From local behaviors to global performance in a multi-agent system

被引：7

作者：

Hu, BC ^{[1
]}

Liu, JM ^{[1
]}

Jin, XL ^{[1
]}

机构：

[1] Hong Kong Baptist Univ, Dept Comp Sci, Kowloon, Hong Kong, Peoples R China

来源：

IEEE/WIC/ACM INTERNATIONAL CONFERENCE ON INTELLIGENT AGENT TECHNOLOGY, PROCEEDINGS | 2004年

关键词：

D O I：

10.1109/IAT.2004.1342960

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

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(1), 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.

引用

页码：309 / 315

页数：7

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