• DocumentCode
    277925
  • Title

    Construction of causal networks through linguistic modelling

  • Author

    Korn, J. ; Huss, F. ; Cumbers, J.

  • Author_Institution
    Middlesex Polytech., London, UK
  • fYear
    1991
  • fDate
    33267
  • Firstpage
    42430
  • Lastpage
    42433
  • Abstract
    The general background of modelling and simulation is examined, mostly from the point of view of potential predictive capability. Linguistic modelling, a branch of qualitative modelling is outlined which has been evolved especially for the representation of human activity situations, not amenable to mathematical analysis. This modelling technique involves the use of natural language suitably processed by meaning-preserving transformations so as to make possible the application of propositional logic, leading to the use of the programming language, PROLOG. The method thus, operates according to precise rules, and its theoretical constituents are derived from a knowledge of grammar and linguistics. The method generates descriptions of situations which are capable of predicting the existence, or otherwise, of outcomes. These predictions, depending on the data available, can be made quantitative
  • Keywords
    artificial intelligence; computational linguistics; digital simulation; grammars; logic programming; PROLOG; artificial intelligence; causal networks; grammar; linguistic modelling; meaning-preserving transformations; natural language; predictions; propositional logic; simulation;
  • fLanguage
    English
  • Publisher
    iet
  • Conference_Titel
    Artificial Intelligence in Simulation, IEE Colloquium on
  • Conference_Location
    London
  • Type

    conf

  • Filename
    180933