The Design of Real-Time Expert Systems for Autonomous Vehicles

1988年12月，海洋系统工程实验室（MSEL）开始了一个项目，由美国国家科学基金会资助。EID-8818406)，研究自主水下航行器（AUV）系统中基于知识的系统设计中的关键问题。它的目的是理解与在实时领域中使用这些基于知识的系统相关的一些问题。工作的重点是建立一个符号处理环境，该环境将存在于实时操作系统之上。这项工作建立在最初工作的结果之上，反映了在这个项目的初始阶段发展起来的洞察力。该研究将在两年的时间内完成，并将为自主水下航行器（AUV）系统中的专家系统实现智能实时调度程序。它定义了根据我们之前设计实时专家系统的工作所指定的标准开发调度算法的努力。这项工作的成果将是一个领域独立的调度算法，适用于任何环境，其中多个知识来源以时间限制的方式交互。

In December 1988, the Marine Systems Engineering Laboratory (MSEL) began a program, funded by the National Science Foundation (Grant No. EID-8818406), to investigate the key issues in the design of knowledge-based systems for use in Autonomous Underwater Vehicle (AUV) systems. It was directed at understanding some of the problems associated with utilizing these knowledge-based systems in real time domains. The efforts focused on establishing a symbolic processing environment which would exist on top of a real time operating system. This effort which builds on the results of the initial work, reflects the insights which were developed during the initial phase of this program. The investigations will be accomplished over a two year period and will result in the implementation of a intelligent real-time scheduler for expert systems running in Autonomous Undersea Vehicle (AUV) systems. It defines an effort to develop a scheduling algorithm in accordance with the criteria specified as a result of our previous work in designing real-time expert systems. The product of this effort will be a domain-independent scheduling algorithm suitable for use in any environment where multiple knowledge sources interact in a time-constrained fashion.