Problems of learning in multi-agent systems

被引：0

作者：

Lhotska, L ^{[1
]}

Klema, J ^{[1
]}

Stepankova, O ^{[1
]}

机构：

[1] Czech Tech Univ, Gerstner Lab, Fac Elect Engn, Prague 16627, Czech Republic

来源：

INTELLIGENT SYSTEMS FOR MANUFACTURING: MULTI-AGENT SYSTEMS AND VIRTUAL ORGANIZATION | 1998年

关键词：

multi-agent systems; learning; multi-agent learning;

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：

Multi-agent systems are usually very complex in their structure and functionality. fn most of the application tasks, it is,difficult or sometimes impossible to determine exactly and correctly behavior and activities of a multi-agent system during its design. Therefore it is important to find a way how to improve system's activity during its operation. This can be achieved by learning agents which modify their behaviour according to their experience. There have to be studied and developed new methods of machine learning which will prove useful for this purpose. The paper reviews the basic problems of learning in multi-agent systems and some approaches applied for their solution.

引用

页码：615 / 624

页数：10

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