Paper Info
Title
Million Module Neural Systems Evolution - The Next Step in ATR's Billion Neuron Artificial Brain (``CAM-Brain'') Project
Abstract
This position paper discusses the evolution of multi-module neural net systems, where the number of neural net modules is up to ten million (i.e, an "artificial brain"). ATR's "CAM-Brain" Project [de Garis 1993, 1996] has progressed to the point where it is technically possible (using a new FPGA (Field Programmable Gate Array) based evolvable hardware (EHW or E-Hard) system to be completed by the spring of 1998 [Korkin & de Garis 1997]) to begin to evolve and build an artificial brain containing 10,000 neural net modules. This development raises the prospect that within a few years these numbers will rapidly increase. This paper introduces Some issues that such massive system-building will generate. The immediate question is "What should we evolve?" This paper presents some suggested evolvable system targets containing N neural net modules, where N = 100; 1000; 10,000; 100,000; 1,000,000; 10,000,000 with an emphasis on the N = 100 case, for purposes of illustration. The issues involved are not only of a conceptual and evolutionary engineering nature, but (when N is large) economic, managerial and even political as well.
Year
Venue
Keywords
1997
Artificial Evolution
million module neural systems,next step,billion neuron artificial brain
Field
DocType
Volume
Artificial brain,Computer science,Field-programmable gate array,Evolvable hardware,Neural system,Human Brain Project,Artificial intelligence,Artificial neural network
Conference
1363
ISSN
ISBN
Citations 
0302-9743
3-540-64169-6
2
PageRank 
References 
Authors
1.46
2
6
Name
Order
Citations
PageRank
Hugo de Garis1460103.58
Lishan Kang277591.11
Qi-Ming He323034.21
Zhengjun Pan4497.54
Masahiro Ootani521.46
Edmund M. A. Ronald617329.28