• DocumentCode
    3174257
  • Title

    Learning via queries

  • Author

    Gasarch, W.I.

  • Author_Institution
    Dept. of Comput. Sci., Maryland Univ., College Park, MD
  • fYear
    1988
  • fDate
    24-26 Oct 1988
  • Firstpage
    130
  • Lastpage
    137
  • Abstract
    The power of various query languages is compared along two dimensions, namely the inherent power of the language and the number of alternations of quantizers. Learning by asking questions is compared to learning by passively reading data. It is found that the extent of what can be learned by queries is largely dependent on the language used by the inference mechanism to formulate questions to ask of its trainer. It is proved that inference machines that are allowed to ask first-order questions with plus and times can be used to solve the halting problem and therefore can learn all the recursive functions. Learning languages are also considered
  • Keywords
    inference mechanisms; learning systems; query languages; inference machines; inference mechanism; inherent power; quantizers; query languages; recursive functions; Arithmetic; Artificial intelligence; Computer science; Database languages; Educational institutions; Formal verification; Humans; Inference mechanisms; Logic; Machine learning;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Foundations of Computer Science, 1988., 29th Annual Symposium on
  • Conference_Location
    White Plains, NY
  • Print_ISBN
    0-8186-0877-3
  • Type

    conf

  • DOI
    10.1109/SFCS.1988.21931
  • Filename
    21931