Complex Systems (eBook, 2000) [WorldCat.org]
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Complex Systems

Author: Terry R J Bossomaier; David G Green
Publisher: Cambridge : Cambridge University Press, 2000.
Edition/Format:   eBook : Document : EnglishView all editions and formats
Summary:
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  Read more...
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Genre/Form: Electronic books
Additional Physical Format: Print version:
Material Type: Document, Internet resource
Document Type: Internet Resource, Computer File
All Authors / Contributors: Terry R J Bossomaier; David G Green
ISBN: 9780511758744 051175874X 9780521462457 0521462452
OCLC Number: 776967604
Notes: Title from publishers bibliographic system (viewed on 22 Dec 2011).
Description: 1 online resource (420 pages)
Contents: 1. Introduction / T.R.J. Bossomaier and D.G. Green --
2. Self-organisation in complex systems / D.G. Green --
3. Network evolution and the emergence of structure / D.A. Seeley --
4. Artificial life: growing complex systems / Z. Aleksic --
5. Deterministic and random fractals / John E. Hutchinson --
6. Non-linear dynamics / D.E. Stewart and R.L. Dewar --
7. Non-linear control systems / M.R. James --
8. Parallel computers and complex systems / G.C. Fox and P.D. Coddington --
9. Are ecosystems complex systems? / R.H. Bradbury, D.G. Green and N. Snoad --
10. Complexity and neural networks / Terry Bossomaier.
Responsibility: edited by Terry R.J. Bossomaier, David G. Green.

Abstract:

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  Read more...

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"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 Read more...

 
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