© 2011

Organic Computing — A Paradigm Shift for Complex Systems

  • Christian Müller-Schloer
  • Hartmut Schmeck
  • Theo Ungerer

Part of the Autonomic Systems book series (ASYS, volume 1)

Table of contents

  1. Front Matter
    Pages I-XXX
  2. Theoretical Foundations

    1. Front Matter
      Pages 1-3
    2. Hartmut Schmeck, Christian Müller-Schloer, Emre Çakar, Moez Mnif, Urban Richter
      Pages 5-37
    3. Moez Mnif, Christian Müller-Schloer
      Pages 39-52
    4. Dominik Fisch, Martin Jänicke, Christian Müller-Schloer, Bernhard Sick
      Pages 53-66
    5. Peter Kreyssig, Peter Dittrich
      Pages 67-78
    6. Florian Nafz, Hella Seebach, Jan-Philipp Steghöfer, Gerrit Anders, Wolfgang Reif
      Pages 79-93
    7. Alexander Scheidler, Arne Brutschy, Konrad Diwold, Daniel Merkle, Martin Middendorf
      Pages 95-109
    8. Mathias Gutmann, Benjamin Rathgeber, Tareq Syed
      Pages 111-125
  3. Methods and Tools

    1. Front Matter
      Pages 127-129
    2. Helge Parzyjegla, Arnd Schröter, Enrico Seib, Sebastian Holzapfel, Matthäus Wander, Jan Richling et al.
      Pages 131-144
    3. Hella Seebach, Florian Nafz, Jan-Philipp Steghöfer, Wolfgang Reif
      Pages 145-161
    4. David Kramer, Rainer Buchty, Wolfgang Karl
      Pages 163-177
    5. Marc Reichenbach, Ralf Seidler, Dietmar Fey, Benjamin Pfundt
      Pages 179-192
    6. Paul Kaufmann, Marco Platzner
      Pages 193-206
    7. Naoki Matsumaru, Peter Kreyssig, Peter Dittrich
      Pages 207-220
    8. Sebastian Ebers, Sándor P. Fekete, Stefan Fischer, Horst Hellbrück, Björn Hendriks, Axel Wegener
      Pages 221-234
  4. Learning

    1. Front Matter
      Pages 235-236
    2. Emre Cakar, Nugroho Fredivianus, Jörg Hähner, Jürgen Branke, Christian Müller-Schloer, Hartmut Schmeck
      Pages 237-251
    3. Andreas Bernauer, Johannes Zeppenfeld, Oliver Bringmann, Andreas Herkersdorf, Wolfgang Rosenstiel
      Pages 253-265

About this book


Organic Computing has emerged as a challenging vision for future information processing systems. Its basis is the insight that we will increasingly be surrounded by and depend on large collections of autonomous systems, which are equipped with sensors and actuators, aware of their environment, communicating freely, and organising themselves in order to perform actions and services required by the users.


These networks of intelligent systems surrounding us open fascinating application areas and at the same time bear the problem of their controllability. Hence, we have to construct such systems as robust, safe, flexible, and trustworthy as possible. In particular, a strong orientation towards human needs as opposed to a pure implementation of the technologically possible seems absolutely central. The technical systems, which can achieve these goals will have to exhibit life-like or "organic" properties. "Organic Computing Systems" adapt dynamically to their current environmental conditions. In order to cope with unexpected or undesired events they are self-organising, self-configuring, self-optimising, self-healing, self-protecting, self-explaining, and context-aware, while offering complementary interfaces for higher-level directives with respect to the desired behaviour. First steps towards adaptive and self-organising computer systems are being undertaken. Adaptivity, reconfigurability, emergence of new properties, and self-organisation are hot topics in a variety of research groups worldwide.


This book summarises the results of a 6-year priority research program (SPP) of the German Research Foundation (DFG) addressing these fundamental challenges in the design of Organic Computing systems. It presents and discusses the theoretical foundations of Organic Computing, basic methods and tools, learning techniques used in this context, architectural patterns and many applications. The final outlook shows that in the mean-time Organic Computing ideas have spawned a variety of promising new projects.


adaptive and self-organizing computer systems distributed Embedded Systems information processing systems

Editors and affiliations

  • Christian Müller-Schloer
    • 1
  • Hartmut Schmeck
    • 2
  • Theo Ungerer
    • 3
  1. 1., Institute for Systems EngineeringLeibniz Universität HannoverHannoverGermany
  2. 2., Institute AIFBKarlsruhe Institute of TechnologyKarlsruheGermany
  3. 3., Department of Computer ScienceUniversität AugsburgAugsburgGermany

Bibliographic information


From the reviews:

“This book discusses OC with regard to concepts, algorithms, architectures, hardware/software codesigns, the role of learning, user interactions, methods, and applications. It presents not only the basics of OC, but also the current state of research. … Researchers will find this book to be a good guide for OC, and it can be used as a textbook for a graduate or postgraduate course involving OC systems. Computer architects and managers in the industry will also find the book very useful.” (Maulik A. Dave, ACM Computing Reviews, January, 2012)