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 xi
... major consequences. Conversely, they are familiar to anyone who has been surprised when large changes in policies or tools produce no long-run change in people's behavior. When managers and policy makers hear about complexity research ...
... major consequences. Conversely, they are familiar to anyone who has been surprised when large changes in policies or tools produce no long-run change in people's behavior. When managers and policy makers hear about complexity research ...
الصفحة 4
... major concepts in the book, we distinguish it with boldface type.) An agent has the ability to interact with its environment, including other agents. An agent can respond to what happens around it and can do things more or less ...
... major concepts in the book, we distinguish it with boldface type.) An agent has the ability to interact with its environment, including other agents. An agent can respond to what happens around it and can do things more or less ...
الصفحة 5
... major concept. Indeed, the idea is so central that we sometimes refer to our framework as the “population approach to Complex Adaptive Systems.” If you are seeking to harness complexity, populations are important in three ways: as a ...
... major concept. Indeed, the idea is so central that we sometimes refer to our framework as the “population approach to Complex Adaptive Systems.” If you are seeking to harness complexity, populations are important in three ways: as a ...
الصفحة 7
... major way in which complex systems change is through change in the agents and their strategies. We saw earlier that there are many processes of strategy change. We will be interpreting them as many different forms of selection ...
... major way in which complex systems change is through change in the agents and their strategies. We saw earlier that there are many processes of strategy change. We will be interpreting them as many different forms of selection ...
الصفحة 13
... major driving forces of the situation, looking for policies that are robust even if there may be changes in currently dominant factors. By encouraging structured thought about the future, scenario generation tries to secure the benefits ...
... major driving forces of the situation, looking for policies that are robust even if there may be changes in currently dominant factors. By encouraging structured thought about the future, scenario generation tries to secure the benefits ...
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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