CAM-Brain: A New Model for ATR's Cellular Automata Based Artificial Brain Project
نویسندگان
چکیده
This paper introduces a new model for ATR's CAM-Brain Project, which is far more eecient and simpler than the older model. The CAM-Brain Project aims at building a billion neuron artiicial brain using \evolutionary engineering" technologies. Our neural structures are based on Cellular Automata (CA) and grow/evolve in special hardware such as MIT's \CAM-8" machine. With the CAM-8 and the new CAM-Brain model, it is possible to grow a neural structure with several million neurons in a 128 M cell CA-space, at a speed of 200 M cell-updates per second. The improvements in the new model are based on a new CA-implementation technique, on reducing the number of cell-behaviors to two, and on using genetic encoding of neural structures in which the chromosome is initially distributed homogeneously over the entire CA-space. This new CAM-Brain model allows the implementation of neural structures directly in parallel hardware, evolving at hardware speeds.
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