Emergence of coordination in scale-free networks.

Web Intelligence and Agent Systems(2003)

引用 46|浏览12
暂无评分
摘要
We use several models of scale-free graphs as underlying interaction graphs for a simple model of Multi-Agent Systems (MAS), and study how fast the system reaches a fixed-point, that is, the time it takes for the system to get a 90% of the agents in the same state. The interest of these kind of graphs is in the fact that the Internet, a very plausible environment for MAS, is a scale-free graph with high clustering and 〈 k nn 〉, the nearest neighbor average connectivity of nodes with connectivity k , following a power-law. Our results show that different types of scale-free graphs make the system as efficient as fully connected graphs, in a clear agreement with our previous research ( Artif. Intell. 141 , pp. 175-181).
更多
查看译文
关键词
scale-free graph,connectivity k,nearest neighbor average connectivity,Multi-Agent Systems,clear agreement,different type,high clustering,plausible environment,previous research,simple model,scale-free network
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要