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Computing by Swarm Networks

  • Conference paper
Cellular Automata (ACRI 2008)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 5191))

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Abstract

Though the regular and fixed structure of cellular automata greatly contributes to their simplicity, it imposes a strict limitation on the applications that can be modeled by them. This paper proposes swarm networks, a model in which cells, unlike in cellular automata, have irregular neighborhoods. Timed asynchronously, a cell in this model acts like an agent that can dynamically interact with a varying set of other cells under the control of transition rules. The configurations in which cells are organized according to their neighborhoods can move around in space, following simple mechanical laws. We prove computational universality of this model by simulating a circuit consisting of asynchronously timed circuit modules. The proposed model may find applications in nanorobotic systems and artifical biological systems.

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Author information

Authors and Affiliations

  1. Division of Computer Engineering, University of Hyogo, Japan

    Teijiro Isokawa, Ferdinand Peper, Masahiko Mitsui, Naotake Kamiura & Nobuyuki Matsui

  2. Nano ICT Group, National Institute of Information and Communications Technology, Japan

    Ferdinand Peper

  3. Biological ICT Group, National Institute of Information and Communications Technology, Japan

    Jian-Qin Liu

  4. Dept. of Information Engineering, Hiroshima University, Japan

    Kenichi Morita

  5. Dept. of Computer Science, Osaka Electro-Communication University, Japan

    Hiroshi Umeo

Authors
  1. Teijiro Isokawa
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  2. Ferdinand Peper
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  3. Masahiko Mitsui
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  4. Jian-Qin Liu
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  5. Kenichi Morita
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  6. Hiroshi Umeo
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  7. Naotake Kamiura
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  8. Nobuyuki Matsui
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Editor information

Hiroshi Umeo Shin Morishita Katsuhiro Nishinari Toshihiko Komatsuzaki Stefania Bandini

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© 2008 Springer-Verlag Berlin Heidelberg

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Isokawa, T. et al. (2008). Computing by Swarm Networks. In: Umeo, H., Morishita, S., Nishinari, K., Komatsuzaki, T., Bandini, S. (eds) Cellular Automata. ACRI 2008. Lecture Notes in Computer Science, vol 5191. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-79992-4_7

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  • DOI: https://doi.org/10.1007/978-3-540-79992-4_7

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-79991-7

  • Online ISBN: 978-3-540-79992-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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