Ebook Free Complexity: A Guided Tour
Ebook Free Complexity: A Guided Tour
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Complexity: A Guided Tour
Ebook Free Complexity: A Guided Tour
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About the Author
Melanie Mitchell is Professor of Computer Science at Portland State University and External Professor at the Santa Fe Institute.
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Product details
Paperback: 368 pages
Publisher: Oxford University Press; 1 edition (September 1, 2011)
Language: English
ISBN-10: 0199798109
ISBN-13: 978-0199798100
Product Dimensions:
9.2 x 1.1 x 6.1 inches
Shipping Weight: 1.4 pounds (View shipping rates and policies)
Average Customer Review:
4.3 out of 5 stars
120 customer reviews
Amazon Best Sellers Rank:
#108,044 in Books (See Top 100 in Books)
This book is easily the best introductory "guided tour" of complexity I know of. It has several key strengths:1. Mitchell covers many of the major topics which can reasonably be grouped under the umbrella of complexity, so the breadth of the book is excellent. For my benefit and yours, here are the main topics covered, roughly in the order they appear in the book: chaos, information, thermodynamics, Godel's theorem, Turing machines, evolution, genetics, measures of complexity, fractals, self-reproducing automata, genetic algorithms, cellular automata, artificial life, information processing in living systems, analogy-finding algorithms, game theory, networks, power laws, metabolic scaling, random boolean networks, and historical foundations of complex systems research (cybernetics, general systems theory, synergetics, etc.). This long list leaves out some significant complexity topics, but Mitchell's scope is still plentiful for an introductory guided tour.2. The topics are covered in sufficient depth to clearly convey the key concepts, which reflects the fact that Mitchell is a scientist who really knows the subject. Though the treatment is certainly introductory, rest assured that this isn't a superficial journalistic popularization which drops lots of names and terminology without getting into any real content.3. Mitchell's writing style is concise and precise, but still friendly and not at all terse. The book is quite easy to read if you have a decent background in general science.4. General readers will appreciate that there isn't much formal math in the book, yet Mitchell explains things in a way that nicely intimates the outlines of the math for readers who are math-savvy.5. Mitchell's presentation is sober and honest. She naturally highlights the potentials and promise of complex systems science, but she also openly acknowledges its past dead ends and likely future limitations.6. There are biographical notes interspersed throughout the book, which adds a nice human touch.For completeness, I'll note that I did notice a few technical errors in Mitchell's initial discussion of immunology. But these errors don't invalidate the general message, and can be overlooked, considering the overall excellence of the book.The bottom line is that I highly recommend this book to anyone interested in complexity (how could you not be?). It's a perfect introduction for beginners, and people well-versed in the subject will also appreciate the convenience of having a high-quality broad overview within the covers of just one book.
I'm a philosopher of science specializing in the foundations of complex systems theory, and this is absolutely the best comprehensive introduction to the field that I've come across. Mitchell is a computer science professor, as well as part of the Santa Fe Institute, so she's absolutely a reliable source on this topic. The book is extremely accessible for someone with very little background in dynamical systems theory or higher mathematics, and despite being mostly non-technical, does a good job actually articulating the central problems and concepts clearly without sacrificing precision or accuracy. It's a wonderful overview of the field, and I highly recommend it to anyone who is curious about what the hell a "complex system" is, why they're worth studying, and how science is learning to deal with them. Anyone interested in where science (and philosophy of science) will be headed during the 21st century should pick this book up: the study of complex systems is poised to be the next "big thing" (or paradigm shift) within the natural sciences, and it's relevant to a really mind-boggling array of contemporary scientific, social, political, and philosophical problems.
This is not an encyclopedia. To appreciate it, you will have to spend just a little time considering what Dr. Mitchell has to present. While no math is required, it is helpful to know some. No science background is required, but it is beneficial to have had at least a couple of classes in science.I read many of the one and two star grumbles below before I posted this. Somehow, they missed the point of her book. The world is far more complex and fascinating than we imagined. She integrates birds, broccoli, social networks, earthquakes, and economic concepts by presenting some of the hidden common factors.Is this complete? No. The field seems to be at a similar point to where the mathematics was before the birth of Leibnitz and Newton. On the other hand, you might suddenly see a connection no one else has. Here is an example. There is a similarity between the studies of cities, information theory concepts, and ants. Enjoy the exploration.
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