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Dynamics Of Complex Systems (Studies in Nonlinearity)
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Top Customer Reviews
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.Read more ›
This book is not designed as an introductory text, at least not in the standard sense, and will likely be incomprehensible to those who don't already have a significant background in mathematics and the physical sciences. Rather, this book is intended to serve as a general reference for those who already have a graduate-level understanding of more "traditional" aspects of physics and mathematics, but who want to be introduced to non-linear dynamical systems theory and the science of complex systems. It would work decently well as a textbook in a graduate-level course on those topics, though it is beginning to show its age by this point. Complex systems science is developing extremely rapidly as a field, and this book leaves out many of the most important advancements that have taken place in the last ten to fifteen years. This is not necessarily a problem given the book's intended purpose, but someone who wants to have a good understanding of the current state of play in complex systems theory will need to supplement this text with more recent sources.
It works extremely well as a desk reference for researchers and academics working in complexity theory and its adjacent fields.Read more ›
Most Recent Customer Reviews
This book is terrible. It is overly ambitious by attempting to present too many topics, none of them are covered in depth, making a mockery of what they really are. Read morePublished 13 months ago by LB
This is a beautifully written and thought-provoking work that presents the field of complex systems in a unified manner. Read morePublished on July 16, 2007 by ilya
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... Read more
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 morePublished on April 2, 2007 by Glenn L. E. May
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 morePublished on October 14, 2006 by Dr. Lee D. Carlson
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 morePublished on June 26, 2003