• DocumentCode
    3241746
  • Title

    The cogprime architecture for embodied Artificial General Intelligence

  • Author

    Goertzel, Ben ; Shujing Ke ; Ruiting Lian ; O´Neill, Jade ; Sadeghi, Khosrow ; Dingjie Wang ; Watkins, Oliver ; Yu, Guanding

  • Author_Institution
    Novamente LLC, Rockville, MD, USA
  • fYear
    2013
  • fDate
    16-19 April 2013
  • Firstpage
    60
  • Lastpage
    67
  • Abstract
    CogPrime, a comprehensive architecture for embodied Artificial General Intelligence, is reviewed, covering the core architecture and algorithms, the underlying conceptual motivations, and the emergent structures, dynamics and functionalities expected to arise in a completely implemented CogPrime system once it has undergone appropriate experience and education. A qualitative argument is sketched, in favor of the assertion that a completed CogPrime system, given a modest amount of experience in an embodiment enabling it to experience a reasonably rich human-like world, will give rise to human-level general intelligence (with significant difference from humans, and with potential for progress beyond this level).
  • Keywords
    artificial intelligence; CogPrime architecture; embodied artificial general intelligence; human-level general intelligence; Algorithm design and analysis; Buildings; Computer architecture; Heuristic algorithms; Knowledge representation; Robots;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Intelligence for Human-like Intelligence (CIHLI), 2013 IEEE Symposium on
  • Conference_Location
    Singapore
  • Type

    conf

  • DOI
    10.1109/CIHLI.2013.6613266
  • Filename
    6613266