Exploiting domain-specific knowledge to refine simulation specifications

D. Pautler, S. Woods, A. Quilici
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引用次数: 4

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.
利用特定领域的知识来细化仿真规范
讨论了我们解决精炼高级仿真规范问题的方法。我们的领域是坦克排成员的模拟战斗训练。我们的输入是训练场景的高级规范,我们的输出是基于网络的战斗模拟器行为的可执行规范。我们的方法将坦克训练域的详细模型与非线性规划和约束满足技术相结合。我们最初的实现在很大程度上是成功的,因为我们使用了领域知识来限制规划器的分支因素和约束满足引擎。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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