@inproceedings{573d55eaa10c4df3a523a011f64f22fe,
title = "Multi-agent planning system for spacecraft",
abstract = "Recently, growing attention has been paid to multiagent planning system in Artificial Intelligence. A multiagent planning system(MAPS), which is used to produce applicable action sequence under complex constraints, is built for the spacecraft mission autonomous planning in this paper. The new architecture of distributed MAPS is designed, and the functions of the plan agents and manager agent are described. To be capable of describing simultaneous activity, continue time, resource and temporal constraints, a new planning formal model is given. For every planning agent in the MAPS, its layered architecture is designed and planning algorithm based on the temporal constraint satisfaction is given in detail. Finally, with the given scenarios, a prototype for the multi-agent planning system of spacecraft operation is implemented.",
keywords = "Formal Model, Multiagent Planning System, Spacecraft, Temporal Constraint Satisfaction",
author = "Rui Xu and Cui, \{Ping Yuan\} and Xu, \{Xiao Fei\} and Cui, \{Hu Tao\}",
year = "2003",
language = "English",
isbn = "0780378652",
series = "International Conference on Machine Learning and Cybernetics",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "1995--1999",
booktitle = "2003 International Conference on Machine Learning and Cybernetics, ICMLC 2003",
address = "United States",
note = "2nd International Conference on Machine Learning and Cybernetics, ICMLC 2003 ; Conference date: 02-11-2003 Through 05-11-2003",
}