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A New Kind of Science,   ISBN:9781579550080

     
  A New Kind of Science

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Binding: Hardcover
Release Date: May 2002
Edition: 1
List Price: $44.95

Average Customer Rating:
Score = 3.0 Score = 3.0 Score = 3.0 Score = 3.0 Score = 3.0

ISBN-13: 9781579550080
ISBN-10: 1579550088
Author: Stephen Wolfram
Publisher: Wolfram Media
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Summaries and Customer Reviews are supplied by Amazon.com

Summary:

Physics and computer science genius Stephen Wolfram, whose Mathematica computer language launched a multimillion-dollar company, now sets his sights on a more daunting goal: understanding the universe. Wolfram lets the world see his work in A New Kind of Science, a gorgeous, 1,280-page tome more than a decade in the making. With patience, insight, and self-confidence to spare, Wolfram outlines a fundamental new way of modeling complex systems.

On the frontier of complexity science since he was a boy, Wolfram is a champion of cellular automata--256 "programs" governed by simple nonmathematical rules. He points out that even the most complex equations fail to accurately model biological systems, but the simplest cellular automata can produce results straight out of nature--tree branches, stream eddies, and leopard spots, for instance. The graphics in A New Kind of Science show striking resemblance to the patterns we see in nature every day.

Wolfram wrote the book in a distinct style meant to make it easy to read, even for nontechies; a basic familiarity with logic is helpful but not essential. Readers will find themselves swept away by the elegant simplicity of Wolfram's ideas and the accidental artistry of the cellular automaton models. Whether or not Wolfram's revolution ultimately gives us the keys to the universe, his new science is absolutely awe-inspiring. --Therese Littleton

Customer Reviews:

Average Customer Rating: Score = 3.0 Score = 3.0 Score = 3.0 Score = 3.0 Score = 3.0

Fascination
Customer Rating:  Score = 5 Score = 5 Score = 5 Score = 5 Score = 5

So far a very good book. Wofram seems to bring science to a new dimension. I am looking forward to our journey together.

Thick
Customer Rating:  Score = 3 Score = 3 Score = 3 Score = 3 Score = 3

I think the author makes many good points about the potential of the possible benefits to science to be had by stepping outside conventional methods. There's so much going on in this book that I couldn't possibly grasp it all, especially considering my limited mathematics knowledge. More examples and metaphors would have been helpful also, but unfortunately, in the authors opinion they do more harm than good as he notes early in the notes section.

All copies should be burnt
Customer Rating:  Score = 1 Score = 1 Score = 1 Score = 1 Score = 1

If any single copy of this book perdures along the ages, the future generations that would find it burrowed somewhere could thing that all the mathematical and computer science achievements of the XX century belonged to Stephen Wolfram.

Excellent Price, Perfect Condition!
Customer Rating:  Score = 5 Score = 5 Score = 5 Score = 5 Score = 5

I was amazed to receive this hard-cover book for such a bargain price, and for it to be in perfect condition. The shipping speed a little quicker than anticipated as well.

Not science
Customer Rating:  Score = 2 Score = 2 Score = 2 Score = 2 Score = 2

I too could have written a very long review. I read this book when first issued -- cover-to-cover.

There are some interesting tidbits and examples. They are mostly things I have already seen in cellular automata (CA). It's the title itself that disturbs me. So I should explain why.

Basically, science is about two things, creating a model that explains behavior and testing the model to see whether or not it predicts behavior. I don't see how CA, as described in Wolfram's book helps with either process as much as I had hoped.

Wolfram seems to experiment with CA in order to emulate the behavior of interest, but offers fewer mechanisms for building the models. In terms of prediction, I should state a testable hypothesis and then demonstrate (through experiment or theorem)that I can predict the behavior of the system under study. Wolfram's book looks backwards to see if I modeled the behavior that already occurred. I'd really like to make a prediction about something I have not fully studied then analyze it to see that my model did indeed predict the behavior.

I don't see how A New Kind of Science is any kind of science yet.

Robert Ferguson

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