Skip to main content
Log in

An artificial brain ATR's CAM-Brain Project aims to build/evolve an artificial brain with a million neural net modules inside a trillion cell Cellular Automata Machine

  • Project Report
  • Published:
New Generation Computing Aims and scope Submit manuscript

Abstract

ATR's Evolutionary Systems Department aims to build (i.e. grow/evolve) an artificial brain by the year 2001. This artificial brain should initially contain thousands of interconnected artificial neural network modules, and be capable of controlling approximately 1000 “behaviors” in a “robot kitten”. The name given to this research project is “CAM-Brain”, because the neural networks (based on cellular automata) will be grown inside special hardware called Cellular Automata Machines (CAMs). Using a family of CAMs, each with its own processor to measure the performance quality or fitness of the evolved neural circuits, will allow the neural modules and their interconnections to be grown/evolved at electronic speeds. State of the art in CAM design is about 10 to the power 9 or 10 cells. Since a neural module of about 15 connected neurons can fit inside a cube of 100 cells on a side (1 million cells), a CAM which is specially adapted for CAM-Brain could contain thousands of interconnected modules, i.e. an artificial brain.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Similar content being viewed by others

References

  1. de Garis, H., “Genetic Programming: Modular Evolution for Darwin Machines”, IJCNN-90-WASH-DC, (Int. Joint Conf. on Neural Networks), January 1990, Washington DC, USA.

  2. de Garis, H., “Genetic Programming”, Neural and Intelligent Systems Integration, ed. Soucek B., WILEY, 1991.

  3. de Garis, H., “Artificial Embryology: The Genetic Programming of an Artificial Embryo”, Dynamic, Genetic, and Chaotic Programming, Soucek B. and the IRIS Group eds., WILEY, 1992.

  4. de Garis, H., “Genetic Programming: GenNets, Artificial Nervous Systems, Artificial Embryos”, WILEY manuscript.

  5. Codd, E.F., “Cellular Automata”, Academic Press, 1968.

  6. Goldberg, D.E., “Genetic Algorithms in Search, Optimization, and Machine Learning”, Addison-Wesley, 1989.

  7. Toffoli, T. & Margolus, N., “Cellular Automata Machines”, MIT Press, 1987.

  8. de Garis, H., “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, 1993.

  9. Drexler, K.E., “Nanosystems: Molecular Machinery, Manufacturing and Computation”, Wiley, 1992.

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Hugo de Garis.

Additional information

Dr. Hugo de Garis: He is an invited researcher of the Evolutionary Systems Department at ATR Human Information Processing Research Laboratories in Kyoto. He obtained his Ph. D. in the filed of Genetic Programming (i.e. using evolutionary algorithms to build complex systems) from Brussels University, Belgium in January 1992, and was an STA postdoctoral fellow at the Electrotechnical Lab (ETL) in Tsukuba in 1992. He is now trying to grow/evolve an artificial brain inside a cellular automata machine.

About this article

Cite this article

de Garis, H. An artificial brain ATR's CAM-Brain Project aims to build/evolve an artificial brain with a million neural net modules inside a trillion cell Cellular Automata Machine. New Gener Comput 12, 215–221 (1994). https://doi.org/10.1007/BF03037343

Download citation

  • Issue Date:

  • DOI: https://doi.org/10.1007/BF03037343

Keywords

Navigation