Multi-agent planning system for spacecraft

Rui Xu; Ping Yuan Cui; Xiao Fei Xu; Hu Tao Cui

Multi-agent planning system for spacecraft

Rui Xu^*, Ping Yuan Cui, Xiao Fei Xu, Hu Tao Cui

^*Corresponding author for this work

Harbin Institute of Technology

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

5 Citations (Scopus)

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.

Original language	English
Title of host publication	International Conference on Machine Learning and Cybernetics
Pages	1995-1999
Number of pages	5
Publication status	Published - 2003
Externally published	Yes
Event	2003 International Conference on Machine Learning and Cybernetics - Xi'an, China Duration: 2 Nov 2003 → 5 Nov 2003

Publication series

Name	International Conference on Machine Learning and Cybernetics
Volume	4

Conference

Conference	2003 International Conference on Machine Learning and Cybernetics
Country/Territory	China
City	Xi'an
Period	2/11/03 → 5/11/03

Keywords

Formal Model
Multiagent Planning System
Spacecraft
Temporal Constraint Satisfaction

Cite this

@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",

pages = "1995--1999",

booktitle = "International Conference on Machine Learning and Cybernetics",

note = "2003 International Conference on Machine Learning and Cybernetics ; Conference date: 02-11-2003 Through 05-11-2003",

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TY - GEN

T1 - Multi-agent planning system for spacecraft

AU - Xu, Rui

AU - Cui, Ping Yuan

AU - Xu, Xiao Fei

AU - Cui, Hu Tao

PY - 2003

Y1 - 2003

N2 - 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.

AB - 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.

KW - Formal Model

KW - Multiagent Planning System

KW - Spacecraft

KW - Temporal Constraint Satisfaction

UR - http://www.scopus.com/inward/record.url?scp=1542285779&partnerID=8YFLogxK

M3 - Conference contribution

AN - SCOPUS:1542285779

SN - 0780378652

T3 - International Conference on Machine Learning and Cybernetics

SP - 1995

EP - 1999

BT - International Conference on Machine Learning and Cybernetics

T2 - 2003 International Conference on Machine Learning and Cybernetics

Y2 - 2 November 2003 through 5 November 2003

ER -

Multi-agent planning system for spacecraft

Abstract

Publication series

Conference

Keywords

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