• DocumentCode
    3484869
  • Title

    A simulation study of the simplest adaptive virtual animal learning model with classification and integration networks

  • Author

    Takeuchi, Johane ; Yamada, Hitoshi ; Ichikawa, Michinori

  • Author_Institution
    Lab. for Brain-Operative Devices, Riken BSI, Wako, Japan
  • Volume
    5
  • fYear
    2002
  • fDate
    18-22 Nov. 2002
  • Firstpage
    2571
  • Abstract
    This simulation study is that a synthetic organism explores a world where it has to learn to select foods while avoiding poisons for its survival. The small network model using logic neurons with the simple learning mechanism is constructed to archive die task. We think that this model expresses the mechanism of the part of large neurons in the brain.
  • Keywords
    artificial life; intelligent robots; learning (artificial intelligence); living systems; simulation; adaptive virtual animal learning model; artificial organism model; brain functions; classification network; deterministic series of actions; food selection; integration network; living small animals; poisons avoidance; simple learning mechanism; simulation study; synthetic organism; virtual two dimensional cage; Animals; Artificial neural networks; Biological neural networks; Biological system modeling; Brain modeling; Logic; Neurons; Organisms; Robot sensing systems; Toxicology;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Neural Information Processing, 2002. ICONIP '02. Proceedings of the 9th International Conference on
  • Print_ISBN
    981-04-7524-1
  • Type

    conf

  • DOI
    10.1109/ICONIP.2002.1201959
  • Filename
    1201959