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
Link To Document :
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