• DocumentCode
    288533
  • Title

    Implementation and performance-scaling issues concerning the genetic programming of a cellular automata based artificial brain

  • Author

    De Garis, Hugo

  • Author_Institution
    Brain Builder Group, ATR Human Inf. Process. Res. Labs., Kyoto, Japan
  • Volume
    3
  • fYear
    1994
  • fDate
    27 Jun-2 Jul 1994
  • Firstpage
    1714
  • Abstract
    This paper discusses some implementation and performance scaling issues concerning the growth/evolution of a cellular automata based artificial brain, called CAM-Brain. The essential conclusion of this paper is that it will be possible to evolve an artificial brain containing a billion artificial neurons, by the year 2001, the final year of the CAM-Brain research project. CAM-Brain will offer a powerful new tool investigate the virgin field “incremental evolution”, i.e. “How is it possible to evolve a complex artificial brain in steps?”, alternatively, “How does one add neural modules to an already functional artificial nervous system, so that its functionality is increased?”
  • Keywords
    brain models; cellular automata; genetic algorithms; neural nets; CAM-Brain; artificial nervous system; cellular automata based artificial brain; genetic programming; performance-scaling; Artificial neural networks; Automatic control; Biological neural networks; CADCAM; Cities and towns; Computer aided manufacturing; Genetic programming; Integrated circuit interconnections; Neurons; Robotics and automation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Neural Networks, 1994. IEEE World Congress on Computational Intelligence., 1994 IEEE International Conference on
  • Conference_Location
    Orlando, FL
  • Print_ISBN
    0-7803-1901-X
  • Type

    conf

  • DOI
    10.1109/ICNN.1994.374414
  • Filename
    374414