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Bigger than Chaos: Understanding Complexity through Probability
 
 
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Bigger than Chaos: Understanding Complexity through Probability [Hardcover]

Michael Strevens (Author)
3.0 out of 5 stars  See all reviews (2 customer reviews)

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Book Description

0674010426 978-0674010420 June 30, 2003

Many complex systems--from immensely complicated ecosystems to minute assemblages of molecules--surprise us with their simple behavior. Consider, for instance, the snowflake, in which a great number of water molecules arrange themselves in patterns with six-way symmetry. How is it that molecules moving seemingly at random become organized according to the simple, six-fold rule? How do the comings, goings, meetings, and eatings of individual animals add up to the simple dynamics of ecosystem populations? More generally, how does complex and seemingly capricious microbehavior generate stable, predictable macrobehavior?

In this book, Michael Strevens aims to explain how simplicity can coexist with, indeed be caused by, the tangled interconnections between a complex system's many parts. At the center of Strevens's explanation is the notion of probability and, more particularly, probabilistic independence. By examining the foundations of statistical reasoning about complex systems such as gases, ecosystems, and certain social systems, Strevens provides an understanding of how simplicity emerges from complexity. Along the way, he draws lessons concerning the low-level explanation of high-level phenomena and the basis for introducing probabilistic concepts into physical theory.

(20040101)

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Editorial Reviews

Review

In this ambitious reformulation of the probabilistic descriptions of stability (equilibrium, quasi-equilibrium, or quasi-determinate evolution) of collective systems, Strevens...has fairly rigorously defined a set of problems of micro state-macro state relations focusing on the inevitably 'simple behavior' of 'complex systems' that meet appropriate stochastic criteria. (P. D. Skiff Choice )

This book is a serious and ambitious effort to explain how complex systems can exhibit simple behaviour...There is much to be learned in reading [Strevens's] book. His attempt to solve the puzzle is serious and provocative. He raises interesting and important issues related to the central puzzle and provides insightful analyses of many of these issues. The work deserves the attention of the philosophical community, particularly those who are interested in the philosophical foundations of probability, physics, biology, or economics. (Fred Kronz Metascience )

[Strevens] shows how, in the right hands at least, the mathematisation of population ecology does not need to obscure or ignore the underlying biology. Rather, the mathematics can be seen to represent the underlying biology in a systematic, simple, and natural way. (Mark Colyvan Biology and Philosophy )

Review

This book is a model of clarity, at both the "macro" and the "micro" levels; the expository style is entertaining without being distracting; the presentation of technical material shows the deft touch of someone who has mastery of it without the inclination to overindulge in it. (Ned Hall, Professor of Philosophy at Massachusetts Institute of Technology )

Product Details

  • Hardcover: 432 pages
  • Publisher: Harvard University Press (June 30, 2003)
  • Language: English
  • ISBN-10: 0674010426
  • ISBN-13: 978-0674010420
  • Product Dimensions: 9.7 x 6.3 x 1.3 inches
  • Shipping Weight: 1.6 pounds (View shipping rates and policies)
  • Average Customer Review: 3.0 out of 5 stars  See all reviews (2 customer reviews)
  • Amazon Best Sellers Rank: #3,376,347 in Books (See Top 100 in Books)

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9 of 9 people found the following review helpful:
3.0 out of 5 stars A Chaotic Read, May 29, 2007
This review is from: Bigger than Chaos: Understanding Complexity through Probability (Hardcover)
While the subject of the book is undoubtedly brilliant the author lacks the ability to effectively communicate his ideas through the written word. While the subject is intriguing the book is not. While each sentence is properly composed and accurate, the stringing together of words is both inelegant and confusing leaving the reader befuddled and back tracking to decide if there was anything meaningful to be extracted. Each page could seemingly be effectively sewn up in a paragraph and each chapter in a page. If your mind enjoys science and the topic of probablistic science intrigues you, make sure to first read a full page and ask yourself if you really want to read the next. I found that I did not. Perhaps a strong editor could help the author more elegantly convey his message.

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3.0 out of 5 stars Fascinating topic, terrible exposition, July 27, 2011
Complementing the argument from symmetry, there is a more detailed physics argument for why a tossed coin has chance 1/2 of landing heads. In brief, landing heads corresponds to the initial conditions at the instant of tossing being in a certain subset of "phase space", and the microscopic uncertainty in initial conditions (you can't toss a coin twice in exactly the same way) gets amplified; locally in phase space, half the possibilities lead to heads. This type of argument -- macroscopic randomness arises from local smoothness of probability distributions at a microscopic level -- has analogs in other contexts; a student is roughly as likely to score 73 as 74 on a final exam. At some vague level, these ideas are known (and regarded as "obvious") to mathematicians and physicists interested in conceptual aspects of probability. Indeed I give one lecture on the topic in an undergraduate course. But it has never been discussed in a clear, careful and detailed way, so I would give the author 5 stars for attempting to do so.

Alas the exposition strikes me as a complete disaster. Based on a few simple examples, the author builds some axiomatization and invents terminology ("microconstant experiment with one IC variable" is just the start) accompanied with lengthy verbal discussion. But what's going on in the concrete examples is easy to understand. An abstract development would be welcome if it led to increased understanding of more complicated concrete examples, but to me it merely obfuscates.
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Inside This Book (learn more)
Key Phrases - Statistically Improbable Phrases (SIPs): (learn more)
collision partition, deterministic probabilistic experiment, initial spin speed, microdynamic laws, chained trials, macrolevel laws, zigzag wheel, colliding coins, structured population approach, strike ratio, impact angle distribution, probability matching rule, systematic physicalism, cosine density, randomizing variable, microlevel information, ith collision, biological evolution function, rolling ball experiment, outcome partition, other macrovariables, multivariable experiments, macrolevel information, composite experiment, current microstate
Key Phrases - Capitalized Phrases (CAPs): (learn more)
Are There Simple Probabilities
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