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“CAM-Brain∝ ATR's billion neuron artificial brain project a three year progress report

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Fuzzy Logic, Neural Networks, and Evolutionary Computation (WWW 1995)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 1152))

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Abstract

This work reports on progress made in the first 3 years of ATR's “CAM-Brain” Project, which aims to use “evolutionary engineering” techniques to build/grow/evolve a RAM-and-cellular-automata based artificial brain consisting of thousands of interconnected neural network modules inside special hardware such as MIT's Cellular Automata Machine “CAM-8”, or NTT's Content Addressable Memory System “CAM-System”. The states of a billion (later a trillion) 3D cellular automata cells, and millions of cellular automata rules which govern their state changes, can be stored relatively cheaply in giga(tera)bytes of RAM. After 3 years work, the CA rules are almost ready. MIT's “CAM-8” (essentially a serial device) can update 200 million CA cells a second. It is likely that NTT's “CAM-System” (essentially a massively parallel device) will be able to update a hundred billion CA cells a second. Hence all the ingredients will soon be ready to create a revolutionary new technology which will allow thousands of evolved neural network modules to be assembled into artificial brains. This in turn will probably create not only a new research field, but hopefully a whole new industry, namely “brain building”. Building artificial brains with a billion neurons is the aim of ATR's 8 year “CAM-Brain” research project, ending in 2001.

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References

  1. E.F. Codd, Cellular Automata, Academic Press, NY, 1968.

    Google Scholar 

  2. 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 

  3. Hugo de Garis, “Genetic Programming”, Ch.8 in book Neural and Intelligent Systems Integration, ed. Branko Soucek, Wiley, NY, 1991.

    Google Scholar 

  4. 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 

  5. 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 

  6. Hugo de Garis, “Genetic Programming: Evolutionary Approaches to Multistrategy Learning”, Ch.21 in book “Machine Learning: A Multistrategy Approach, Vol.4”, R.S. Michalski & G. Tecuci (eds), Morgan Kauffman, 1994.

    Google Scholar 

  7. Hugo de Garis, “Cosmism: Nano Electronics and 21st Century Global Ideological Warfare”, (to appear in a future nanotech book).

    Google Scholar 

  8. K.E. Drexler, Nanosystems: Molecular Machinery, Manufacturing and Computation, Wiley, NY, 1992

    Google Scholar 

  9. D.E. Goldberg, Genetic Algorithms in Search, Optimization, and Machine Learning, Addison-Wesley, Reading, MA, 1989.

    Google Scholar 

  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.

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Takeshi Furuhashi Yoshiki Uchikawa

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© 1996 Springer-Verlag Berlin Heidelberg

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de Garis, H. (1996). “CAM-Brain∝ ATR's billion neuron artificial brain project a three year progress report. In: Furuhashi, T., Uchikawa, Y. (eds) Fuzzy Logic, Neural Networks, and Evolutionary Computation. WWW 1995. Lecture Notes in Computer Science, vol 1152. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-61988-7_24

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  • DOI: https://doi.org/10.1007/3-540-61988-7_24

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-61988-8

  • Online ISBN: 978-3-540-49581-9

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