The USA-advisor: A case study in answer set planning

Marcello Balduccini, Michael Gelfond, R. Watson, M. Nogueira

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

49 Scopus citations

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.

Original languageEnglish
Title of host publicationLogic Programming and Nonmonotonic Reasoning - 6th International Conference, LPNMR 2001, Proceedings
Pages439-442
Number of pages4
DOIs
StatePublished - 2001
Event6th International Conference on Logic Programming and Nonmonotonic Reasoning, LPNMR 2001 - Vienna, Austria
Duration: Sep 17 2001Sep 19 2001

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume2173 LNAI
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference6th International Conference on Logic Programming and Nonmonotonic Reasoning, LPNMR 2001
CountryAustria
CityVienna
Period09/17/0109/19/01

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