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  • © 2008

Organic Computing

Authors:

  • Brings together the state of the art in organic computing
  • Includes articles by Christoph von der Malsburg, Klaus Mainzer, or Richard Bellmanns (the inventor of dynamic programming) daughter Kirstie setting the foundations regarding brain-organization, emergence, and selforganization
  • Demonstrates the mechanisms of "Learning from Nature" which is a founding principle of Organic Computing
  • The presented projects are building on work done in brain theory, neural networks, evolutionary computation, optimization, and network theory
  • Includes supplementary material: sn.pub/extras

Part of the book series: Understanding Complex Systems (UCS)

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Table of contents (15 chapters)

  1. Front Matter

    Pages I-XI
  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. Controlled Emergence and Self-Organization

    • Christian Müller-Schloer, Bernhard Sick
    Pages 81-103
  5. Evolutionary Design of Emergent Behavior

    • Jürgen Branke, Hartmut Schmeck
    Pages 123-140
  6. Genesis of Organic Computing Systems: Coupling Evolution and Learning

    • Christian Igel, Bernhard Sendhoff
    Pages 141-166
  7. Artificial Development

    • Simon Harding, Wolfgang Banzhaf
    Pages 201-219
  8. Self-adaptive Worker-Helper Systems with Self-Organized Task Allocation

    • Daniel Merkle, Martin Middendorf, Alexander Scheidler
    Pages 221-239
  9. Concepts for Self-Adaptive and Self-Healing Networked Embedded Systems

    • Thilo Streichert, Christian Haubelt, Dirk Koch, Jürgen Teich
    Pages 241-260
  10. An Artificial Hormone System for Self-Organizing Real-Time Task Allocation in Organic Middleware

    • Uwe Brinkschulte, Mathias Pacher, Alexander von Renteln
    Pages 261-283
  11. Self-organized Evaluation of Dynamic Hand Gestures for Sign Language Recognition

    • Maximilian Krüger, Christoph von der Malsburg, Rolf P. Würtz
    Pages 321-342
  12. Back Matter

    Pages 247-253

About this book

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.

Authors and Affiliations

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

    Rolf P. Würtz

Bibliographic Information

Buy it now

Buying options

eBook USD 129.00
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book USD 169.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book USD 169.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Other ways to access