DocumentCode
288533
Title
Implementation and performance-scaling issues concerning the genetic programming of a cellular automata based artificial brain
Author
De Garis, Hugo
Author_Institution
Brain Builder Group, ATR Human Inf. Process. Res. Labs., Kyoto, Japan
Volume
3
fYear
1994
fDate
27 Jun-2 Jul 1994
Firstpage
1714
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;
fLanguage
English
Publisher
ieee
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
Type
conf
DOI
10.1109/ICNN.1994.374414
Filename
374414
Link To Document