Harnessing Complexity: Organizational Implications of a Scientific Frontier By Robert Axelrod, Michael D Cohen

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Harnessing Complexity: Organizational Implications of a Scientific Frontier
 By Robert Axelrod, Michael D Cohen

Harnessing Complexity: Organizational Implications of a Scientific Frontier By Robert Axelrod, Michael D Cohen


Harnessing Complexity: Organizational Implications of a Scientific Frontier
 By Robert Axelrod, Michael D Cohen


Download PDF Harnessing Complexity: Organizational Implications of a Scientific Frontier By Robert Axelrod, Michael D Cohen

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Harnessing Complexity: Organizational Implications of a Scientific Frontier
 By Robert Axelrod, Michael D Cohen

  • Sales Rank: #1037920 in Books
  • Brand: Brand: Free Press
  • Published on: 2000-05-12
  • Original language: English
  • Number of items: 1
  • Dimensions: 8.64" h x .78" w x 5.82" l,
  • Binding: Hardcover
  • 208 pages
Features
  • Used Book in Good Condition

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.

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

Review
Hal Varian Dean, School of Information & Management Systems, University of California, Berkeley, and coauthor of Information Rules: A Strategic Guide to the Network Economy You can't control complex systems, but you can influence them. Harnessing Complexity shows how. It is the first book to show how to make complexity work for you. -- Review

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