© 2008

Organic Computing


Part of the Understanding Complex Systems book series (UCS)

Table of contents

  1. Front Matter
    Pages I-XI
  2. Rolf P. Würtz
    Pages 1-6
  3. Christoph von der Malsburg
    Pages 7-24
  4. Christian Müller-Schloer, Bernhard Sick
    Pages 81-103
  5. Jürgen Branke, Hartmut Schmeck
    Pages 123-140
  6. Christian Igel, Bernhard Sendhoff
    Pages 141-166
  7. Simon Harding, Wolfgang Banzhaf
    Pages 201-219
  8. Daniel Merkle, Martin Middendorf, Alexander Scheidler
    Pages 221-239
  9. Thilo Streichert, Christian Haubelt, Dirk Koch, Jürgen Teich
    Pages 241-260
  10. Uwe Brinkschulte, Mathias Pacher, Alexander von Renteln
    Pages 261-283
  11. 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.


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

Authors and affiliations

  1. 1.Institut für NeuroinformatikRuhr-Universitêt BochumD-44780 BochumGermany

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