• DocumentCode
    2715031
  • Title

    Large scale real time knowledge based methods and technology

  • Author

    Martin, Sean ; Howells, Howard

  • Author_Institution
    Cambridge Consultants Ltd, UK
  • fYear
    1995
  • fDate
    34730
  • Firstpage
    42522
  • Lastpage
    42524
  • Abstract
    Summarises recent research in real-time knowledge-based methods and techniques conducted by the Defence Research Agency and Cambridge Consultants. This paper also reports on the development of a large-scale prototype that demonstrates the effectiveness of this research. The scope of the research concerns the development of a knowledge acquisition method for real-time applications, the development of tools that compile the knowledge produced by a knowledge engineering toolset for execution in the Muse real-time KBS toolkit and experimental extensions to Muse to support concurrent real-time execution, referred to as D-Muse. Prior work has demonstrated that knowledge-based techniques provide useful functionality, but in order to meet real-time decision support requirements, these areas needed to be addressed. A prototype is being constructed to demonstrate the effectiveness of the research. It concerns a real-time decision support system to enhance the performance of a helicopter aircrew engaged in a naval mission to search and identify contacts in coastal water
  • Keywords
    decision support systems; helicopters; knowledge based systems; large-scale systems; military computing; naval engineering computing; real-time systems; D-Muse; Muse toolkit; coastal water contacts; concurrent real-time execution; helicopter aircrew performance; identification; knowledge acquisition method; knowledge compilation; knowledge engineering toolset; large-scale prototype; naval mission; real-time decision support system; real-time knowledge-based methods; searching;
  • fLanguage
    English
  • Publisher
    iet
  • Conference_Titel
    Real-Time Knowledge Based Systems, IEE Colloquium on
  • Conference_Location
    London
  • Type

    conf

  • DOI
    10.1049/ic:19950109
  • Filename
    478145