The study of an hybrid learning algorithm and an hybrid architecture model in agent-based simulation

被引：0

作者：

Guo Xiao-jun ^{[1
]}

Yang Jian-jun ^{[1
]}

Feng Guo-hu ^{[1
]}

机构：

[1] Naval Aeronaut Engn Inst, Dept Control Engn, Yantai, Shandong, Peoples R China

来源：

2006 IMACS: MULTICONFERENCE ON COMPUTATIONAL ENGINEERING IN SYSTEMS APPLICATIONS, VOLS 1 AND 2 | 2006年

关键词：

multi-agent system; hybrid learning algorithm; hybrid architecture;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

To improve learning efficiency, an hybrid learning algorithm is proposed to combine individual learning and group learning effectively; it improves agent's ability and system's intelligence level; to satisfy the requirements of complex adaptability, an hybrid architecture model is developed; in this model, a coordination control unit based on knowledge is proposed to coordinate the cognitive process and reactive process.

引用

页码：1361 / +

页数：3