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| Self-Organization in Biological Systems: (Princeton Studies in Complexity) | 
enlarge | 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: 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!
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| Customer Reviews:
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.
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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