Proceedings of the 2007 International Conference on Intelligent Systems and Knowledge Engineering (ISKE 2007)

Multi-task Coalition Formation based on Task-group Structure

Authors
Chaofeng Lin1, Shanli Hu, Shengfu Zheng, Shexiong Su
1Department of Computer Science and Technology, Fuzhou University
Corresponding Author
Chaofeng Lin
Available Online October 2007.
DOI
https://doi.org/10.2991/iske.2007.192How to use a DOI?
Keywords
Multi-task Coalition Formation based on Task-group Structure
Abstract

Coalition formation is an important manner of communication among agents in MAS. Some previous works only pay attention to forming a coalition for each task respectively, and the gross income of MAS may be not maximal. Thus, combination task called task-group is originally taken into account. In this way, the main problem lies that to search a partition of the given set of tasks called task-group structure to maximize the gross income. However, considering all of those possible task-group structures is impossible with the increasing number of tasks. Thus, an algorithm is developed to predigest the graph of task-group structures, and a multi-task coalition formation algorithm is proposed.

Copyright
© 2007, 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 2007 International Conference on Intelligent Systems and Knowledge Engineering (ISKE 2007)
Series
Advances in Intelligent Systems Research
Publication Date
October 2007
ISBN
978-90-78677-04-8
ISSN
1951-6851
DOI
https://doi.org/10.2991/iske.2007.192How to use a DOI?
Copyright
© 2007, 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  - Chaofeng Lin
AU  - Shanli Hu
AU  - Shengfu Zheng
AU  - Shexiong Su
PY  - 2007/10
DA  - 2007/10
TI  - Multi-task Coalition Formation based on Task-group Structure
BT  - Proceedings of the 2007 International Conference on Intelligent Systems and Knowledge Engineering (ISKE 2007)
PB  - Atlantis Press
SP  - 1123
EP  - 1128
SN  - 1951-6851
UR  - https://doi.org/10.2991/iske.2007.192
DO  - https://doi.org/10.2991/iske.2007.192
ID  - Lin2007/10
ER  -