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Self-Repair Networks and the Self-Recognition Model

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Self-Repair Networks

Part of the book series: Intelligent Systems Reference Library ((ISRL,volume 101))

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Abstract

We have studied a self-repair network by mutual copying. This chapter further considers a model that involves mutual recognition among nodes before repairing. Although the repairing with recognition outperforms the repairing without recognition, in some cases recognition hampers cleaning. It is shown that there is an optimum frequency of mutual recognition for the best cleaning of the network. The interplay between recognition error and repair error is also discussed.

Some results of this chapter are presented in Ishida and Sugawara (2006).

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References

  • Bagnoli, F., Boccara, N., Palmerini, P.: Phase transitions in a probabilistic cellular automaton with two absorbing states. http://www.arXiv.org.cond-mat/9705171 (1997)

  • Barabási, A.-L., Frangos, J.: Linked: The New Science of Networks Science of Networks. Basic Books, New York (2002)

    Google Scholar 

  • Domany, E., Kinzel, W.: Equivalence of cellular automata to Ising models and directed percolation. Phys. Rev. Lett. 53(4), 311–314 (1984)

    Article  MathSciNet  MATH  Google Scholar 

  • Flower, D.D.R, Timmis, J. (eds.): Silico Immunology. Springer, New York (2007)

    Google Scholar 

  • Gacs, P.: Reliable cellular automata with self-organization. J. Stat. Phys. 103(1–2), 45–267 (2001). doi:10.1023/A:1004823720305

    Article  MathSciNet  MATH  Google Scholar 

  • Ishida, Y.: Immunity-Based Systems: A Design Perspective. Springer, New York (2004)

    Book  Google Scholar 

  • Ishida, Y.: A critical phenomenon in a self-repair network by mutual copying. In: Knowledge-Based Intelligent Information and Engineering Systems, pp. 86-92. Springer, New York (2005)

    Google Scholar 

  • Ishida, Y., Sugawara, Y.: Recovering the network through mutual recognition and copying. In: International Symposium on Artificial Life and Robotics (AROB’06) (2006)

    Google Scholar 

  • Langman, R.E., Cohn, M. (eds.): Seminars in Immunology. http://www.idealibrary.com (2000)

  • Maturana, H.R., Varela, F.J.: Autopoiesis and Cognition—The Realization of the Living, ser. Boston Studies on the Philosophy of Science. Reidel Publishing Company, Dordrecht, Holland (1980)

    Google Scholar 

  • Vichniac, G., Tamayo, P., Hartman, H.: Annealed and quenched inhomogeneous cellular automata (INCA). J. Stat. Phys. 45(5–6), 875–883 (1986)

    Article  MathSciNet  Google Scholar 

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Correspondence to Yoshiteru Ishida .

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Ishida, Y. (2015). Self-Repair Networks and the Self-Recognition Model. In: Self-Repair Networks. Intelligent Systems Reference Library, vol 101. Springer, Cham. https://doi.org/10.1007/978-3-319-26447-9_11

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  • DOI: https://doi.org/10.1007/978-3-319-26447-9_11

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-26445-5

  • Online ISBN: 978-3-319-26447-9

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