DocumentCode :
3060171
Title :
Knowledge-based scheduling
Author :
Kandt, Kirk
Author_Institution :
Interactive Software Environ., Moorpark, CA, USA
fYear :
1990
fDate :
4-7 Nov 1990
Firstpage :
765
Lastpage :
770
Abstract :
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
Keywords :
aerospace computing; knowledge based systems; scheduling; aerospace computing; artificially intelligent model; knowledge based systems; scheduling; space transportation architecture; Artificial intelligence; Computer architecture; Processor scheduling; Space exploration; Space missions; Space shuttles; Space stations; Space technology; Space vehicles; Transportation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Systems, Man and Cybernetics, 1990. Conference Proceedings., IEEE International Conference on
Conference_Location :
Los Angeles, CA
Print_ISBN :
0-87942-597-0
Type :
conf
DOI :
10.1109/ICSMC.1990.142224
Filename :
142224
Link To Document :
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