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Dynamics Of Complex Systems (Studies in Nonlinearity)
 
 
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Dynamics Of Complex Systems (Studies in Nonlinearity) (Hardcover)

by Yaneer Bar-yam (Author) "The study of complex systems in a unified framework has become recognized in recent years as a new scientific discipline, the ultimate of interdisciplinary fields..." (more)
Key Phrases: bonding neighborhood, subdivided network, subdivided architecture, Monte Carlo, Conway's Game of Life, Library of Congress (more...)
3.3 out of 5 stars See all reviews (9 customer reviews)


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Product Description
Describes the modern unified study of complex systems. Develops models and modeling techniques that are useful when applied to all complex systems. Discusses complex systems in the context of neural networks, protein folding, living organisms. DLC: Biomathematics.

About the Author
Yaneer Bar-Yam is President and founder of the New England Complex Systems Institute and Associate in the department of molecular and cellular biology at Harvard University. He is the author of the textbook, Dynamics n Complex Systems.

Product Details

  • Hardcover: 864 pages
  • Publisher: Westview Press; First Edition edition (September 10, 1997)
  • Language: English
  • ISBN-10: 0201557487
  • ISBN-13: 978-0201557480
  • Product Dimensions: 9.4 x 6.7 x 1.4 inches
  • Shipping Weight: 3 pounds
  • Average Customer Review: 3.3 out of 5 stars See all reviews (9 customer reviews)
  • Amazon.com Sales Rank: #303,592 in Books (See Bestsellers in Books)

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This book cites 65 books:
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42 books cite this book:
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Customer Reviews

9 Reviews
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Average Customer Review
3.3 out of 5 stars (9 customer reviews)
 
 
 
 
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Most Helpful Customer Reviews

 
35 of 40 people found the following review helpful:
2.0 out of 5 stars What happened with recent complexity?, June 26, 1999
By A Customer
This book is a big disappointment. In a 800- hundred pages volume one would expect to find the main ideas of the hot area of complexity. Most of the recent results obtained over the last 10 years are not there. Not a single word on criticality and scaling, modelling of random networks, the implications of critical phenomena to complexity, or the recent approaches to evolutionary dynamics. Even those problems already presented in other monographs (as pattern formation in biology) do not receive an adequate attention to those interested in complexity issues. Save your money.
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14 of 16 people found the following review helpful:
5.0 out of 5 stars An excellent overview of the study of complex systems, July 22, 1999
By A Customer
This text provides an excellent introduction to the numerous and diverse techniques used in the study of complex systems. The field of complex systems emerged from a union of ideas from many seemingly disparate areas of research. Where many texts on complex systems speak to this union of ideas, Bar-Yam's text focuses on both the ideas and their implementation in the form of techniques and methods used in the study of these systems. These methodologies originate from many fields of research and several texts could be written about any single one; however I feel that the author has done an excellent job in choosing an important set of problems to present and the detail in which they are presented. This book is appropriate for advanced undergraduates and graduate students. I highly recommended it to my students in my course on complex systems, and if your interests coincide with the topics covered in this book, I highly recommend it to you.
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8 of 9 people found the following review helpful:
5.0 out of 5 stars How complicated are we?, April 3, 2005
By Alwyn Scott (Tucson, Arizona USA) - See all my reviews
(REAL NAME)   
This book is designed as a text to introduce graduate students in science to the concepts and methods in the ``science of complexity'' which comprises studies in mathematics, physics, chemistry, biology, computer science, sociology, psychology, economics, anthropology, and philosophy. Written from the perspectives of a physicist, definitions are informal; thus a concise definition of a complex system is not given. The concept of a complex system is introduced through examples, and informally described as having ``a large number of interacting parts'' although ``even a few interacting objects can behave in complex ways.'' More precisely, complexity is defined as ``the amount of information necessary to describe a system.'' Another key concept is the phenomenon of emergence which arises when ``the collective behavior [of a complex system] is not readily understood from the behavior of its parts.''

Dynamics of Complex Systems opens with a long chapter (278 pages) of ``introduction and preliminaries'' which surveys iterative maps; thermodynamics and statistical mechanics; activated processes (glasses); cellular automata; statistical fields; computer simulations; information theory; computation; and fractals, scaling and renormalization. It is suggested that this chapter can serve as the basis for a one-semester course. This introductory chapter is followed by eight chapters devoted two each to four different subjects: neural networks, protein folding, biological evolution, and human civilization. In each of these pairs of chapters, the first is more detailed and the second more general. Thus the first of the two chapters on neural networks describes neural network models (Hopfield's attactor models) whereas the second discusses the phenomenon of sleep and models of mind, with similar divisions of labor in the pairs of chapters on protein folding and on biological evolution. In the final chapter, it is noted that ``human civilization is more complex than we are as individuals.''

Alwyn Scott
http://personal.riverusers.com/~rover/
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Most Recent Customer Reviews

5.0 out of 5 stars beautifully written and highly useful
This is a beautifully written and thought-provoking work that presents the field of complex systems in a unified manner. Read more
Published on July 16, 2007 by ilya

1.0 out of 5 stars The worst side of normal science
The book is a tour around the paradigms used by scientists in
Complex Systems. While normal science is about using and re-using the paradigms without much creativity or true... Read more
Published on April 23, 2007 by Surviving Modern Scientist

2.0 out of 5 stars Perpetuates the usual myths
that information is the opposite of entropy which is a measure of disorder or uncertainty. However because this book is about complexity and not information per se, I will only... Read more
Published on April 2, 2007 by Glenn L. E. May

3.0 out of 5 stars Interesting but incomplete
That physical systems are complex has been acknowledged for centuries, but only in recent decades has the scientific community, especially physicists and biologists, directly... Read more
Published on October 14, 2006 by Dr. Lee D. Carlson

2.0 out of 5 stars A Collage of Previous Work?
This is a simplistic, out of date treatment of a diverse and rapidly changing field. It is a disappoint that Bar Yam failed to capture the depth of the field, instead offering a... Read more
Published on June 26, 2003

5.0 out of 5 stars First text to unify the models of Complexity
This is a presentation of the models of complexity in a very clear and thought provoking way. Clearly presented for upper undergraduate/graduate level, rich in examples to deepen... Read more
Published on April 6, 1998

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