• DocumentCode
    2934284
  • Title

    Artificial intelligence and simulation (tutorial)

  • Author

    Rothenberg, Jeff

  • Author_Institution
    Rand Corp., Santa Monica, CA, USA
  • fYear
    1990
  • fDate
    9-12 Dec 1990
  • Firstpage
    22
  • Lastpage
    24
  • Abstract
    Some of the major concepts of artificial intelligence (AI) are presented and the author illustrates their applicability to simulation using examples drawn from recent knowledge-based simulation research. He focuses on the present state of the art, current problems and limitations, and future directions and possibilities. It is pointed out that the major impact of AI research on simulation is to encourage the use of additional kinds of modeling based on inferencing, reasoning, search methods; and representations that have been developed in AI. This natural extension of simulation can produce behavioral models that answer questions beyond `what-if?´. The result is sometimes referred to as knowledge-based simulation
  • Keywords
    digital simulation; inference mechanisms; knowledge based systems; search problems; AI research; artificial intelligence; behavioral models; future directions; inferencing; knowledge-based simulation; knowledge-based simulation research; reasoning; search methods; Artificial intelligence; Automatic speech recognition; Competitive intelligence; Computational modeling; Computer science; Image recognition; Predictive models; Psychology; Search methods; Tutorial;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Simulation Conference, 1990. Proceedings., Winter
  • Conference_Location
    New Orleans, LA
  • Print_ISBN
    0-911801-72-3
  • Type

    conf

  • DOI
    10.1109/WSC.1990.129481
  • Filename
    129481