DocumentCode :
2324104
Title :
CAM-Brain: the genetic programming of an artificial brain which grows/evolves at electronic speeds in a cellular automata machine
Author :
De Garis, Hugo
Author_Institution :
Dept. of Evolutionary Syst., Kyoto Univ., Japan
fYear :
1994
fDate :
27-29 Jun 1994
Firstpage :
337
Abstract :
The paper reports on a project which aims to build (i.e. grow/evolve) an artificial brain by the year 2001. This artificial brain should initially contain thousands of interconnected artificial neural network modules, and be capable of controlling approximately 1000 “behaviors” in a “robot kitten”. The name given to this research project is “CAM-Brain”, because the neural networks (based on cellular automata) will be grown inside special hardware called cellular automata machines (CAMs). Using a family of CAMs, each with its own processor to measure the performance quality or fitness of the evolved neural circuits, will allow the neural modules and their interconnections to be grown/evolved at electronic speeds. State of the art in CAM design is about 10 to the power 9 or 10 cells. Since a neural module of about 15 connected neurons can fit inside a cube of 100 cells on a side (1 million cells), a CAM which is specially adapted for CAM-Brain could contain thousands of interconnected modules, i.e. an artificial brain
Keywords :
brain models; cellular automata; genetic algorithms; linear programming; neural nets; search problems; CAM-Brain; artificial brain; cellular automata machine; evolved neural circuits; genetic programming; interconnected artificial neural network modules; neural modules; performance quality; robot kitten; Artificial neural networks; Automatic control; Biological neural networks; CADCAM; Cams; Cellular neural networks; Computer aided manufacturing; Genetic programming; Integrated circuit interconnections; Neural networks;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Evolutionary Computation, 1994. IEEE World Congress on Computational Intelligence., Proceedings of the First IEEE Conference on
Conference_Location :
Orlando, FL
Print_ISBN :
0-7803-1899-4
Type :
conf
DOI :
10.1109/ICEC.1994.349929
Filename :
349929
Link To Document :
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