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In the Wake of Chaos: Unpredictable Order in Dynamical Systems (Science and Its Conceptual Foundations series)
 
 
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In the Wake of Chaos: Unpredictable Order in Dynamical Systems (Science and Its Conceptual Foundations series) [Hardcover]

Stephen H. Kellert (Author)
5.0 out of 5 stars  See all reviews (2 customer reviews)

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Book Description

0226429741 978-0226429748 June 1, 1993 1
Chaos theory has captured scientific and popular attention. What began as the discovery of randomness in simple physical systems has become a widespread fascination with "chaotic" models of everything from business cycles to brainwaves to heart attacks. But what exactly does this explosion of new research into chaotic phenomena mean for our understanding of the world? In this timely book, Stephen Kellert takes the first sustained look at the broad intellectual and philosophical questions raised by recent advances in chaos theory—its implications for science as a source of knowledge and for the very meaning of that knowledge itself.

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Product Details

  • Hardcover: 190 pages
  • Publisher: University Of Chicago Press; 1 edition (June 1, 1993)
  • Language: English
  • ISBN-10: 0226429741
  • ISBN-13: 978-0226429748
  • Product Dimensions: 8.3 x 5.5 x 0.8 inches
  • Shipping Weight: 7.5 ounces (View shipping rates and policies)
  • Average Customer Review: 5.0 out of 5 stars  See all reviews (2 customer reviews)
  • Amazon Best Sellers Rank: #789,681 in Books (See Top 100 in Books)

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12 of 13 people found the following review helpful:
5.0 out of 5 stars Sanity confronts chaos theory, October 26, 2002
The author investigates the question: with all the research (and hype) in chaos theory, what has been the actual impact on our understanding of the world? I give the book 5 stars for completing it's stated mission, being readable and enjoyable, and for not pandering to a lcd.

Kellert approaches this question from a philosophical, but down-to-earth, view. From the start, this is certainly not a "gee-whiz" hop-on-the-bandwagon book. In fact, the prologue begins: "Chaos theory is not as interesting as it sounds. How could it be?"

Yet, Kellert is not out to dismiss chaos theory, but rather to make sense of what the implications of chaos theory are. Unpredictability and determinism are two such topics potentially affected by chaos theory. Quantum mechanics is another topic influenced by chaos theory. And later in the book he ponders the historical question: why did it take so long for nonlinear dynamics (chaotic systems) to come under study?

There is very little math. The intended audience seems to be those who have some notion of chaos theory already, and although an introductory chapter is included, it would be helpful to understand conceptually what a Lyapunov exponent is and what bifurcation means.

The book is footnoted sufficiently but not overdone. It is heavily (but not annoyingly) referenced with everyone from Poincare to Prigogine. Despite the years that have passed since initial publication, I do not think this book has become obsolete. Another way to say this is: chaos theory (and it's results) is still not the mind-shattering revolution that some have made it out to be.

If you have some science and math background and have been asking yourself "So, just what the heck does all this talk about chaos theory really mean??", then this book is for you.

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0 of 2 people found the following review helpful:
5.0 out of 5 stars Different view, September 30, 2008
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Among the loads of literature on chaos theory, this one is definitely different and the one to chek up on.
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Inside This Book (learn more)
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First Sentence:
In the past 25 years, scientists working in such fields as fluid mechanics, chemistry, and population biology have developed many successful mathematical models for natural phenomena. Read the first page
Key Phrases - Statistically Improbable Phrases (SIPs): (learn more)
predictive hopelessness, value determinateness, unstable aperiodic behavior, total predictability, geometric mechanisms, computational explanation, unique evolution, differential dynamics, metaphysical tenet, sensitive dependence, chaos theory, order within chaos, worthwhile time, dynamical chaos, prediction tasks, logistic map, chaotic systems
Key Phrases - Capitalized Phrases (CAPs): (learn more)
Francis Moon, John Earman, Mark Stone, Robert Shaw, James Yorke, Robert May, Evelyn Fox Keller, Ilya Prigogine
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