Planning and scheduling of NASA Space Shuttle missions is a complex, labor-intensive process requiring the expertise of experienced mission planners. We have developed a planning and scheduling system using combinations of artificial intelligence knowledge representations and planning techniques to capture mission planning knowledge and automate the multi-mission planning process. Our integrated object oriented and rule-based approach reduces planning time by orders of magnitude and provides planners with the flexibility to easily modify planning knowledge and constraints without requiring programming expertise.


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    Title :

    Artificial Intelligence Techniques for Scheduling Space Shuttle Missions


    Contributors:

    Publication date :

    1994


    Size :

    4 pages


    Type of media :

    Report


    Type of material :

    No indication


    Language :

    English




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