• DocumentCode
    3373845
  • Title

    Two-sided hypotheses generation for abductive analogical reasoning

  • Author

    Abe, Akinori

  • Author_Institution
    NTT Commun. Sci. Labs., Soraku, Japan
  • fYear
    1999
  • fDate
    1999
  • Firstpage
    145
  • Lastpage
    152
  • Abstract
    In general, if a knowledge base lacks the necessary knowledge, abductive reasoning cannot explain an observation. Therefore, it is necessary to generate missing hypotheses. CMS can generate missing hypotheses, but it can only generate short-cut hypotheses or hypotheses that will not be placed on real leaves. That is, the inference path is incomplete (truncated), so that abduction is not complete. The inference proposed tries to generate missing hypotheses that are placed on the middle of the inference path by both abductive inference and deductive inference using analogical mapping. As a result, the inference can generate missing hypotheses even on the middle of the inference path
  • Keywords
    case-based reasoning; uncertainty handling; CMS; abductive analogical reasoning; analogical mapping; deductive inference; inference path; knowledge base; missing hypotheses; two-sided hypotheses generation; Artificial intelligence; Collision mitigation; Fuels; Horses; Inference mechanisms; Laboratories;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Tools with Artificial Intelligence, 1999. Proceedings. 11th IEEE International Conference on
  • Conference_Location
    Chicago, IL
  • ISSN
    1082-3409
  • Print_ISBN
    0-7695-0456-6
  • Type

    conf

  • DOI
    10.1109/TAI.1999.809779
  • Filename
    809779