Research on Intelligent Manufacturing System Based on Multi-Agent

被引:0
作者
Guo, Qinglin [1 ,2 ]
Zhang, Ming [2 ]
机构
[1] N China Elect Power Univ, Sch Comp Sci & Technol, Beijing 102206, Peoples R China
[2] Peking Univ, Dept Comp Sci & Technol, Beijing 100871, Peoples R China
来源
INTELLIGENT ROBOTICS AND APPLICATIONS, PT II, PROCEEDINGS | 2008年 / 5315卷
基金
中国国家自然科学基金;
关键词
Multi-Agent; Petri net; Intelligent Manufacturing; scheduling optimization; model;
D O I
暂无
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Agent and Multi-Agent system is one of the main research directions in distributed artificial intelligence. It has been considered that the Agent technology is an important method to build the model of distributed industrial system, the most natural way to design and implement the distributed Intelligent Manufacturing environment, and one of the significant technologies to construct the manufacturing system of next generation. The manufacturing system based on Agent is the specific application of the theory and method of multi-Agent system in manufacturing domain. On the basis of briefly summarizing the technology of Agent and Multi-Agent system, the architecture of Intelligent Manufacturing System based on Multi-Agent is put forward, among which, agent represents the basic processing entity. The scheduling optimization algorithm of Intelligent Manufacturing is provided, which is feasible proved by the result of stimulation experiment. Compared with the traditional artificial scheduling, it has distinct advantages. Finally, the model of communi cation and negotiation between Agents in the Intelligent Manufacturing System is Studied, which utilizes the features of Agent such as autonomy, social interaction, response capability, preliminary capability, etc so that Intelligent Manufacturing System Could make distributed decisions. The cooperation of system is completed by communication and negotiation. During the process of interaction, Agent is endowed with a role to meet the demand of flexibility of building models in the complicated process of Intelligent Manufacturing, as well as to construct an extended frame for reusable components.
引用
收藏
页码:829 / +
页数:2
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