Emergent Intelligence in Large Scale Multi-Agent Systems

被引：0

作者：

Rzevski, George ^{[1
,2
]}

Skobelev, Petr ^{[3
]}

机构：

[1] Open Univ, Design & Complex, Milton Keynes, Bucks, England

[2] Magenta Technol, London, England

[3] Magenta Dev, Technol, Samara, Russia

来源：

INTERNATIONAL JOURNAL OF EDUCATION AND INFORMATION TECHNOLOGIES | 2007年 / 1卷 / 02期

关键词：

multi-agent systems; emergent intelligence; realtime planning; adaptive schedulers; transportation logistics;

D O I：

暂无

中图分类号：

G40 [教育学];

学科分类号：

040101 ; 120403 ;

摘要：

The paper describes a multi-agent system which is capable of achieving its goals under conditions of uncertainty and which exhibits emergent intelligent behaviour such as adaptation, learning and co-evolution with their environment. The intelligence of the scheduler emerges from the horizontal and vertical interaction of its constituent agents balancing their individual and group interests.

引用

页码：64 / 71

页数：8

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