• DocumentCode
    423590
  • Title

    Object permanence: results from developmental robotics

  • Author

    Chen, Yi ; Weng, Juyang ; Huang, Xiao

  • Author_Institution
    Dept. of Comput. Sci. & Eng., Michigan State Univ., East Lansing, MI, USA
  • Volume
    1
  • fYear
    2004
  • fDate
    25-29 July 2004
  • Lastpage
    584
  • Abstract
    Object permanence is an important theoretical construct that has been researched with infants. For the last twenty years, a debate as whether object permanence is an innate conceptual knowledge or a gradually constructed perceptual capability has been raised. However, the lack of autonomous computational models leaves this issue still widely open. A neurologically inspired computational model based on priming is proposed and tested on our developmental SAIL robot. By nurturing the robot baby with different living experiences, we conduct the well-known "drawbridge" experiment on eleven experience-tuned "brains". The implication of our experimental results is informative, which not only sheds light on the controversial issue of object permanence, but might produce long lasting effects on the way AI community approaches highly perceptual machines.
  • Keywords
    brain models; cognitive systems; knowledge engineering; robots; developmental SAIL robot; developmental robotics; object permanence; perceptual machines; Artificial intelligence; Cognitive robotics; Computational modeling; Computer science; Humans; Neuroscience; Pediatrics; Psychology; Robots; Testing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Neural Networks, 2004. Proceedings. 2004 IEEE International Joint Conference on
  • ISSN
    1098-7576
  • Print_ISBN
    0-7803-8359-1
  • Type

    conf

  • DOI
    10.1109/IJCNN.2004.1379979
  • Filename
    1379979