• DocumentCode
    485991
  • Title

    The modeling of human cognitive decision processes in the intelligent machine model (TIMMTM)

  • Author

    Parker, Richard Elias ; Kiselewich, Stephen J.

  • Author_Institution
    Artificial Intelligence Laboratory, General Research Corporation, P. O. Box 6770, Santa Barbara, California 93160-6770
  • fYear
    1984
  • fDate
    6-8 June 1984
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    The Intelligent Machine Model (TIMMTM) is a software package that enables a user to build an "expert system"--that is, a system which is capable of providing expert advice in some well-defined domain of expertise. To accomplish this, (TIMMTM) attempts to represent some of the analog character of the real world domain, in addition to a standard rule base. This extra information defines a metric over the rule base. This metric allows (TIMMTM) to model some distinctly human capabilities. (TIMMTM) is able to reach decisions for new, uncertain, and incompletely defined situations. (TIMMTM) is able to examine its own rule base and suggest new rules that seem appropriate for the domain. These are important capabilities for real world expert systems.
  • Keywords
    Analog memory; Artificial intelligence; Cognitive science; Expert systems; Humans; Information processing; Intelligent systems; Laboratories; Machine intelligence; Software packages;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    American Control Conference, 1984
  • Conference_Location
    San Diego, CA, USA
  • Type

    conf

  • Filename
    4788345
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=485991