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Self-Organizing Networked Systems for Technical Applications: A Discussion on Open Issues

  • Wilfried Elmenreich
  • Hermann de Meer
Part of the Lecture Notes in Computer Science book series (LNCS, volume 5343)

Abstract

The concept of self-organization has been examined oftentimes for several domains such as physics, chemistry, mathematics, etc. However, the current technical development opens a new field of self-organizing applications by creating systems of networked and massively distributed hardware with self-organized control. Having this view in mind, this papers reviews the questions: What is a self-organizing system?, What is it not?, Should there be a separate field of science for self-organizing systems?, and What are possible approaches to engineer a self-organizing control system?.

The presented ideas have been elaborated at the Lakeside Research Days’08 (University of Klagenfurt, Austria), a workshop that featured guided discussions between invited experts working in the field of self-organizing systems.

Keywords

Technical Application Local Rule Complex Technical System Aeroplane Wing Critical Turning Point 
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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References

  1. 1.
    Lee, E.A.: Cyber physical systems: Design challenges. Technical Report UCB/EECS-2008-8, EECS Department, University of California, Berkeley (January 2008)Google Scholar
  2. 2.
    von Foerster, H.: On self-organizing systems and their environments. In: Yovitts, M.C., Cameron, S. (eds.) Self-Organizing Systems, pp. 31–50. Pergamon Press, Oxford (1960)Google Scholar
  3. 3.
    von Foerster, H.: Principles of the self-organizing system. In: von Foerster, H., Zopf Jr., G.W. (eds.) Principles of Self-organization, pp. 255–278. Pergamon Press, Oxford (1962)Google Scholar
  4. 4.
    Lendaris, G.G.: On the definition of self-organizing systems. Proceedings of the IEEE 52(3), 324–325 (1964)CrossRefGoogle Scholar
  5. 5.
    Haken, H.: Information and Self-Organization – A Macroscopic Approach. Springer, Heidelberg (1988)CrossRefzbMATHGoogle Scholar
  6. 6.
    Gershenson, C., Heylighen, F.: When can we call a system self-organizing? In: Banzhaf, W., Ziegler, J., Christaller, T., Dittrich, P., Kim, J.T. (eds.) ECAL 2003. LNCS (LNAI), vol. 2801, pp. 606–614. Springer, Heidelberg (2003)CrossRefGoogle Scholar
  7. 7.
    Elmenreich, W.: Lakeside Research Days 2008. Technical report, Lakeside Labs, Klagenfurt, Austria (June-July 2008)Google Scholar
  8. 8.
    Bloom, S.L.: Chaos, complexity, self-organization and us. Psychotherapy Review 2(8) (August 2000)Google Scholar
  9. 9.
    Camazine, S., Deneubourg, J.-L., Franks, N.R., Sneyd, J., Theraulaz, G., Bonabeau, E.: Self-Organization in Biological Systems. Princeton University Press, Princeton (2001)zbMATHGoogle Scholar
  10. 10.
    Wikipedia, the free Encyclopedia. Evolution. Wikimedia Foundation (August 6, 2008)Google Scholar
  11. 11.
    McCarthy, J., Minsky, M.L., Rochester, N., Shannon, C.E.: A proposal for the dartmouth summer research project on artificial intelligence. Technical report, Dartmouth College (1955)Google Scholar
  12. 12.
    Prehofer, C., Bettstetter, C.: Self-organization in communication networks: Principles and design paradigms. IEEE Communications Magazine, 78–85 (July 2005)Google Scholar
  13. 13.
    Faye, R., Laprete, R., Winter, M.: Blended winglets. Aero, Boeing (17) (January 2002)Google Scholar
  14. 14.
    Gershenson, C.: Design and Control of Self-organizing Systems. PhD thesis, Vrije Universiteit Brussel (2007)Google Scholar
  15. 15.
    Auer, C., Wüchner, P., de Meer, H.: A Method to Derive Local Interaction Strategies for Improving Cooperation in Self-Organizing Systems. In: Proceedings of the Third International Workshop on Self-Organizing Systems, Vienna, Austria (December 2008)Google Scholar
  16. 16.
    Tucker, A.: A two-person dilemma. Stanford University Press (1950)Google Scholar
  17. 17.
    Shalizi, C.R., Shalizi, K.L.: Blind construction of optimal nonlinear recursive predictors for discrete sequences. In: Chickering, M., Halpern, J. (eds.) Uncertainty in Artificial Intelligence: Proceedings of the Twentieth Conference, pp. 504–511 (2004)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2008

Authors and Affiliations

  • Wilfried Elmenreich
    • 1
  • Hermann de Meer
    • 2
  1. 1.Lakeside Labs, Mobile Systems Group Institute of Networked and Embedded SystemsUniversity of KlagenfurtAustria
  2. 2.Faculty of Informatics and Mathematics Chair of Computer Networks and CommunicationsUniversity of PassauGermany

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