| タイトル | The Intelligent Data Understanding Element of NASA's Intelligent Systems Program |
| 著者（英） | Coughlan, Joseph C.; Tilton, James C.; Rood, Richard |
| 著者所属（英） | NASA Ames Research Center |
| 発行日 | 2002-01-01 |
| 言語 | eng |
| 内容記述 | Within the NASA Intelligent Systems Program, the Intelligent Data Understanding (IDU) element develops techniques for transforming data into scientific understanding. Automating such tools is critical for space science, space-based earth science, and planetary exploration with onboard scientific data analysis. Intelligent data understanding (IDU) is about extracting meaning from large, diverse science and engineering databases, via autonomous techniques that transform very large datasets into understanding. The earth science community in particular needs new tools for analyzing multi-formatted and geographically distributed datasets and for identifying cause-effect relationships in the complex data. Research within the IDU program element seeks to automate data analysis tasks so that humans can focus on creative hypothesis generation and knowledge synthesis. It may also enable NASA space missions in which autonomous agents must generate knowledge and take actions, and missions where limited bandwidth permits transmission of only the most interesting scientific observations, summaries, and conclusions. Twenty-seven research projects are-currently funded. |
| NASA分類 | Cybernetics, Artificial Intelligence and Robotics |
| 権利 | No Copyright |
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