• DocumentCode
    3376719
  • Title

    Concept learning in default logic

  • Author

    Qian, Zhaogang ; Irani, Keki B.

  • Author_Institution
    Artificial Intelligence Services, Troy, MI, USA
  • fYear
    1992
  • fDate
    10-13 Nov 1992
  • Firstpage
    244
  • Lastpage
    250
  • Abstract
    A model of induction is presented. Knowledge that people use for inductive concept learning is represented explicitly in terms of default schemas. Therefore, concept learning can be viewed as nonmonotonic reasoning in default logic. A computational procedure is also provided as an implementation of the idea presented
  • Keywords
    formal logic; learning (artificial intelligence); nonmonotonic reasoning; default logic; induction; inductive concept learning; nonmonotonic reasoning; Humans; Induction generators; Knowledge representation; Logic;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Tools with Artificial Intelligence, 1992. TAI '92, Proceedings., Fourth International Conference on
  • Conference_Location
    Arlington, VA
  • Print_ISBN
    0-8186-2905-3
  • Type

    conf

  • DOI
    10.1109/TAI.1992.246410
  • Filename
    246410
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3376719