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AI Based Tools for Continuous Support to Mission Planning

Cesta A;Oddi A;Cortellessa G;Fratini S;
2006
2006
Istituto di Scienze e Tecnologie della Cognizione - ISTC
9th International Conference on Space Operations (SpaceOps 06),
Sì, ma tipo non specificato
Roma
planning
scheduling
problem solving
intelligent systems
Artificial Intelligence
The work gives a twofold contribution. On one hand, it propose the Constraint Satisfaction Problem (CSP) as a reference model for representing mission planning problems and presents a set of metaheuristic strategies based on the CSP model of the problem. On the other hand, it remarks as the interaction with the user is a key aspect for the success of technological tools and proposes few and effective principles for exploiting human capabilities within the solving process of a complex mission planning problem. Starting from the O-Oscar tool - the outcome of a project work funded by the Italian Space Agency (ASI) - we shows how this core architecture is evolved in solving a complex mission planning problem related to the Mars-Express program of the European Space Agency (ESA).We describe a two-step effort: a first study, which produced a demonstration prototype able to capture the main aspects of the problem, and a second effort, that has developed a fielded application, completely integrated in the operations environment. The tool is currently used on daily basis by the mission planning team of Mars-Express at the European Space Agency since February 2005.
6
none
Cesta, A; Oddi, A; Cortellessa, G; Fratini, S; Policella, ; N,
273
info:eu-repo/semantics/conferenceObject
04 Contributo in convegno::04.01 Contributo in Atti di convegno
04.01 Contributo in Atti di convegno
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.14243/57809
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