Emergence in Organic Computing Systems: Discussion of a Controversial Concept

  • Christian Müller-Schloer
  • Bernhard Sick
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4158)


Philosophy of mind has investigated the emergent behavior of complex systems for more than a century. However, terms such as “weak” or “strong” emergence are hardly applicable to intelligent technical systems. Organic Computing has the goal to utilize concepts such as emergence and self-organization to build complex technical systems. At first glance this seems to be a contradiction, but: These systems must be reliable and trustworthy! In order to measure, to control, and even to design emergence, a new notion or definition of emergence is needed. This article first describes the definition of emergence as used in philosophy of mind because this definition is often misunderstood or misinterpreted. Then, some very recent approaches for definitions of emergence in more or less technical contexts are discussed from the viewpoint of Organic Computing. The article concludes with some new thoughts that may help to come to a unifying notion of emergence in intelligent technical systems.


Technical System Emergent Property Strong Emergence Emergent Behavior Resonant Circuit 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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  1. 1.
    Müller-Schloer, C.: Organic computing – on the feasibility of controlled emergence. In: IEEE/ACM/IFIP International Conference on Hardware/Software Codesign and System Synthesis (CODES+ISSS 2004), Stockholm, pp. 2–5 (2004)Google Scholar
  2. 2.
    Fromm, J.: Ten questions about emergence, Technical Report (2005), online: http://arxiv.org/abs/nlin.AO/0509049
  3. 3.
    Stephan, A.: Emergenz: Von der Unvorhersagbarkeit zur Selbstorganisation, 2nd edn. Mentis, Paderborn (2005)Google Scholar
  4. 4.
    Martinoli, A., Mondada, F.: Collective and cooperative group behaviors: Biologically inspired experiments in robotics. In: Khatib, O., Salisbury, J.K. (eds.) Experimental Robotics IV, The 4th International Symposium. Lecture Notes in Control and Information Sciences, vol. 223, pp. 1–10. Springer, Heidelberg (1997)CrossRefGoogle Scholar
  5. 5.
    Stephan, A.: Zur Rolle des Emergenzbegriffs in der Philosophie des Geistes und in der Kognitionswissenschaft. In: Sturma, D. (ed.) Philosophie und Neurowissenschaften, Suhrkamp, Frankfurt am Main. Taschenbuch Wissenschaft, vol. 1770, pp. 146–166 (2006)Google Scholar
  6. 6.
    Buchtala, O., Sick, B.: Techniques for the fusion of symbolic rules in distributed organic systems. In: Proceedings of the IEEE Mountain Workshop on Adaptive and Learning Systems (SMCals/2006), Logan, pp. 85–90 (2006)Google Scholar
  7. 7.
    Cruse, H., Dean, J., Ritter, H.: Die Entdeckung der Intelligenz oder Können Ameisen denken? Deutscher Taschenbuch Verlag, München (2001)Google Scholar
  8. 8.
    Fromm, J.: Types and forms of emergence, Technical Report (2005), online: http://arxiv.org/abs/nlin.AO/0506028
  9. 9.
    Fromm, J.: The Emergence of Complexity. Kassel University Press (2004)Google Scholar
  10. 10.
    De Wolf, T., Holvoet, T.: Emergence versus self-organisation: Different concepts but promising when combined. In: Brueckner, S.A., Di Marzo Serugendo, G., Karageorgos, A., Nagpal, R. (eds.) ESOA 2005. LNCS, vol. 3464, pp. 1–15. Springer, Heidelberg (2005)CrossRefGoogle Scholar
  11. 11.
    Abbott, R.: Emergence explained: Getting epiphenomena to do real work, Technical Report (2005), online: http://cs.calstatela.edu/abbott/
  12. 12.
    Mnif, M., Müller-Schloer, C.: Quantitative emergence. In: Proceedings of the IEEE Mountain Workshop on Adaptive and Learning Systems (SMCals/2006), Logan, pp. 78–84 (2006)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Christian Müller-Schloer
    • 1
  • Bernhard Sick
    • 2
  1. 1.Institute for Systems Engineering – System and Computer ArchitectureUniversity of HannoverHannoverGermany
  2. 2.Faculty of Computer Science and Mathematics – Institute of Computer ArchitecturesUniversity of PassauPassauGermany

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