Multi-agent Systems in Industry: Current Trends & Future Challenges

被引：6
|
作者：
Leitao, Paulo [1 ]
机构：
[1] Polytech Inst Braganca, P-5301857 Braganca, Portugal
来源：
BEYOND ARTIFICIAL INTELLIGENCE: CONTEMPLATIONS, EXPECTATIONS, APPLICATIONS | 2013年 / 4卷
关键词：
D O I：
10.1007/978-3-642-34422-0_13
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
This paper introduces the multi-agent systems paradigm and presents some industrial applications of this AI approach, namely in manufacturing, handling and logistics domains. The road-blockers for the current weak adoption of this technology in industry are also discussed, and finally the current trends and several future challenges are pointed out to increase the wider dissemination and acceptance of the multi-agent technology in industry.
引用
收藏
页码：197 / 201
页数：5
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