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Dynamics of Networks Evolved for Cellular Automata Computation

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Hybrid Artificial Intelligent Systems (HAIS 2012)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 7209))

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Abstract

Cellular Automata (CAs) represent useful and important tools in the study of complex systems and interactions. The problem of finding CA rules able to generate a desired global behavior is considered of great importance and highly challenging. Evolutionary computing offers promising models for addressing this inverse problem of global to local mapping. A related approach less investigated refers to finding robust network topologies that can be used in connection with a simple fixed rule in CA computation. The focus of this study is the evolution and dynamics of small-world networks for the density classification task in CAs. The best evolved networks are analyzed in terms of their tolerance to dynamic network changes. Results indicate a good performance and robustness of the obtained small-world networks for CA density problem.

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Author information

Authors and Affiliations

  1. Department of Computer Science, Babes-Bolyai University, 1 Kogalniceanu, Cluj-Napoca, 400084, Romania

    Anca Gog & Camelia Chira

Authors
  1. Anca Gog
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  2. Camelia Chira
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Editor information

Editors and Affiliations

  1. Universidad de Salamanca, Plaza de la Merced S/N, 37008, Salamanca, Spain

    Emilio Corchado

  2. VŠB-TU Ostrava 17, Listopadu 15, 70833, Ostrava, Czech Republic

    Václav Snášel

  3. Machine Intelligence Research Labs Machine Intelligence Research Labs(MIR Labs),, Scientific Network for Innovation and Research Excellence, P.O. Box 2259, 98071, Auburn, Washington, USA

    Ajith Abraham

  4. Wroclaw University of Technology, Wybrzeze Wyspianskiego 27, 50-370, Wroclaw, Poland

    Michał Woźniak

  5. University of the Basque Country, Pº Manuel Lardizabal 1, 20018, San Sebastian, Spain

    Manuel Graña

  6. Yonsei University, 134 Shinchon-dong, 120-749, Sudaemoon-ku, Seoul, Korea

    Sung-Bae Cho

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© 2012 Springer-Verlag Berlin Heidelberg

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Gog, A., Chira, C. (2012). Dynamics of Networks Evolved for Cellular Automata Computation. In: Corchado, E., Snášel, V., Abraham, A., Woźniak, M., Graña, M., Cho, SB. (eds) Hybrid Artificial Intelligent Systems. HAIS 2012. Lecture Notes in Computer Science(), vol 7209. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-28931-6_35

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  • DOI: https://doi.org/10.1007/978-3-642-28931-6_35

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-28930-9

  • Online ISBN: 978-3-642-28931-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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