Abstract
In this work we show how control knowledge was used to improve planning in the USA-Advisor decision support system for the Space Shuttle. The USA-Advisor is a medium size, real-world planning application for use by NASA flight controllers and contains over a dozen domain dependent and domain independent heuristics. Experimental results are presented here, illustrating how this control knowledge helps improve both the quality of plans as well as overall system performance. © Springer-Verlag Berlin Heidelberg 2001.
Cite
CITATION STYLE
Balduccini, M., Gelfond, M., Watson, R., & Nogueira, M. (2001). The USA-advisor: A case study in answer set planning. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 2173 LNAI, pp. 439–442). https://doi.org/10.1007/3-540-45402-0_39
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