Proceedings of the 2015 International Conference on Computer Science and Intelligent Communication

An Efficient Approach to Do Multi-agent Planning

Authors
Lin Zeng, Lei Li
Corresponding Author
Lin Zeng
Available Online July 2015.
DOI
https://doi.org/10.2991/csic-15.2015.103How to use a DOI?
Keywords
AI planning, Multi-agent system, Graph structure
Abstract

Multi-agent planning is a difficult, yet under investigated class of planning problems. In the cooperative assumption, agents plan to achieve their individual goals independently, communicate with each other by continually sending and receiving messages from other agents. However, finding a globally consistent plan requires agents to interact with each other, which is time-consuming. In this paper, we describe a general framework that extracts the graph structure from causal constraints between agents in solving multi-agent planning problems to reduce the effort of repeatedly searching agents' consistent local plans and we theoretical analytically show that our approach can efficiently solve multi-agent planning problems with very complicated coupling level.

Copyright
© 2015, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2015 International Conference on Computer Science and Intelligent Communication
Series
Advances in Computer Science Research
Publication Date
July 2015
ISBN
978-94-62520-84-4
ISSN
2352-538X
DOI
https://doi.org/10.2991/csic-15.2015.103How to use a DOI?
Copyright
© 2015, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Lin Zeng
AU  - Lei Li
PY  - 2015/07
DA  - 2015/07
TI  - An Efficient Approach to Do Multi-agent Planning
BT  - Proceedings of the 2015 International Conference on Computer Science and Intelligent Communication
PB  - Atlantis Press
SP  - 425
EP  - 428
SN  - 2352-538X
UR  - https://doi.org/10.2991/csic-15.2015.103
DO  - https://doi.org/10.2991/csic-15.2015.103
ID  - Zeng2015/07
ER  -