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 4
... properties. These include location—where the agent operates; capabilities—how the agent can affect the world; and memory—what impressions the agent can carry forward from its past. The second key concept is strategy, the way an agent ...
... properties. These include location—where the agent operates; capabilities—how the agent can affect the world; and memory—what impressions the agent can carry forward from its past. The second key concept is strategy, the way an agent ...
الصفحة 6
... properties, such as location or capabilities. A toy may respond to a child who winds its spring. Artifacts may have “affordances,” features that evoke certain behavior from agents, like the beautiful handle of a pitcher that invites the ...
... properties, such as location or capabilities. A toy may respond to a child who winds its spring. Artifacts may have “affordances,” features that evoke certain behavior from agents, like the beautiful handle of a pitcher that invites the ...
الصفحة 15
... properties and other characteristics of complex systems as a class (see, for example, Belew and Mitchell, 1996). To distinguish systems that do have a lot of “moving parts” but may not be complex, we will use the term complicated ...
... properties and other characteristics of complex systems as a class (see, for example, Belew and Mitchell, 1996). To distinguish systems that do have a lot of “moving parts” but may not be complex, we will use the term complicated ...
الصفحة 16
... properties (for example, Bak, 1996; Cowan, et al., 1994). If there will be a consensus on a precise definition of ... characteristics that distinguish it to some degree from the others. At the same time, there are recurring deep themes ...
... properties (for example, Bak, 1996; Cowan, et al., 1994). If there will be a consensus on a precise definition of ... characteristics that distinguish it to some degree from the others. At the same time, there are recurring deep themes ...
الصفحة 17
... properties such as self-reproduction (Langton, 1988). • Mathematical theories to formalize the measurement of the complexity of a system (Lloyd, 1990; Gell-Mann, 1995). Despite the diversity of these areas, we can identify recurring ...
... properties such as self-reproduction (Langton, 1988). • Mathematical theories to formalize the measurement of the complexity of a system (Lloyd, 1990; Gell-Mann, 1995). Despite the diversity of these areas, we can identify recurring ...
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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