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Self-Organization in Biological Systems: (Princeton Studies in Complexity)
Self-Organization in Biological Systems: (Princeton Studies in Complexity)

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Authors: Scott Camazine, Jean-louis Deneubourg, Nigel R. Franks, James Sneyd, Guy Theraula, Eric Bonabeau
Publisher: Princeton University Press
Category: Book

List Price: £27.95
Buy Used: £15.27
You Save: £12.68 (45%)



New (29) from £19.11

Avg. Customer Rating: 5.0 out of 5 stars 2 reviews
Sales Rank: 302838

Media: Paperback
Number Of Items: 1
Pages: 560
Shipping Weight (lbs): 2.1
Dimensions (in): 9.1 x 6.1 x 1.4

ISBN: 0691116245
Dewey Decimal Number: 570
EAN: 9780691116242
ASIN: 0691116245

Publication Date: August 28, 2003
Availability: Usually dispatched within 1-2 business days
Condition: Dispatched from the US -- Expect delivery in 2-3 weeks. Shows some signs of wear, and may have some markings on the inside. 100% Money Back Guarantee. Shipped to over one million happy customers. Your purchase benefits world literacy!

Also Available In:

  • Hardcover - Self-organization in Biological Systems (Princeton studies in complexity)

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Customer Reviews:

5 out of 5 stars Very well done   February 3, 2007
This book is an excellent eye-opener. At times its hard to keep the sheer fascination of natural systems from overwhelming the underlying interactions which drive emergence, but that's more of a compliment to the authors than any kind of criticism.
Even if you don't work in mathematics, biology, or software, if you're on this page you must have some interest. Buy it, read it, its worth it.



5 out of 5 stars simply inspirational...   July 23, 2002
 10 out of 10 found this review helpful

This is a book I have been waiting to discover. Many other books in the field of self-organising system either focus entirely on mathematical formulae or describe how a biologically-inspired system can be used to solve some problem in computer science (travelling salesman, routing etc).

However, this book takes a pure biology approach describing the phenomena of self-organising systems and a number of case studies (fireflies, army ants, fish, bees etc). Each case study has a chapter dedicated to it. The text is readable by the non-biologist, non-mathematician and helps to provide an intuitive understanding of the processes.

So whilst the book may not be as rigorous as some may need for modelling purposes, or as applied as some computer science types want, I have found it to be very inspirational in looking for new ways to build software.

I have bought other books in the area but this is by far my favourite.



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