• DocumentCode
    2753483
  • Title

    T2K2: A Type II KASER

  • Author

    Rubin, Stuart H. ; Chen, Shu-Ching ; Law, James B.

  • Author_Institution
    SSC, San Diego, CA
  • fYear
    2006
  • fDate
    16-18 Sept. 2006
  • Firstpage
    147
  • Lastpage
    153
  • Abstract
    The transformational methodology described in this paper induces new knowledge, which may be open under any deductive process. The method of transposition is used to maintain a maximum size for the application as well as meta-rule bases. The "move to head" method is used by both the application and metarule bases for hypotheses formation. Whenever an application rule is fired, it is transposed on the transposition list and also moved to the head on the other list. If any meta-rule on a solution path individually leads to a contradiction on the application rule base, then the offending meta-rule is expunged. Then, when the system is idle enter dream mode, whereby rule i rArr rule j is generated by the 3-2-1 skewed twister as a candidate most-specific meta-rule. Candidate most-specific meta-rules are "cored" to create one generalization per candidate. These candidate meta-rules are tested for application to each rule in the application domain rule base. In order to be saved in the meta base, they may not map any existing rule in the application domain rule base to one having the same antecedent as another in this base, but a different consequent (as found by hashing). In addition, all candidate meta-rules must map at least one rule in the application base to another distinct one there, or be symmetrically induced from meta-rules that so map
  • Keywords
    knowledge based systems; learning (artificial intelligence); natural languages; randomised algorithms; T2K2; application rule base; machine learning; metarule bases; move to head method; natural language; randomization; transformational method; type II KASER; Calculus; Closed loop systems; Clustering algorithms; Cognition; Computer applications; Machine learning algorithms; Natural languages; Speech synthesis; Synthesizers; Testing; Computing with Words; Machine Learning; Natural Language; Randomization; Translation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Reuse and Integration, 2006 IEEE International Conference on
  • Conference_Location
    Waikoloa Village, HI
  • Print_ISBN
    0-7803-9788-6
  • Type

    conf

  • DOI
    10.1109/IRI.2006.252404
  • Filename
    4018481