Complex Systems

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Terry R. J. Bossomaier (Charles Sturt University, Bathurst, New South Wales) David G. Green (Charles Sturt University, Albury, New South Wales)

Complex Systems

Terry R. J. Bossomaier (Charles Sturt University, Bathurst, New South Wales), David G. Green (Charles Sturt University, Albury, New South Wales)

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English

Cambridge University Press
27 November 2007

Ecological science, the Biosphere; Biochemistry

This book, first published in 2000, explores the exciting field of complexity. It features in-depth coverage of important theoretical areas, including fractals, chaos, non-linear 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. Some of the properties that best characterize complex systems, including algorithmic richness, non-linearity and abundant interactions between components are examined. In this way the book draws out themes, especially the ideas of connectivity and natural computation, that reveal deep, underlying similarities between phenomena that have formerly been treated as completely distinct. The idea of natural computation is particularly rich in fresh approaches applicable to both biology and computing. Analogies such as the DNA code as life's underlying program, or organisms as automata, are very compelling. Conversely, biologically inspired ideas such as cellular automata, genetic algorithms and neural networks are at the forefront of advanced computing.

Edited by: Terry R. J. Bossomaier (Charles Sturt University Bathurst New South Wales), David G. Green (Charles Sturt University, Albury, New South Wales)
Imprint: Cambridge University Press
Country of Publication: United Kingdom
Dimensions: Height: 228mm, Width: 152mm, Spine: 26mm
Weight: 625g
ISBN: 9780521043717
ISBN 10: 0521043719
Pages: 420
Publication Date: 27 November 2007
Audience: Professional and scholarly , Undergraduate
Format: Paperback
Publisher's Status: Active

Reviews for Complex Systems

'... is a useful collection of introductory summaries of each area of complexity theory and although each one is not covered in any particular depth, the fascination of the subject does show through.' Stephen P. Banks, Mathematics Today