Evolving cellular automata by 1/f noise

  • Authors:
  • Shigeru Ninagawa

  • Affiliations:
  • Division of Information and Computer Science, Kanazawa Institute of Technology, Ishikawa, Japan

  • Venue:
  • ECAL'05 Proceedings of the 8th European conference on Advances in Artificial Life
  • Year:
  • 2005

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Abstract

It is speculated that there is a relationship between 1/f noise and computational universality in two-dimensional cellular automata. We use genetic algorithms to find two-dimensional cellular automata which have 1/f spectrum. Spectrum is calculated from the evolution of the state of cell from a random initial configuration. The fitness function is constructed in consideration of the spectral similarity to 1/f spectrum. The result shows that the rule with the third highest fitness in the experiment has 1/f spectrum and it behaves like the Game of Life, although two rules with the highest and the second highest fitness do not have 1/f spectrum.