Managing complexity : insights, concepts, applications
Author(s)
Bibliographic Information
Managing complexity : insights, concepts, applications
（Understanding complex systems / founding editor, J.A. Scott Kelso）（Springer complexity）
Springer, c2008
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Note
Includes bibliographical references and index
Description and Table of Contents
Description
The essays and lectures collected in this book center around knowledge transfer from the complex-system sciences to applications in business, industry and society, as viewed from a broad perspective. The contributions aim to raise awareness across the spectrum to meet the increasing need to integrate lessons from complexity research into everyday planning, decision making, logistics or optimization procedures and forecasting. The writing has been largely kept non-technical.
Table of Contents
Managing Complexity: An Introduction.- Managing Complexity: An Introduction.- Markets and Business.- Market Segmentation: The Network Approach.- Managing Autonomy and Control in Economic Systems.- Complexity and the Enterprise: The Illusion of Control.- Logistics and Production.- Benefits and Drawbacks of Simple Models for Complex Production Systems.- Logistics Networks: Coping with Nonlinearity and Complexity.- Repeated Auction Games and Learning Dynamics in Electronic Logistics Marketplaces: Complexity, Bounded Rationality, and Regulation through Information.- Traffic.- Decentralized Approaches to Adaptive Traffic Control.- Critical Infrastructures Vulnerability: The Highway Networks.- Critical Infrastructures and Systemic Risks.- Trade Credit Networks and Systemic Risk.- A Complex System's View of Critical Infrastructures.- Information Systems.- Bootstrapping the Long Tail in Peer to Peer Systems.- Coping with Information Overload through Trust-Based Networks.- Confiict and Consensus.- Complexity in Human Conflict.- Fostering Consensus in Multidimensional Continuous Opinion Dynamics under Bounded Confidence.- Multi-Stakeholder Governance - Emergence and Transformational Potential of a New Political Paradigm.- Confiict and Consensus.- Evolutionary Engineering of Complex Functional Networks.- Path Length Scaling and Discrete Effects in Complex Networks.
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