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
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