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CAM-Brain the evolutionary engineering of a billion neuron artificial brain by 2001 which grows/evolves at electronic speeds inside a cellular automata machine (CAM)

  • Hugo de Garis
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 1062)

Abstract

This chapter describes an ambitious 8 year research project which aims to implement a cellular automata based artificial brain with a billion neurons by 2001, which grows/evolves at (nano-)electronic speeds inside a Cellular Automata Machine — ATR's so-called ”CAM-Brain Project”. The states of the cellular automata (CA) cells and the CA state transition rules can be stored cheaply in gigabytes of RAM. By using state of the art cellular automata machines, e.g. MIT's ”CAM8” machine ($40,000, which can update 200 million CA cells a second) it will be technically feasible by early 1996 to evolve artificial nervous systems containing a hundred thousand neurons, and within a few years, a million neurons. By the end of the current research project, i.e. 2001, it should be possible using nano-scale electronics to grow/evolve artificial brains containing a billion neurons and upwards. This is our aim.

Keywords

Cellular Automaton Artificial Neuron Neural Module Electronic Speed State Transition Rule 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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References

  1. 1.
    Abramovici M. and Stroud C.: ”No-overhead BIST for FPGAs”, in Proc. 1st IEEE International On-Line Testing Workshop, July 1995, pp. 90–92.Google Scholar
  2. 2.
    E.F. Codd: “Cellular Automata, Academic Press”, NY, 1968.Google Scholar
  3. 3.
    Hugo de Garis: ”Genetic Programming: Modular Evolution for Darwin Machines”, ICNN-90WASH-DC, (Int. Joint Conf. on Neural Networks), January 1990, Washington DC, USA.Google Scholar
  4. 4.
    Hugo de Garis: ”Genetic Programming”, Ch.8 in book Neural and Intelligent Systems Integration, ed. Branko Soucek, Wiley, NY, 1991.Google Scholar
  5. 5.
    Hugo de Garis: ”Artificial Embryology: The Genetic Programming of an Artificial Embryo”, Ch.14 in book Dynamic, Genetic, and Chaotic Programming, ed. Branko Soucek and the IRIS Group, Wiley, NY, 1992.Google Scholar
  6. 6.
    Hugo de Garis: ” Evolvable Hardware: Genetic Programming of a Darwin Machine”, in Artificial Neural Nets and Genetic Algorithms, R.F. Albrecht, C.R. Reeves, N.C. Steele (eds.), Springer Verlag, NY, 1993.Google Scholar
  7. 7.
    Hugo de Garis: ”Cosmism: Nano Electronics and 21st Century Global Ideological Warfare”, (to appear in a future nanotech book).Google Scholar
  8. 8.
    K.E. Drexler: “Nanosystems: Molecular Machinery, Manufacturing and Computation”, Wiley, NY, 1992.Google Scholar
  9. 9.
    D.E. Goldberg: “Genetic Algorithms in Search, Optimization, and Machine Learning”, Addison-Wesley, Reading, MA, 1989.Google Scholar
  10. 10.
    T. Toffoli & N. Margolus: “Cellular Automata Machines”, MIT Press, Cambridge, MA, 1987; and Cellular Automata Machines, in Lattice Gas Methods for Partial Differential Equations, SFISISOC, eds. Doolen et al, Addison-Wesley, 1990.Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 1996

Authors and Affiliations

  • Hugo de Garis
    • 1
  1. 1.Evolutionary Systems Department ATR Human Information Processing Research LaboratoriesBrain Builder GroupKansai Science City, KyotoJapan

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