Prototype Knowledge-Based System to Aid Space System Restoration Management

摘要

This research effort investigates the application of Artificial Intelligence knowledge-based techniques to the problem of space system restoration management. A prototype decision aid was developed to demonstrate the feasibility of a knowledge-based decision aid capable of assisting the Commander of the US Space Command in maximizing the use of remaining space resources following wartime losses and degradation of space systems. Programmed with the Automated Reasoning Tool (ART), the prototype decision aid generates alternative restoration plans based on the mission priorities specified by the user. To rank the alternative plans by their effectiveness, the prototype uses an objective function which encompasses the multiple objectives of restoring communications, navigation and weather mission capabilities. The prototype decision aid also contains provisions to handle uncertain data and uses a branch and bound pruning algorithm to eliminate inferior partial plans and thereby hasten the solution process. (Theses)