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How Nature Works: The Science of Self-organized Criticality
  
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How Nature Works: The Science of Self-organized Criticality [Hardcover]

Per Bak
3.9 out of 5 stars  See all reviews (8 customer reviews)

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Product details

  • Hardcover: 225 pages
  • Publisher: Oxford University Press (30 Jun 1997)
  • Language English
  • ISBN-10: 0198501641
  • ISBN-13: 978-0198501640
  • Product Dimensions: 23.6 x 16.2 x 2.6 cm
  • Average Customer Review: 3.9 out of 5 stars  See all reviews (8 customer reviews)
  • Amazon Bestsellers Rank: 1,504,526 in Books (See Top 100 in Books)
  • See Complete Table of Contents

More About the Author

P. Bak
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Product Description

Product Description

Can a theory of complex systems really explain how nature works? And what form would such a theory take? While many theories have been proposed to describe individual complex systems, self-organized criticality is the first general theory of complex systems with a firm mathematical foundation. This book, written by the discoverer of self-organized criticality, describes for the general reader a concept that has become increasingly important in science. Many seemingly disparate aspects of the world, from the formation of the landscape to the process of evolution to the action of nervous systems to the behaviour of the economy all share a set of simple, easily described properties. These are often described as emergent properties and Per Bak has devised the example of the sandpile to illustrate some of their key features, such as "avalanching". Bak argues that these properties are all so similar that they look to be manifestations of a single principle, a Newton's Law of complex behaviour. Further, he claims that self-organized criticality, the spontaneous development of systems to a critical state, is the key to such a principle. Looking at applications for both science and social science, the book offers a glimpse into the science of the future.

About the Author

Per Bak is a professor in the Physics Department of Brookhaven National Laboratory. He has published over 150 papers, including articles in Scientific American and New Scientist. --This text refers to an out of print or unavailable edition of this title.

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Customer Reviews

Most Helpful Customer Reviews
3 of 3 people found the following review helpful
By A Customer
Format:Hardcover
If you believe in Occam's razor, you will probably like the idea of self-organized criticality (SOC). It is simple enough to be understood and appreciated by non-mathematicians, yet profound enough to make us look at phenomenons in nature and society in a different way. Per Bak presented SOC in a highly readable fashion. It is not the difficulty of the subject or the writing that makes the reader stop and ruminate, as is the case with many science writings, but the simple yet intriguing nature of the idea itself.

Is the author overreaching in some of his assertions and conclusions (as some people took exception to his choice of title)? Perhaps. But this book is short and highly enjoyable, and I think it is worth spending a few hours of one's time reading it.

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2 of 2 people found the following review helpful
By A Customer
Format:Hardcover
I enjoyed Roger Lewin's Complexity, and struggled through Stuart Kaufmann's Origins of Order, but could hardly put down How Nature Works. Follow Per Bak as he travels the world's Complexity hotbeds. From sand piles through earthquakes to just about everything, Per Bak leads us through self-organised criticality (the edge of chaos in Santa Fe jargon). It explains SOC in very simple terms, has only a few equations, and leaves nothing out. Read it!
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2 of 2 people found the following review helpful
By A Customer
Format:Hardcover
Per Bak has made a glitzy try at explaining a number of natural phenomena. The idea of "self-organized criticality" is one that many disciplines grom geology to taxonomy to economics have had as a "dance partner."

Unfortunately, the idea of spontaneous order requires rigorous argument, not just clever analogy. For an elegant statement of the relations among the processes and components of the Universe that interact to give us stability and instability, basic arguments and a history of ideas can be found in Prigogine and Stengers' "Order Out of Chaos: Man's New Dialog with Nature." In collaboration with Stengers, Prigogine has updated his arguments for the role of the structures and behaviors in Nature in "The End of Certainty: Time, Chaos and the New Laws of Nature." Incidentally, the Nobel Laureate work of Ilya Prigogine seems not to have been discussed in Bak's cute little book. Even though this book is clearly written, there are enough omissions and errors to make a reader nervous.

For two instances of many problems. 1-Many examples are drawn from paleontological and evolutionary phenomena. Data on life spans of fossil genera (a Sepkowski compilation of data) are the source for one of histograms and are incorrectly transferred to Bak's book as a "kill curve." Kill curves are an important part of evolutionary/extinction theory. Bak might also have cited Van Valen's mechanism for disappearance by predation: the Red Queen's Hypothesis (roughly put, predators snarf up the most convenient meal, not always the slowest member of a species). This is an interesting variation on natural selection and one which Bak's cleverness could discuss to good effect. 2-Linear log-log plots appear without error bars and might have been done by the old Mark One Eyeball Method. How is a reader to know if the data reflected in the points were sloppy or tight fits? This is a crucial point in pattern matching. A shaky pattern makes a less convincing argument than a rel! iable one. Why aren't major intellectual contributions to the idea of self organization and critical conditions from Van Valen (1973), G. U. Yule (1987), D. Raup (1991) and Prigogine (1984, 1996) given some discussion?

I mention the above examples because argument by analogy is centered on Pattern Matching. Pattern can be defined for mathematical purposes as "a template, motif, design which may be repeated" (see Grünbaum and Shephard, "Tilings and Patterns"). But Bak does not say WHY pattern in mathematics (created by mathematical rules) should match pattern in Nature (created by rules which we are still working out). A quick answer would be that the pattern/analogy is only as good as the elements of the items being compared are comparable. Clearly, mechanisms of creation of the compared patterns are different. Use of analogy is a creative, useful way to probe the unknown by the known, but Bak does not lay even this foundation for the arguments in the book.

Because mathematical pattern (as survival curves, radioactive decay and the like appears in nature does not mean that the pattern match alone is "proof" for general a natural process as explanation for diverse observations. Bak's "avalanche behavior in sandpiles" is only as good as a master pattern if the transfer of data and mathematical information from other sources is impeccable. For an example of careful argument using understandable mathematics to understand processes in nature I recommend David Raup's witty "Extinction: Bad Luck or Bad Genes?."

In closing, I cannot recommend this book in spite of its occasional cleverness and clear writing. In the spirit of the Red Queen's Hypothesis, it is not quite quick enough to avoid the predator/critic.

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