• DocumentCode
    3088461
  • Title

    Network representation of the game of life and self-organized criticality

  • Author

    Kayama, Yasuyuki

  • Author_Institution
    Dept. of Media & Inf., BAIKA Women´s Univ., Ibaraki, Japan
  • fYear
    2013
  • fDate
    16-19 April 2013
  • Firstpage
    60
  • Lastpage
    66
  • Abstract
    Conway´s Game of Life is one of the most famous and frequently studied cellular automata. This paper introduces a network representation of the Game of Life and studies its relation to self-organized criticality. Self-organized criticality in the Game of Life is reconfirmed by studying power-law scaling for the distributions of avalanche scales: lifetimes, sizes, and out-degrees in a rest-state network. Avalanches are caused by one-cell perturbations of the rest state. Finite-size scaling analysis shows that avalanche lifetime and out-degree can be regarded as order parameters with characteristic lengths dependent on lattice size. The rest-state network of the Game of Life expresses a power-law degree distribution of out-links with a cut-off. Rule T52 of the one-dimensional binary five-neighbor totalistic cellular automata is also discussed in terms of the out-degrees of the rest-state network. Network representations of binary cellular automata can be used to assess their self-organized criticality.
  • Keywords
    cellular automata; network theory (graphs); self-organised criticality; Conway´s game of life; Rule T52; avalanche lifetime; avalanche out-degree; avalanche scale distribution; avalanche sizes; finite-size scaling analysis; lattice size; network representation; one-cell perturbations; one-dimensional binary five-neighbor totalistic cellular automata; order parameters; power-law degree distribution; power-law scaling; rest-state network; self-organized criticality; Automata; Correlation; Games; Lattices; Oscillators; System-on-chip; Visualization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Artificial Life (ALIFE), 2013 IEEE Symposium on
  • Conference_Location
    Singapore
  • ISSN
    2160-6374
  • Type

    conf

  • DOI
    10.1109/ALIFE.2013.6602432
  • Filename
    6602432