the exciting new field of complexity. It features in-depth coverage of important theoretical areas, including fractals, chaos, nonlinear dynamics, artificial life, and self organization. It also provides overviews of complexity in several applied areas, including parallel computation, control systems, neural systems, and ecosystems. Contributors examine some of the properties that best characterize complex systems, including algorithmic richness, nonlinearity, and abundant interactions between components. In this way the book draws themes, especially the ideas of connectivity and natural computation, that reveal deep, underlying similarities among phenomena that have formerly been treated as completely distinct. Researchers in a wide array of fields, including ecology, neuroscience, computer science, and mathematics, will find this volume to be a fascinating collection of ideas.

#outer_postBodyPS { display: none; } #psGradient { display: none; } #psPlaceHolder { display: none; } #psExpand { display: none; } This book explores the exciting new field of complexity. It features in-depth coverage of important theoretical areas, including fractals, chaos, nonlinear dynamics, artificial life, and self organization. It also provides overviews of complexity in several applied areas, including parallel computation, control systems, neural systems, and ecosystems. Contributors examine some of the properties that best characterize complex systems, including algorithmic richness, nonlinearity, and abundant interactions between components. In this way the book draws themes, especially the ideas of connectivity and natural computation, that reveal deep, underlying similarities among phenomena that have formerly been treated as completely distinct. Researchers in a wide array of fields, including ecology, neuroscience, computer science, and mathematics, will find this volume to be a fascinating collection of ideas.

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Editorial Reviews

Review

"Overall, the book is a useful collection of introductory summaries of each area of complexity theory." Mathematics Today

"[A] complete well-written overview of the current state of the science of complex systems, rich in biological inspired topics that is very worth reading." Ecoscience

Book Description

The new science of complex systems concerns the ways in which the world is put together. How, for example, do interactions between millions of neurons form the working human brain? Complex Systems provides the first in-depth overview of this important new field. It covers both essential theory, such as fractals and chaos, as well as applications to physics, engineering and ecology. The idea of 'natural computation' is a major unifying theme, as the book shows with accounts of artificial life, cellular automata, neural networks and genetic algorithms.

Product Details

Hardcover: 420 pages
Publisher: Cambridge University Press (July 17, 2000)
Language: English
ISBN-10: 0521462452
ISBN-13: 978-0521462457
Product Dimensions: 9.1 x 6.1 x 0.9 inches
Shipping Weight: 1.7 pounds (View shipping rates and policies)
Amazon Best Sellers Rank: #2,283,757 in Books (See Top 100 in Books)

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Inside This Book (learn more)

First Sentence:
Imagine a violent storm sweeping across a beach. Read the first page

Key Phrases - Statistically Improbable Phrases (SIPs): (learn more)
digraph evolution, double jump point, connectivity avalanche, scattered decomposition, random digraphs, open set condition, feedback linearisation, computational graph, graphical evolution, data parallel languages, interactive evolution, physical computation, inertial manifolds, machine epsilon, scaling operator, fractal measures, centre manifold, contraction maps, unstable subspaces, giant component, universal computation, state feedback controller, emergent behaviour, random fractals, fractal set

Key Phrases - Capitalized Phrases (CAPs): (learn more)
New York, High Performance Fortran, Caltech Technical Report, Academic Press, Addison Wesley, Cambridge University Press, Englewood Cliffs, Prentice Hall, World Scientific, Monte Carlo, Oxford University Press, Australian National University, San Francisco, Van Loan, Animal Ecology, Artzficzal Life, Automatic Control, Gaine of Life, Maynard Smith, Scientific American, Advanced Study Institute, Caltech Concurrent Computation Program, Navier Stokes, Northeast Parallel Architectures Center

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Books on Related Topics | Concordance | Text Stats

Citations (learn more)

This book cites 75 books:

The Language Instinct: How the Mind Creates Language (Perennial Classics) by Steven Pinker on page 401, and page 405
The Quark and the Jaguar: Adventures in the Simple and the Complex by Murray Gell-Mann on page 343, and page 363
Animal Ecology by Charles S. Elton on page 341, and page 363
Graphical Evolution (Wiley Series in Discrete Mathematics and Optimization) by Edgar M. Palmer on page 59, and page 88
Cellular Automata And Complexity: Collected Papers by Stephen Wolfram on page 89, and page 365

See all 75 books this book cites

94 books cite this book:

Modeling Spatial and Economic Impacts of Disasters (Advances in Spatial Science) by Yasuhide Okuyama on page 158, page 159, and page 160
Complexity: Metaphors, Models, and Reality by George A. Cowan on page 179, and page 343
Complexity in Landscape Ecology (Landscape Series) by David G. Green in Back Matter (1), and Back Matter (2)
Cellular Automata: A Discrete Universe by Andrew Ilachinski in Back Matter (1), and Back Matter (2)
Cellular Automata Transforms: Theory and Applications in Multimedia Compression, Encryption, and Modeling (Multimedia Systems and Applications) by Olu Lafe in Back Matter (1), and Back Matter (2)

See all 94 books citing this book

Books on Related Topics (learn more)

Normally Hyperbolic Invariant Manifolds in Dynamical Systems by Stephen Wiggins

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Statistics for Long-Memory Processes by Jan Beran

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Fractals Everywhere by Michael F. Barnsley

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Geometry of Sets and Measures in Euclidean Spaces by Pertti Mattila

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