Buy Used
Condition: Used: Good
Comment: All items 100% guaranteed. Eligible for Amazon's FREE Super Saver/Prime Shipping. Modest yellowing of pages. Some edge wear on cover.
Access codes and supplements are not guaranteed with used items.
Have one to sell? Sell on Amazon
Flip to back Flip to front
Listen Playing... Paused   You're listening to a sample of the Audible audio edition.
Learn more
See this image

Complexification: Explaining a Paradoxical World Through the Science of Surprise Hardcover – March 18, 1994

ISBN-13: 978-0060168889 ISBN-10: 0060168889 Edition: 1st

Price: $3.73
16 New from $6.64 83 Used from $0.01 7 Collectible from $9.75
Amazon Price New from Used from
"Please retry"
$6.64 $0.01
Free Two-Day Shipping for College Students with Amazon Student Free%20Two-Day%20Shipping%20for%20College%20Students%20with%20Amazon%20Student

Best Books of the Year
See the Best Books of 2014
Looking for something great to read? Browse our editors' picks for 2014's Best Books of the Year in fiction, nonfiction, mysteries, children's books, and much more.

Hero Quick Promo
Save up to 90% on Textbooks
Rent textbooks, buy textbooks, or get up to 80% back when you sell us your books. Shop Now

Product Details

  • Hardcover: 320 pages
  • Publisher: HarperCol; 1st edition (March 18, 1994)
  • Language: English
  • ISBN-10: 0060168889
  • ISBN-13: 978-0060168889
  • Product Dimensions: 1.2 x 6.5 x 9.5 inches
  • Shipping Weight: 1.2 pounds
  • Average Customer Review: 3.3 out of 5 stars  See all reviews (6 customer reviews)
  • Amazon Best Sellers Rank: #1,909,601 in Books (See Top 100 in Books)

Editorial Reviews

From Publishers Weekly

Most books on complexity theory promise to lead the epistemological thrill-seeker far out on the limb of theory. Not so Casti ( Searching for Certainty ). He admits early on to a major "surprise" about chaos and other formal systems: that even with artificial intelligence as a new tool, theory cannot capture nature. After an almost old-fashioned undergraduate review of basic concepts of dynamical systems, Casti shows how formal complexity models proceed from the basic "surprises." Always more interested in instructing than in dazzling with sensational and obtuse ideas, Casti steers the reader toward an understanding of the field. He's a good teacher and this is the kind of grounding lay readers should have before they step farther out on a new paradigm.
Copyright 1994 Reed Business Information, Inc.

About the Author

American complexity scientist and systems theoristJohn Casti, is cofounder of The X-Center, a Viennabasedresearch institute focusing on human-causedextreme events and how to anticipate them. Casti haspublished nearly twenty volumes of academic and popularscience and received his Ph.D. in mathematics from theUniversity of Southern California. He lives in Vienna,Austria.

More About the Author

One of the pioneers of complexity science and systems theory, John L. Casti, Ph.D., is Senior Research Scholar at the International Institute for Applied Systems Analysis, where he heads an initiative on Extreme Events in Human Society. He worked for many years at the Sante Fe Institute and The RAND Corporation, as well as serving on the faculties of Princeton, the University of Arizona, and New York University. A former editor of the journal Complexity, Casti has published nearly 20 volumes of academic and popular science and received his Ph.D. in mathematics from the University of Southern California. He lives in Vienna, Austria.

Customer Reviews

3.3 out of 5 stars
Share your thoughts with other customers

Most Helpful Customer Reviews

16 of 21 people found the following review helpful By A Customer on September 27, 1999
Format: Paperback
While parts of this book were very thought-provoking, too many details were either left out or skimmed over to allow this book to stand alone. For example, the formula the author supplies to calculate the eccentricity of a simplex couldn't possibly produce the results he gives in the adjoining table; some are infinite, and the formula as he states is specifically designed to avoid such results. If you're really interested in catastophe theory or chaos theory, make sure you read this book where you have other reference materials on hand.
Comment Was this review helpful to you? Yes No Sending feedback...
Thank you for your feedback. If this review is inappropriate, please let us know.
Sorry, we failed to record your vote. Please try again
1 of 1 people found the following review helpful By Matthew Gerke on November 8, 2013
Format: Paperback
It's hard to imagine who is the intended audience of this book. He skips over most of the math, but he still tells the reader mathematical conclusions. Things like "From this it can be shown that [some coefficient he doesn't really explain] is generally strongly positive in the presence of chaos." I'm just not sure how useful it is to me to tell me that a test for chaos exists but not explain to me, even conceptually, what the test does or why it works. I think there's some smart stuff in there, but it's too well hidden to be useful. The only reason I got as far as I did was because I was already familiar with a lot of the examples from Chaos: Making a New Science. The examples in Complexification were almost impossible to follow without prior familiarity with the models.
Comment Was this review helpful to you? Yes No Sending feedback...
Thank you for your feedback. If this review is inappropriate, please let us know.
Sorry, we failed to record your vote. Please try again
7 of 11 people found the following review helpful By S. A. Corning on April 29, 2002
Format: Paperback
I found this to be an easy to read introduction to current hot topics in science and math. Catastrophe theory, Complexity, Chaos, and emergence. There is also an excellent listing of resources with commentary in the back of the book, called, "to dig deeper". I am an engineer with an MBA, so found a number of the examples very interesting. For the curious, (or less technically adept), this is very well written. Mr. Casti goes quickly from theory to "real world" examples. His illustrations are also very helpful to understanding the basic principles. Most books on complexity contain way too much math for the average reader, or are very simplistic, "Ubiquity" as an example. I think you will find a nice balance here.
Comment Was this review helpful to you? Yes No Sending feedback...
Thank you for your feedback. If this review is inappropriate, please let us know.
Sorry, we failed to record your vote. Please try again