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Managing Complexity: Insights, Concepts, Applications

Each chapter in Managing Complexity focuses on analyzing real-world complex systems and transferring knowledge from the complex-systems sciences to applications in business, industry and society. The interdisciplinary contributions range from markets and production through logistics, traffic control...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor Corporativo: SpringerLink (Online service)
Otros Autores: Helbing, Dirk (Editor )
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2008.
Edición:1st ed. 2008.
Colección:Understanding Complex Systems,
Temas:
Acceso en línea:Texto Completo
Tabla de Contenidos:
  • 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.