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Harnessing Complexity: Organizational Implications of a...

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Click here to buy Harnessing Complexity: Organizational Implications of a... by  Robert Axelrod and Michael D. Cohen. Harnessing Complexity: Organizational Implications of a...
by Robert Axelrod and Michael D. Cohen
Sales Rank: 251435
3.0 out of 5 stars
$10.88
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on 11-14-2008.
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Features
  • Cover Type: Paperback with 208 pages
  • Published by: Basic Books August 1, 2001
  • Written in: English
  • ISBN 10 Number: 0465005500
  • ISBN 13 Number: 978-0465005505
  • Book Dimensions: 8 x 5.4 x 0.5 inches
  • Weighs: 1.5 pounds

From Publishers Weekly
In a world where companies are forced to adapt to an ever more quickly changing marketplace, where people from diverse backgrounds must work together in order to solve problems rapidly and the future is hard to predict, wouldn't it be wonderful if all this complexity could work to your advantage? Axelrod (The Evolution of the Corporation) and Cohen (a consultant to the Xerox Palo Alto Research Center), both professors at the University of Michigan, aim to draw on the principles of evolutionary biology, computer science and social design to explain the functioning of "complex adaptive systems" (specifically businesses), and how to improve them. They explore such abstract issues as whether to encourage variation in a rapidly changing situation (whether it refers to a diversity of products or problem-solving approaches, variety is defined as "the raw material for adaptation"); the impact of manipulating interactions (with respect to time as well as both physical and conceptual space) in an organization; and how to select and support the most viable individuals, teams, systems or business strategies that emerge. Although their schematic approach and well-drawn anecdotal examples yield pragmatic insights, Axelrod and Cohen rely on somewhat idiosyncratic terminology to make their key points: "Agents of a variety of types use their strategies in patterned interaction, with each other and with artifacts" (authors' emphasis). While most managers are aware of complexity theory and are eager to learn how to adapt it to their organizations, some may be put off by the convoluted language used here. Agent, Raphael Sagalyn. (May)
Copyright 2000 Reed Business Information, Inc. --This text refers to an out of print or unavailable edition of this title.

From Booklist
Management theorists are increasingly turning to complexity science in their search for answers to questions about organizational behavior. Axelrod and Cohen are professors of public policy. Their perspective on complexity is on building effective teams from complex groups of individuals. Axelrod is the author of the groundbreaking The Evolution of Cooperation (1984) and its follow-up, The Complexity of Cooperation (1997). Cohen has served on the external faculty at the Santa Fe Institute, a leading research facility in the field of complexity. Drawing on their research done for a report on national information policy by the Highlands Forum under the aegis of the Department of Defense, the authors offer numerous business, political, and cultural applications for their model of complex adaptive systems. Clarifying the differences between complexity and chaos theories, they trace the principles of complex adaptive systems to evolutionary biology, computer science, and social design; and they outline three key processes of such systems: variation, interaction, and selection. David Rouse
Copyright © American Library Association. All rights reserved --This text refers to an out of print or unavailable edition of this title.

Reader Reviews
This review is from: Harnessing Complexity: Organizational Implications of a Scientific Frontier (Hardcover) HARNESSING COMPLEXITY is a breakthrough book on complexity science. It provides the first useful framework and vocabulary for evaluating complex adaptive systems, while giving you the first guidelines for considering how to use the circumstances of your complex adaptive system to your organization's advantage. All of this is beautifully summarized in a brief concluding chapter. I suggest you begin by reading that chapter, so you will have a better idea of why you are learning what you are learning. This approach will also be improved by keeping in mind some problem or opportunity that you want to think about in terms of complexity science as you read the book. You'll get more out of the book that way. But do be warned that the book starts off like a typical popular book on a technical subject by academics. There are lots of references to the work of others, lots of pages of definitions, and a very long introduction. But don't be fooled; it's just laying the groundwork for enabling you to apply a new framework to your situation. But the writing is simple and clear. The examples are varied and interesting -- drawn from computer sciences, evolutionary biology and social design. One of those areas is bound to interest you. The framework is pretty simple: Variation (we usually encourage too little of it -- that's our old friend complacency fooling us, again); Interaction (connections cause ideas and physical changes to grow in significance -- showing the importance of overcoming the communications stall); and Selection (watch the tendency to close off experimentation too quickly or to reward the wrong behavior -- avoiding the misconception and disbelief stalls). I found that the framework immediately worked in thinking about problems that I have been considering, like how to spread the awareness of superior practices. In fact, the framework itself is a good example of a theoretical best practice thinking exercise. I highly commend it to you. Unfortunately, the book will appear to be too difficult and too abstract in concepts for many. I suggest the authors plan to follow this book with one more along the lines of The 7 Habits of Highly Effective Complexity Harnessers (I'm sure they'll find a better title). The point is that most readers will want more help with application, and less development of the framework. I strongly recommend this book to those who want to understand more about complexity science. The nontechnical overview is excellent. But more importantly, I strongly recommend that you try to apply the book's principles as expressed in the conclusion to your own issues, those of your organization, and those of humanity and the other species on Earth. I think this book can be a big help in speeding human-led progress.


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