Collaboration strategy for software dynamic evolution of multi-agent system

被引：0

作者：

李青山 ^{[1
]}

褚华 ^{[1
]}

张曼 ^{[1
]}

李敏 ^{[1
]}

刁亮 ^{[1
]}

机构：

[1] Software Engineering Institute, Xidian University

来源：

Journal of Central South University | 2015年 / 22卷 / 07期

基金：

中央高校基本科研业务费专项资金资助; 中国国家自然科学基金;

关键词：

multi-agent system; dynamic evolution; task decomposition; collaboration;

D O I：

暂无

中图分类号：

F49 [信息产业经济]; TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1201 ; 1405 ;

摘要：

As the ability of a single agent is limited while information and resources in multi-agent systems are distributed, cooperation is necessary for agents to accomplish a complex task. In the open and changeable environment on the Internet, it is of great significance to research a system flexible and capable in dynamic evolution that can find a collaboration method for agents which can be used in dynamic evolution process. With such a method, agents accomplish tasks for an overall target and at the same time, the collaborative relationship of agents can be adjusted with the change of environment. A method of task decomposition and collaboration of agents by improved contract net protocol is introduced. Finally, analysis on the result of the experiments is performed to verify the improved contract net protocol can greatly increase the efficiency of communication and collaboration in multi-agent system.

引用

页码：2629 / 2637

页数：9

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