Wuhan University Journal of Natural Sciences

, Volume 1, Issue 3–4, pp 579–592 | Cite as

“CAM-Brain” ATR's artificial brain project

A progress report
  • Hugo de Garis
Part II. Invited Lectures and Contributed Lectures 5. Evolutionary Computations and Neural Networks


This paper 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 200,000,000 CA cells a second. It is possible that NTT's “CAM-System” (essentially a massively parallel device) may be able to update a trillion 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.


Artificial Brains Evolutionary Engineering Neural Networks Genetic Algorithms Cellular Automata Cellular Automata Machines (CAMs) Nano-Electronics Darwin machines 


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Copyright information

© Springer 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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