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This paper presents some simplifications to our recently introduced “CoDi-model”, which we use to evolve Cellular Automata based neural network modules for ATR's artificial brain project “CAM-Brain” [11]. The great advantage of CAs as a modeling medium, is their parallelism, which permits neural system simulation hardware based on CoDi to be scaled up without loss of speed. Simulation speed is crucial...
This paper introduces a new model for ATR's CAM-Brain Project, which is far more efficient and simpler than the older model. The CAM-Brain Project aims at building a billion neuron artificial 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...
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