Resource coordination on MAS multi-plans context

Authors:
Weihua Yi;C. H. Zhang;Z. Liu;Xueguang Chen
Affiliations:
Institute of Systems Eng., Huazhong University of Science and Technology, China;Dept. of Electrical & Computer Eng, Kumamoto University, Japan;Graduate School of Engineering, Nagasaki Institute of Applied Science, Japan;Institute of Systems Eng., Huazhong University of Science and Technology, China
Venue:
CEEMAS'05 Proceedings of the 4th international Central and Eastern European conference on Multi-Agent Systems and Applications
Year:
2005

Citing 4
Cited 0

Intention is choice with commitment

Artificial Intelligence
Reflections on the Nature of Multi-Agent Coordination and Its Implications for an Agent Architecture

Autonomous Agents and Multi-Agent Systems
Resource Coordination in Single Agent and Multiagent Systems

ICTAI '01 Proceedings of the 13th IEEE International Conference on Tools with Artificial Intelligence
Co-ordination in artificial agent societies: social structures and its implications for autonomous problem-solving agents

Co-ordination in artificial agent societies: social structures and its implications for autonomous problem-solving agents

Quantified Score

Hi-index	0.00

Visualization

Abstract

Resource allocation is an important type of decision making activities. In distributed resource allocation, the privacies need to be considered, which is not easy for mathematical programming. Until now, the MAS method has been studied as it appeared to be a practical method for obtaining a collaborative solution to group decision-making. This paper proposes MAS multi-plans coordination to study distributed resource allocation, which considers both privacy and global goal. The numerical results obtained indicate the method is practical.