Title :
Implementation and performance-scaling issues concerning the genetic programming of a cellular automata based artificial brain
Author_Institution :
Brain Builder Group, ATR Human Inf. Process. Res. Labs., Kyoto, Japan
fDate :
27 Jun-2 Jul 1994
Abstract :
This paper discusses some implementation and performance scaling issues concerning the growth/evolution of a cellular automata based artificial brain, called CAM-Brain. The essential conclusion of this paper is that it will be possible to evolve an artificial brain containing a billion artificial neurons, by the year 2001, the final year of the CAM-Brain research project. CAM-Brain will offer a powerful new tool investigate the virgin field “incremental evolution”, i.e. “How is it possible to evolve a complex artificial brain in steps?”, alternatively, “How does one add neural modules to an already functional artificial nervous system, so that its functionality is increased?”
Keywords :
brain models; cellular automata; genetic algorithms; neural nets; CAM-Brain; artificial nervous system; cellular automata based artificial brain; genetic programming; performance-scaling; Artificial neural networks; Automatic control; Biological neural networks; CADCAM; Cities and towns; Computer aided manufacturing; Genetic programming; Integrated circuit interconnections; Neurons; Robotics and automation;
Conference_Titel :
Neural Networks, 1994. IEEE World Congress on Computational Intelligence., 1994 IEEE International Conference on
Conference_Location :
Orlando, FL
Print_ISBN :
0-7803-1901-X
DOI :
10.1109/ICNN.1994.374414