Organic Computing

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Authors:

• Rolf P. Würtz ⁰

1. Rolf P. Würtz

   1. Institut für Neuroinformatik, Ruhr-Universitêt Bochum, D-44780 Bochum, Germany
      

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Organic Computing is a research field emerging around the conviction that problems of organization in complex systems in computer science, telecommunications, neurobiology, molecular biology, ethology, and possibly even sociology can be tackled scientifically in a unified way. From the computer science point of view, the apparent ease in which living systems solve computationally difficult problems makes it inevitable to adopt strategies observed in nature for creating information processing machinery. In this book, the major ideas behind Organic Computing are delineated, together with a sparse sample of computational projects undertaken in this new field. Biological metaphors include evolution, neural networks, gene-regulatory networks, networks of brain modules, hormone system, insect swarms, and ant colonies. Applications are as diverse as system design, optimization, artificial growth, task allocation, clustering, routing, face recognition, and sign language understanding.

• Organic Computing
• architecture
• bio-inspired
• calculus
• cognition
• control
• dynamical systems
• dynamische Systeme
• evolution
• learning
• linear optimization
• neural networks
• optimization
• organization
• system

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1. Front Matter

   Pages I-XI

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2. Introduction: Organic Computing

   • Rolf P. Würtz

   Pages 1-6

3. The Organic Future of Information Technology

   • Christoph von der Malsburg

   Pages 7-24

4. Systems Engineering for Organic Computing: The Challenge of Shared Design and Control between OC Systems and their Human Engineers

   • Kirstie L. Bellman, Christopher Landauer, Phyllis R. Nelson

   Pages 25-80

5. Controlled Emergence and Self-Organization

   • Christian Müller-Schloer, Bernhard Sick

   Pages 81-103

6. Organic Computing and Complex Dynamical Systems – Conceptual Foundations and Interdisciplinary Perspectives

   • Klaus Mainzer

   Pages 105-122

7. Evolutionary Design of Emergent Behavior

   • Jürgen Branke, Hartmut Schmeck

   Pages 123-140

8. Genesis of Organic Computing Systems: Coupling Evolution and Learning

   • Christian Igel, Bernhard Sendhoff

   Pages 141-166

9. Organically Grown Architectures: Creating Decentralized, Autonomous Systems by Embryomorphic Engineering

   • René Doursat

   Pages 167-199

10. Artificial Development

    • Simon Harding, Wolfgang Banzhaf

    Pages 201-219

11. Self-adaptive Worker-Helper Systems with Self-Organized Task Allocation

    • Daniel Merkle, Martin Middendorf, Alexander Scheidler

    Pages 221-239

12. Concepts for Self-Adaptive and Self-Healing Networked Embedded Systems

    • Thilo Streichert, Christian Haubelt, Dirk Koch, Jürgen Teich

    Pages 241-260

13. An Artificial Hormone System for Self-Organizing Real-Time Task Allocation in Organic Middleware

    • Uwe Brinkschulte, Mathias Pacher, Alexander von Renteln

    Pages 261-283

14. Bio-Inspired Networking — Self-Organizing Networked Embedded Systems

    • Falko Dressler

    Pages 285-302

15. Subspace Image Representation for Facial Expression Analysis and Face Recognition and its Relation to the Human Visual System

    • Ioan Buciu, Ioannis Pitas

    Pages 303-320

16. Self-organized Evaluation of Dynamic Hand Gestures for Sign Language Recognition

    • Maximilian Krüger, Christoph von der Malsburg, Rolf P. Würtz

    Pages 321-342

17. Back Matter

    Pages 247-253

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• Institut für Neuroinformatik, Ruhr-Universitêt Bochum, D-44780 Bochum, Germany

  Rolf P. Würtz

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