DocumentCode
3068978
Title
CAM-BRAIN The evolutionary engineering of a billion neuron artificial brain by 2001 which grows/evolves at electronic speeds inside a cellular automata machine (CAM)
Author
De Garis, Hugo
Author_Institution
ATR Human Inf. Process. Res. Labs., Kyoto, Japan
fYear
1995
fDate
20-23 Sep 1995
Firstpage
62
Lastpage
69
Abstract
This paper reports on the second year of an ambitious 8 year research project which aims to implement a cellular automata based artificial brain with a billion neurons by 2001, which grows/evolves at (nano-)electronic speeds inside a Cellular Automata Machine-ATR´s so-called “CAM-Brain Project”. The basic idea is to use cellular automata based neural networks which grow under evolutionary control at (nano-)electronic speeds. The states of the cellular automata (CA) cells and the CA state transition rules can be stored cheaply in gigabytes of RAM. By using state of the art cellular automata machines, e.g. MIT´s “CAM8” machine ($40000), which can update 200 million CA cells a second, it may be technically feasible within a year or so to evolve artificial nervous systems containing a hundred thousand neurons, and within 5 years, a million neurons. By the end of the current research project, i.e. 2001, it should be possible using nanoscale electronics to grow/evolve artificial brains containing a billion neurons and upwards. This is the author´s aim
Keywords
cellular automata; genetic algorithms; neural nets; CAM-BRAIN; artificial brains; cellular automata based neural networks; cellular automata machine; evolutionary control; Artificial neural networks; Biological neural networks; Brain modeling; CADCAM; Computer aided manufacturing; Genetic algorithms; Humans; Information processing; Laboratories; Neurons;
fLanguage
English
Publisher
ieee
Conference_Titel
Neuroinformatics and Neurocomputers, 1995., Second International Symposium on
Conference_Location
Rostov on Don
Print_ISBN
0-7803-2512-5
Type
conf
DOI
10.1109/ISNINC.1995.480837
Filename
480837
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