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CAM-Brain: A new model for atr's cellular automata based artificial brain project

  • Evolvable Hardware
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Evolvable Systems: From Biology to Hardware (ICES 1996)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 1259))

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Abstract

This paper introduces a new model for ATR's CAM-Brain Project, which is far more efficient and simpler than the older model. The CAM-Brain Project aims at building a billion neuron artificial brain using “evolutionary engineering” technologies. Our neural structures are based on Cellular Automata (CA) and grow/evolve in special hardware such as MIT's “CAM-8” machine. With the CAM-8 and the new CAM-Brain model, it is possible to grow a neural structure with several million neurons in a 128 M cell CA-space, at a speed of 200 M cell-updates per second. The improvements in the new model are based on a new CA-implementation technique, on reducing the number of cell-behaviors to two, and on using genetic encoding of neural structures in which the chromosome is initially distributed homogeneously over the entire CA-space. This new CAM-Brain model allows the implementation of neural structures directly in parallel hardware, evolving at hardware speeds.

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Author information

Authors and Affiliations

  1. Human Information Processing Laboratories, ATR, 2-2 Hikari-dai, Seika-cho, Soraku-gun, 619-02, Kyoto, Japan

    Felix Gers & Hugo de Garis

Authors
  1. Felix Gers
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  2. Hugo de Garis
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Editor information

Tetsuya Higuchi Masaya Iwata Weixin Liu

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© 1997 Springer-Verlag Berlin Heidelberg

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Gers, F., de Garis, H. (1997). CAM-Brain: A new model for atr's cellular automata based artificial brain project. In: Higuchi, T., Iwata, M., Liu, W. (eds) Evolvable Systems: From Biology to Hardware. ICES 1996. Lecture Notes in Computer Science, vol 1259. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-63173-9_64

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  • DOI: https://doi.org/10.1007/3-540-63173-9_64

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-63173-6

  • Online ISBN: 978-3-540-69204-1

  • eBook Packages: Springer Book Archive

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