The scheduling of space transportation assets for multiple multiyear missions is addressed. The objectives of a space transportation architecture (STA) are outlined, and an approach to meeting them using the artificially intelligent model (AIM) is described. The context that influences the development of an STA is presented, and an overview of AIM, including the type of output that is provided to a user, is given. The representation and processing schemes used in AIM are discussed.


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    Title :

    Knowledge-based scheduling


    Additional title:

    Wissensbasiertes Scheduling


    Contributors:
    Kandt, K. (author)


    Publication date :

    1990


    Size :

    6 Seiten, 4 Quellen




    Type of media :

    Conference paper


    Type of material :

    Print


    Language :

    English




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