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Artificial Intelligence Based Framework for Planning Air Launched Cruise Missile Missions

机译:基于人工智能的航空巡航导弹任务规划框架

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This thesis proposes a design for a computer system capable of generating mission plans for an ALCM based upon recent research in the field of artificial intelligence. A hybrid blackboard architecture is developed as the basic architecture of the planning system. The hybrid architecture emphasizes the parallel processing potential inherent in a blackboard system and forces some structure onto the blackboard concept. The knowledge source performing the actual mission planning is designed as a rule based production system which allows mission planners to build the rules used for the planning process. These rules define for the system what makes a mission plan more acceptable. As the mission planners specify the rules used, this system should be viewed as a ALCM planning tool, akin to a spreadsheet program. A modified meta-planning approach is used to reduce the number of alternative mission plans to be evaluated. Domain specific constraints are applied against proposed mission plans and heuristics are used to rank those plan alternatives satisfying all the constraints.

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