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- W1851817363 abstract "Automated scheduling will play an increasing role in future ground-and space-based observatory operations. Due to the complexity of the problem, artificial intelligence technology currently offers the greatest potential for the development of scheduling tools with sufficient power and flexibility to handle realistic scheduling situations. This paper summarizes the main features of the observatory scheduling problem, how AI techniques can be applied, and recent progress on AI scheduling for Hubble Space Telescope." @default.
- W1851817363 created "2016-06-24" @default.
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- W1851817363 date "1989-01-01" @default.
- W1851817363 modified "2023-09-23" @default.
- W1851817363 title "Artificial Intelligence Approaches to Astronomical Observation Scheduling" @default.
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- W1851817363 doi "https://doi.org/10.1007/978-1-4684-5646-2_23" @default.
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