From Local Behaviors to Global Performance in a Multi-Agent System

Authors:
Bingcheng Hu;Jiming Liu;Xiaolong Jin
Affiliations:
Hong Kong Baptist University, Kowloon Tong;Hong Kong Baptist University, Kowloon Tong;Hong Kong Baptist University, Kowloon Tong
Venue:
IAT '04 Proceedings of the IEEE/WIC/ACM International Conference on Intelligent Agent Technology
Year:
2004

Citing 0
Cited 4

Multiagent RoboNBA Simulation: From Local Behaviors to Global Characteristics

Simulation
On-line agent teamwork training using immunological network model

AIS-ADM'07 Proceedings of the 2nd international conference on Autonomous intelligent systems: agents and data mining
Coopetitive multimedia surveillance

MMM'07 Proceedings of the 13th International conference on Multimedia Modeling - Volume Part II
Characterizing complex behavior in (self-organizing) multi-agent systems

ICCSA'05 Proceedings of the 2005 international conference on Computational Science and Its Applications - Volume Part II

Quantified Score

Hi-index	0.00

Visualization

Abstract

In this paper, we show our current work on the relationships between local behaviors of agents and global performance of multi-agent systems. We conduct our experiments on RoboNBA, which is a multi-agent system testbed. Local behaviors and global performance in RoboNBA are introduced. In addition, we address the problem of how to quantitatively measure the global performance in RoboNBA. Through experiments and analysis, we try to examine how agents' local behaviors can lead to interesting global performance of a match (e.g., optimized match results) in three problems: (1) cooperation between agents; (2) rational decision making; (3) coordination among agents.