• DocumentCode
    1660420
  • Title

    Neural network approaches to cognitive mapping

  • Author

    Jefferies, Margaret E. ; Yeap, Wai-Kiang

  • Author_Institution
    Artificial Intelligence Lab., Otago Univ., Dunedin, New Zealand
  • fYear
    1995
  • Firstpage
    75
  • Lastpage
    78
  • Abstract
    There are many different approaches to cognitive mapping, arising mostly from the different philosophical backgrounds of the researchers involved. Our own research into the problem of how best to build a representation for one´s experience of one´s spatial environment is motivated by the need to understand how the human mind works. Neural network approaches to cognitive mapping are as varied as their non-neural network counterparts and range from models which use the network to model the physiology of the brain to models which are merely an abstraction of some aspect of cognitive mapping behaviour. We review four neural network approaches to cognitive mapping with the view to determining what insights they can bring to the cognitive mapping process
  • Keywords
    brain models; cognitive systems; knowledge representation; neural nets; neurophysiology; brain physiology modelling; cognitive mapping; human mind; knowledge representation; neural network approaches; spatial environment; Animals; Artificial intelligence; Biological neural networks; Brain modeling; Cognitive robotics; Humans; Navigation; Neural networks; Psychology; Solid modeling;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Artificial Neural Networks and Expert Systems, 1995. Proceedings., Second New Zealand International Two-Stream Conference on
  • Conference_Location
    Dunedin
  • Print_ISBN
    0-8186-7174-2
  • Type

    conf

  • DOI
    10.1109/ANNES.1995.499443
  • Filename
    499443