Using hybrid knowledge bases for missile siting problems

J. Benton, V. S. Subrahmanian
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引用次数: 14

Abstract

Hybrid knowledge bases (HKBs) are a formalism for integrating multiple representations of knowledge and data. HKBs provide a uniform framework for integrating uncertain information (as is often the case in terrain reasoning), temporal information (needed for weather effects, etc.), and numeric constraint solving capabilities (for situation assessment). We show how the HKB formalism may be applied to solve the problem of placing Patriot and Hawk missile batteries in a specified terrain, subject to the requirement that various existing assets be afforded maximal protection. We formalize this problem in a clear, mathematical framework, using the HKB paradigm, and show how the problem is solved. This provides a mathematically sound, as well as a practically viable, scalable solution to the important problem of missile siting.<>
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基于混合知识库的导弹定位问题研究
混合知识库(HKBs)是一种整合知识和数据的多种表示的形式。HKBs提供了一个统一的框架,用于整合不确定信息(如地形推理中经常出现的情况)、时间信息(天气影响等所需)和数值约束求解能力(用于情况评估)。我们展示了如何将HKB形式主义应用于解决在特定地形中放置爱国者和鹰导弹电池的问题,并要求为各种现有资产提供最大的保护。我们使用HKB范式在一个清晰的数学框架中形式化了这个问题,并展示了如何解决这个问题。这为导弹定位的重要问题提供了一个数学上合理的,以及实际可行的,可扩展的解决方案。
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