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Organic Computing: Quo vadis?

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Organic Computing — A Paradigm Shift for Complex Systems

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

Abstract

Over and above the many results of the single projects, the intensive discussions during the colloquia and mini workshops of the SPP have revealed a multitude of commonalities, insights and lessons learnt. In this concluding chapter we want to discuss these findings and point towards possible future research questions in the context of Organic Computing.

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References

  1. Beer, S.: Diagnosing the System for Organizations. Managerial Cybernetics of Organization. Wiley, Hoboken (1994)

    Google Scholar 

  2. Cakar, E., Hähner, J., Müller-Schloer, C.: Creating collaboration patterns in multi-agent systems with generic observer/controller architectures. In: Manzalini, A. (ed.) Proceedings of the 2nd International Conference on Autonomic Computing and Communication Systems, Autonomics 2008, September 23–25, Turin, Italy, p. 6 (2008)

    Google Scholar 

  3. Esau, N., Kleinjohann, L., Kleinjohann, B.: An adaptable fuzzy emotion model for emotion recognition. In: Montseny, E., Sobrevilla, P. (eds.) Proceedings of the Joint 4th Conference of the European Society for Fuzzy Logic and Technology and the 11th Rencontres Francophones sur la Logique Floue et ses Applications, Barcelona, Spain, September 7–9, 2005, pp. 73–78. Universidad Polytecnica de Catalunya, Catalonia (2005)

    Google Scholar 

  4. Fisch, D., Jänicke, M., Sick, B., Müller-Schloer, C.: Quantitative emergence – A refined approach based on divergence measures. In: Proc. SASO 2010, Budapest, Sept. 2010, pp. 94–103 (2010)

    Google Scholar 

  5. Güdemann, M., Nafz, F., Ortmeier, F., Seebach, H., Reif, W.: A specification and construction paradigm for organic computing systems. In: Second IEEE International Conference on Self-Adaptive and Self-Organizing Systems, 2008. SASO ’08, pp. 233–242 (2008)

    Chapter  Google Scholar 

  6. Kephart, J.O., Chess, D.M.: The vision of Autonomic Computing. IEEE Comput. 36(1), 41–50 (2003)

    Google Scholar 

  7. Koestler, A.: Die Wurzeln des Zufalls. Scherz Verlag, München (1984). ISBN 3502153868

    Google Scholar 

  8. Mnif, M., Müller-Schloer, C.: Quantitative emergence. In: Proc. 2006 IEEE Mountain Workshop on Adaptive and Learning Systems (SMCals 2006), pp. 78–84. IEEE Press, New York (2006)

    Chapter  Google Scholar 

  9. Müller-Schloer, C., Schmeck, H.: Organic computing: A grand challenge for mastering complex systems. Inf. Technol. 52(3), 135–141 (2010)

    Google Scholar 

  10. Prothmann, H., Branke, J., Schmeck, H., Tomforde, S., Rochner, F., Hähner, J., Müller-Schloer, C.: Organic traffic light control for urban road networks. Int. J. Auton. Adapt. Commun. Syst. 2(3), 203–225 (2009)

    Article  Google Scholar 

  11. Silva, P., Lima, P.U.: Institutional robotics. In: Proceedings of the 9th European Conference on Advances in Artificial Life. ECAL’07, pp. 595–604. Springer, Berlin (2007)

    Google Scholar 

  12. Tomforde, S., Prothmann, H., Branke, J., Hähner, J., Müller-Schloer, C., Schmeck, H.: Possibilities and limitations of decentralised traffic control systems. In: WCCI 2010 IEEE World Congress on Computational Intelligence, pp. 3298–3306. IEEE Press, New York (2010)

    Google Scholar 

  13. Vogel, T., Giese, H.: Adaptation and abstract runtime models. In: Proceedings of the 5th Workshop on Software Engineering for Adaptive and Self-Managing Systems (SEAMS 2010) at the 32nd IEEE/ACM International Conference on Software Engineering (ICSE 2010), Cape Town, South Africa, pp. 39–48. ACM, New York (2010)

    Chapter  Google Scholar 

  14. Webster, F.: Traffic Signal Settings - Technical Paper No 39. Road Research Laboratory, London, UK (1959)

    Google Scholar 

  15. Wooldridge, M.J.: An Introduction to Multiagent Systems, 2nd edn. Wiley, Hoboken (2009)

    Google Scholar 

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Author information

Authors and Affiliations

  1. Institute of Systems Engineering, System and Computer Architecture, Leibniz Universität Hannover, Appelstr. 4, 30167, Hannover, Germany

    Christian Müller-Schloer

  2. Institute AIFB, Karlsruhe Institute of Technology (KIT), Kaiserstr. 89, 76128, Karlsruhe, Germany

    Hartmut Schmeck

Authors
  1. Christian Müller-Schloer
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  2. Hartmut Schmeck
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Corresponding author

Correspondence to Christian Müller-Schloer .

Editor information

Editors and Affiliations

  1. , Institute for Systems Engineering, Leibniz Universität Hannover, Appelstr. 4, Hannover, 30167, Germany

    Christian Müller-Schloer

  2. , Institute AIFB, Karlsruhe Institute of Technology, Kaiserstr. 89, Karlsruhe, 76133, Germany

    Hartmut Schmeck

  3. , Department of Computer Science, Universität Augsburg, Universitätsstr. 6a, Augsburg, 86159, Germany

    Theo Ungerer

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Müller-Schloer, C., Schmeck, H. (2011). Organic Computing: Quo vadis?. In: Müller-Schloer, C., Schmeck, H., Ungerer, T. (eds) Organic Computing — A Paradigm Shift for Complex Systems. Autonomic Systems, vol 1. Springer, Basel. https://doi.org/10.1007/978-3-0348-0130-0_49

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  • DOI: https://doi.org/10.1007/978-3-0348-0130-0_49

  • Publisher Name: Springer, Basel

  • Print ISBN: 978-3-0348-0129-4

  • Online ISBN: 978-3-0348-0130-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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