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.
Similar content being viewed by others
References
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.
de Garis, H., “Genetic Programming”, Neural and Intelligent Systems Integration, ed. Soucek B., WILEY, 1991.
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.
de Garis, H., “Genetic Programming: GenNets, Artificial Nervous Systems, Artificial Embryos”, WILEY manuscript.
Codd, E.F., “Cellular Automata”, Academic Press, 1968.
Goldberg, D.E., “Genetic Algorithms in Search, Optimization, and Machine Learning”, Addison-Wesley, 1989.
Toffoli, T. & Margolus, N., “Cellular Automata Machines”, MIT Press, 1987.
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.
Drexler, K.E., “Nanosystems: Molecular Machinery, Manufacturing and Computation”, Wiley, 1992.
Author information
Authors and Affiliations
Corresponding author
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
Issue Date:
DOI: https://doi.org/10.1007/BF03037343
Keywords
- CAM-Brain
- Cellular Automata (CAs)
- Cellular Automata Machines (CAMs)
- Artificial Brains
- Neurite Networks
- Genetic Programming (GP)
- Genetic Algorithms (GAs)
- GenNets (Genetically Programmed Neural Network Modules)
- CA Networks
- Artificial Nervous Systems
- Incremental GP
- Biots (Biological Robots)
- Darwinian Robotics
- 1000-GenNet Biots
- GenNet Accelerators
- GenNet Shaping
- CA Neurons
- Darwin Machines
- Nanotechnology
- NanoCAM-Brain