Million module neural systems evolution

The next step in ATR's billion neuron artificial brain (“CAM-Brain”) project
  • Hugo de Garis
  • Lishan Kang
  • Qiming He
  • Zhengjun Pan
  • Masahiro Ootani
  • Edmund Ronald
Evolvable Hardware and Robotics
Part of the Lecture Notes in Computer Science book series (LNCS, volume 1363)


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.


Million Neural Net Module Artificial Brains Hardware (EHW, E-Hard) Engineering, Artificial Brain Architectures CAM-Brain Machine (CBM) Kitten Robot (Robokoneko) Cellular Automata Neural Networks Genetic Algorithm “J-Brain Project” 


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    “Genetic Programming: Building Artificial Nervous Systems Using Genetically Programmed Neural Network Modules”, Hugo de Garis, in Porter B.W. & Mooney R.J. ed., Proc. 7th. Int. Conf. on Machine Learning, pp 132-139, Morgan Kaufmann, 1990.Google Scholar
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Copyright information

© Springer-Verlag Berlin Heidelberg 1998

Authors and Affiliations

  • Hugo de Garis
    • 1
  • Lishan Kang
    • 2
  • Qiming He
    • 2
  • Zhengjun Pan
    • 2
  • Masahiro Ootani
    • 3
  • Edmund Ronald
    • 4
  1. 1.ATR Human Information Processing Research LaboratoriesKansai Science City, Kyoto-fuJapan
  2. 2.Key State Laboratory of Software EngineeringWuhan UniversityWuhanPRC
  3. 3.Electrical and Electronic Engineering DepartmentToyohashi University of TechnologyToyohashi-shi, Aichi-kenJapan
  4. 4.Centre de Mathematiques Appliquees Ecole PolytechniquePalaiseauFrance

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