Abstract
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.
| Original language | English |
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| Title of host publication | Proceedings. IEEE/WIC/ACM International Conference on Intelligent Agent Technology, 2004. (IAT 2004) |
| Publisher | IEEE |
| Pages | 309-315 |
| Number of pages | 7 |
| ISBN (Print) | 0769521010 |
| DOIs | |
| Publication status | Published - 24 Sept 2004 |
| Event | IEEE/WIC/ACM International Conference on Intelligent Agent Technology, IAT 2004 - Beijing, China Duration: 20 Sept 2004 → 24 Sept 2004 https://ieeexplore.ieee.org/xpl/conhome/9301/proceeding |
Publication series
| Name | IEEE/WIC/ACM International Conference on Intelligent Agent Technology (IAT) |
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Conference
| Conference | IEEE/WIC/ACM International Conference on Intelligent Agent Technology, IAT 2004 |
|---|---|
| Country/Territory | China |
| City | Beijing |
| Period | 20/09/04 → 24/09/04 |
| Internet address |
User-Defined Keywords
- Multiagent systems
- Robot kinematics
- Decision making
- Computer science
- System testing
- Performance analysis
- Intelligent robots
- Information analysis
- Statistical analysis
- Time factors
