• DocumentCode
    2991221
  • Title

    Solving dynamic-input interpretation problems using the hypothesize-test-revise paradigm

  • Author

    Cebulka, K.D. ; Carberry, Sandra ; Chester, Daniel L.

  • Author_Institution
    Dept. of Comput. & Inf., Sci., Delaware Univ., Newark, DE, USA
  • fYear
    1988
  • fDate
    14-18 Mar 1988
  • Firstpage
    365
  • Lastpage
    370
  • Abstract
    The authors introduce a dynamic-input problem solver and contrast it with the traditional static approach. A domain-independent hypothesis revision strategy for solving dynamic-input interpretation problems is presented, and its reasoning techniques are compared with R. Reiter´s (1980) default logic. A novel problem solver architecture based on a truth maintenance system is described. Advantages of this approach include a domain-independent strategy for generation and revising hypotheses in a dynamic environment, and a clear separation between the referential level and the inferencing level in a default reasoning system
  • Keywords
    formal logic; knowledge engineering; artificial intelligence; default logic; domain-independent hypothesis revision strategy; dynamic-input interpretation; dynamic-input problem solver; explanation; knowledge engineering; reasoning; truth maintenance; Artificial intelligence; Chemicals; Fault diagnosis; Logic; Natural languages; Problem-solving;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Artificial Intelligence Applications, 1988., Proceedings of the Fourth Conference on
  • Conference_Location
    San Diego, CA
  • Print_ISBN
    0-8186-0837-4
  • Type

    conf

  • DOI
    10.1109/CAIA.1988.196132
  • Filename
    196132