• DocumentCode
    304654
  • Title

    Correction of dynamic knowledge

  • Author

    Pierret-golbreich, Christine

  • Author_Institution
    CNRS, Univ. de Paris-Sud, Orsay, France
  • fYear
    1996
  • fDate
    16-19 Nov. 1996
  • Firstpage
    228
  • Lastpage
    231
  • Abstract
    The work concerns a framework for the formal specification and verification of the dynamic knowledge of knowledge-based systems. At a conceptual level, a system is specified in terms of problems, problem-solving processes, knowledge. An important question is to determine if a process is applicable to solve a problem. In this paper we present how problems and problem-solving processes are specified by abstract data types and we introduce a formalization of the relationships between them. We show how it can be formally proved that a process is correct with respect to a given problem.
  • Keywords
    abstract data types; formal specification; formal verification; knowledge based systems; knowledge verification; abstract data types; dynamic knowledge correction; formal specification; formal verification; knowledge-based systems; problem-solving processes; Calculus; Elevators; Formal languages; Formal specifications; Knowledge based systems; Problem-solving; Sufficient conditions;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Tools with Artificial Intelligence, 1996., Proceedings Eighth IEEE International Conference on
  • ISSN
    1082-3409
  • Print_ISBN
    0-8186-7686-7
  • Type

    conf

  • DOI
    10.1109/TAI.1996.560456
  • Filename
    560456