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Knowledge-based reasoning in the Paladin tactical decision generation system

机译：圣骑士战术决策生成系统中基于知识的推理

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A real-time tactical decision generation system for air combat engagements, Paladin, has been developed. A pilot's job in air combat includes tasks that are largely symbolic. These symbolic tasks are generally performed through the application of experience and training (i.e., knowledge) gathered over years of flying a fighter aircraft. Two such tasks, situation assessment and throttle control, are identified and broken out in Paladin to be handled by specialized knowledge-based systems. Knowledge pertaining to these tasks is encoded into rule bases to provide the foundation for decisions. Paladin uses a customer-built inference engine and a partitioned rule-base structure to give these symbolic results in real time. An overview of knowledge-based reasoning systems as a subset of rule-based systems is provided. The knowledge used by Paladin in generating results as well as the system design for real-time execution is discussed. Paladin uses artificial intelligence techniques to address air-to-air combat and agile aircraft in a clear and concise manner. The Differential Maneuvering Simulator offers a unique opportunity to evaluate the performance of the Paladin software in a real-time tactical environment against human pilots.
机译：已经开发了用于空战交战的实时战术决策生成系统，圣骑士。飞行员在空战中的工作主要是具有象征意义的任务。这些象征性的任务通常是通过运用多年来驾驶战斗机而积累的经验和训练（即知识）来完成的。在圣骑士中确定并分解了两个这样的任务，即状态评估和节气门控制，由专门的基于知识的系统处理。与这些任务有关的知识被编码到规则库中，为决策提供基础。 Paladin使用客户构建的推理引擎和分区的规则库结构实时提供这些符号结果。提供了作为基于规则的系统的子集的基于知识的推理系统的概述。讨论了Paladin用于生成结果的知识以及用于实时执行的系统设计。 Paladin使用人工智能技术以清晰简明的方式应对空战和敏捷飞机。差分机动模拟器提供了一个独特的机会，可以在针对飞行员的实时战术环境中评估Paladin软件的性能。

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