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A Note on Symmetry in Logic of Self-repair: The Case of a Self-repair Network

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Knowledge-Based and Intelligent Information and Engineering Systems (KES 2010)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 6278))

Abstract

A self-repair network consists of nodes capable of repairing other nodes where the repair success rate depends on the state (normal or abnormal) of the repairing node. This recursive structure leads to the ”double-edged sword” of repairing, which could cause outbreaks in case the repairing causes adverse effects. The self-repair network can be equated to a probabilistic cellular automaton. Because of the distinction between repair by normal nodes and that by abnormal nodes, transition probabilities as a probabilistic cellular automaton exhibit symmetry.

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Author information

Authors and Affiliations

  1. Department of Knowledge-Based Information Engineering, Toyohashi University of Technology, Tempaku, Toyohashi, 441-8580, Japan

    Yoshiteru Ishida

Authors
  1. Yoshiteru Ishida
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Editor information

Editors and Affiliations

  1. School of Engineering, Cardiff University, The Parade, CF24 3AA, Cardiff, UK

    Rossitza Setchi

  2. Dept. of Computer Science and Software Engineering, University of Portsmouth, BUckingham Building, Lion Terrace, PO1 3HE, Portsmouth, UK

    Ivan Jordanov

  3. KES International, 145-157 St. John Street, EC1V 4PY, London, UK

    Robert J. Howlett

  4. School of Electrical and Information Engineering, University of South Australia, Adelaide, Mawson Lakes Campus, 5095, SA, Australia

    Lakhmi C. Jain

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Ishida, Y. (2010). A Note on Symmetry in Logic of Self-repair: The Case of a Self-repair Network. In: Setchi, R., Jordanov, I., Howlett, R.J., Jain, L.C. (eds) Knowledge-Based and Intelligent Information and Engineering Systems. KES 2010. Lecture Notes in Computer Science(), vol 6278. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-15393-8_73

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  • DOI: https://doi.org/10.1007/978-3-642-15393-8_73

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-15392-1

  • Online ISBN: 978-3-642-15393-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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