Harnessing ComplexityBasic Books, 01/08/2008 - 208 من الصفحات Harnessing Complexity will be indispensable to anyone who wants to better comprehend how people and organizations can adapt effectively in the information age. This book is a step-by-step guide to understanding the processes of variation, interaction, and selection that are at work in all organizations. The authors show how to use their own paradigm of "bottom up" management, the Complex Adaptive System-whether in science, public policy, or private commerce. This simple model of how people work together will change forever how we think about getting things done in a group. "Harnessing Complexity distills the managerial essence of current research on complexity. "A very valuable contribution to the emerging theory of competition and competitive advantage."-C.K. Prahalad, University of Michigan, coauthor of Competing for the Future "A brilliant exposition that demystifies both the theory and use of Complex Adaptive Systems."-John Seely Brown, Xerox Corporation and Palo Alto Research Center |
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الصفحة viii
... Agent Following a Signal Example: Tags in the Prisoner's Dilemma Forming Boundaries Separating Time Scales Redistributing Stress Example: Modes of Failure in Information Systems Organizing Routines ... Agents Selection of viii Contents.
... Agent Following a Signal Example: Tags in the Prisoner's Dilemma Forming Boundaries Separating Time Scales Redistributing Stress Example: Modes of Failure in Information Systems Organizing Routines ... Agents Selection of viii Contents.
الصفحة ix
Robert Axelrod, Michael D Cohen. Determining the Level of Selection Selection of Agents Selection of Strategies Attributing Credit for Success and Failure Example: Military Simulation Creating New Agents or Strategies The Key Role of ...
Robert Axelrod, Michael D Cohen. Determining the Level of Selection Selection of Agents Selection of Strategies Attributing Credit for Success and Failure Example: Military Simulation Creating New Agents or Strategies The Key Role of ...
الصفحة xiii
... agents can be designed to work together and even adapt over time to each other and to their ever-changing environment. Two areas of computer science have been especially important to us. First, there is the field of evolutionary ...
... agents can be designed to work together and even adapt over time to each other and to their ever-changing environment. Two areas of computer science have been especially important to us. First, there is the field of evolutionary ...
الصفحة xv
... agents. While complex systems may be hard to predict, they may also have a good deal of structure and permit improvement by thoughtful intervention. Our approach is not just an extended “evolutionary metaphor,” nor is it part of Social ...
... agents. While complex systems may be hard to predict, they may also have a good deal of structure and permit improvement by thoughtful intervention. Our approach is not just an extended “evolutionary metaphor,” nor is it part of Social ...
الصفحة 3
... agents. To get a feel for how it works, consider these situations: • A member of a work team wants to elicit cooperation from coworkers to get a job done; • An impoverished woman in Bangladesh needs to borrow a little money from someone ...
... agents. To get a feel for how it works, consider these situations: • A member of a work team wants to elicit cooperation from coworkers to get a job done; • An impoverished woman in Bangladesh needs to borrow a little money from someone ...
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able actions activation actually advantage agents allow alter approach attribution barriers become better biological called cause central chapter Complex Adaptive Systems complex systems concepts consequences consider cooperation copying costs create criteria effective elements example experience exploitation exploration factors failures framework frequency future happen harnessing complexity ideas important improvement increase individuals interaction interaction patterns interested involve Italy kind lead learning less Linux major managers means measures mechanisms military models move neighborhood networks observe occur officers operating organizations patterns performance physical population possible prediction prize problem processes properties questions reduce requires result risk rules selection signal situations social space spread strategies structure success tags tion types variation variety wide