• DocumentCode
    1499296
  • Title

    An approach to knowledge acquisition based on the structure of personal construct systems

  • Author

    Ford, Kenneth M. ; Petry, Frederick E. ; Adams-Webber, Jack R. ; Chang, Paul J.

  • Author_Institution
    Univ. of West Florida, Pensacola, FL, USA
  • Volume
    3
  • Issue
    1
  • fYear
    1991
  • fDate
    3/1/1991 12:00:00 AM
  • Firstpage
    78
  • Lastpage
    88
  • Abstract
    A research effort aimed at the development and unification of the prerequisite underlying theoretical foundations for an adequate approach to knowledge elicitation from repertory grid data is described. A theory of confirmation that incorporates the basic tenets of personal construct psychology directly into the logic as a basis for the determination of relevance is offered, thus strengthening the logic and extending personal construct psychology. These largely theoretical developments are applied to the representation and analysis of repertory grid data. The concept of an α-plane is introduced as a binary decomposition of repertory grid data that furnishes the realization of construct extensions (or ranges of convenience) needed to determine the range of relevance of a particular generalization or hypothesis. In addition, they provide the uniquely determined string of incidences required by any application of Bundy´s truth functional incidence calculus. The theories are applied to the design and construction of NICOD-a semiautomated medical knowledge acquisition system. The system has been successfully employed in the elicitation of valuable heuristic radiological knowledge (mammography) that the domain experts (radiologists) were otherwise unable to articulate
  • Keywords
    knowledge acquisition; medical administrative data processing; α-plane; NICOD; binary decomposition; domain experts; heuristic radiological knowledge; knowledge acquisition; knowledge elicitation; knowledge representation; mammography; personal construct psychology; personal construct systems; radiologists; repertory grid data; semiautomated medical knowledge acquisition system; structure; unification; Artificial intelligence; Calculus; Expert systems; Humans; Knowledge acquisition; Knowledge engineering; Lifting equipment; Logic; Problem-solving; Psychology;
  • fLanguage
    English
  • Journal_Title
    Knowledge and Data Engineering, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1041-4347
  • Type

    jour

  • DOI
    10.1109/69.75891
  • Filename
    75891