• DocumentCode
    1706643
  • Title

    Exploiting domain-specific knowledge to refine simulation specifications

  • Author

    Pautler, David ; Woods, Steven ; Quilici, Alex

  • Author_Institution
    Dept. of Electr. Eng., Hawaii Univ., Honolulu, HI, USA
  • fYear
    1997
  • Firstpage
    117
  • Lastpage
    124
  • Abstract
    Discusses our approach to the problem of refining high-level simulation specifications. Our domain is simulated combat training for tank platoon members. Our input is a high-level specification for a training scenario and our output is an executable specification for the behavior of a network-based combat simulator. Our approach combines a detailed model of the tank training domain with nonlinear planning and constraint satisfaction techniques. Our initial implementation is successful in large part because of our use of domain knowledge to limit the branching factor of the planner and the constraint satisfaction engine
  • Keywords
    computer aided software engineering; computer based training; constraint handling; digital simulation; formal specification; military computing; planning (artificial intelligence); training; branching factor; constraint satisfaction; domain-specific knowledge; executable specification; high-level simulation specification refinement; network-based combat simulator; nonlinear planning; simulated combat training; tank platoon members; Algorithm design and analysis; Data structures; Design optimization; Engines; Formal specifications; Helicopters; Numerical simulation; Scheduling algorithm; Turning; Weapons;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Automated Software Engineering, 1997. Proceedings., 12th IEEE International Conference
  • Conference_Location
    Incline Village, NV
  • Print_ISBN
    0-8186-7961-1
  • Type

    conf

  • DOI
    10.1109/ASE.1997.632831
  • Filename
    632831