• DocumentCode
    2732789
  • Title

    Three qualitative simulation extensions for supporting economics models

  • Author

    Bridgeland, David Murray

  • Author_Institution
    Microelectron. & Comput. Technol. Corp., Austin, TX, USA
  • fYear
    1990
  • fDate
    5-9 May 1990
  • Firstpage
    266
  • Abstract
    Three extensions to qualitative simulation (QSIM) that permit modeling and simulation of a large class of economics problems are described. To be more powerful, financial expert systems need qualitative causal models in addition to associative knowledge. QSIM is a useful tool for building such models. However, building the models requires some extensions to QSIM. In particular, QSIM is unable to simulate the combination of average and marginal parameters or the constant time delays between actions and their effects, and it cannot treat certain statistics problems dynamically. Ways of overcoming these limitations so that a larger class of economics models can be simulated qualitatively are identified, and their implementation is described
  • Keywords
    digital simulation; economics; expert systems; financial data processing; QSIM; associative knowledge; constant time delays; economics models; economics problems; financial expert systems; modeling; qualitative causal models; qualitative simulation extensions; statistics problems; Artificial intelligence; Computational modeling; Computer simulation; Delay effects; Diagnostic expert systems; Expert systems; Microeconomics; Microelectronics; Power generation economics; Power system modeling;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Artificial Intelligence Applications, 1990., Sixth Conference on
  • Conference_Location
    Santa Barbara, CA
  • Print_ISBN
    0-8186-2032-3
  • Type

    conf

  • DOI
    10.1109/CAIA.1990.89199
  • Filename
    89199