Mathematics – Logic
Scientific paper
Jan 1997
adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=1997aipc..387..231d&link_type=abstract
Space technology and applications international forum (STAIF - 97). AIP Conference Proceedings, Volume 387, pp. 231-240 (1997).
Mathematics
Logic
Spaceborne And Space Research Instruments, Apparatus, And Components, Neural Networks, Fuzzy Logic, Artificial Intelligence, Decision Theory And Game Theory, Pattern Recognition, Data Acquisition: Hardware And Software
Scientific paper
The challenge of space flight in NASA's future is to enable smaller, more frequent and intensive space exploration at much lower total cost without substantially decreasing mission reliability, capability, or the scientific return on investment. The most effective way to achieve this goal is to build intelligent capabilities into the spacecraft themselves. Our technological vision for meeting the challenge of returning quality science through limited communication bandwidth will actually put scientists in a more direct link with the spacecraft than they have enjoyed to date. Technologies such as pattern recognition and machine learning can place a part of the scientist's awareness onboard the spacecraft to prioritize downlink or to autonomously trigger time-critical follow-up observations-particularly important in flyby missions-without ground interaction. Onboard knowledge discovery methods can be used to include candidate discoveries in each downlink for scientists' scrutiny. Such capabilities will allow scientists to quickly reprioritize missions in a much more intimate and efficient manner than is possible today. Ultimately, new classes of exploration missions will be enabled.
Chapman Clark
Doyle Richard J.
Gor Victoria
Man Guy K.
Merline William Jon
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