基于Agent系统再励学习的应用  

THE APPLY RESEARCH OF THE REINFORCEMENT LEARNING ON BASIS OF AGENT SYSTEM

作　　者：郭颂[1] 李朝纯[2] 杨开英[2] 

机构地区：[1]信阳师范学院计算机科学系,河南信阳464000 [2]武汉理工大学计算机科学与技术学院,湖北武汉430070

出　　处：《计算机应用与软件》2005年第4期67-69,共3页Computer Applications and Software

摘　　要：本文介绍了Agent组织规则及再励学习的理论,给出了一种基于再励学习的Agent组织规则生成机制和相应的算法。从而得出结论Agent组织规则在求解过程中起着重要的作用,可以有效地减少冲突,提高求解效率。The article firstly introduced the theories of the organization rule of Agent and reinforcement learning,it mentioned a generation's mechanisms and algorithms of the organization rule of Agent on basis of the reinforcement learning.Finally,draw a conclusion:the organization rule of Agent acted on an important action during the solving question,it could effectively cut down the conflict and advance the efficiency of the solving question.

关 键 词：再励学习 AGENT系统 Agent组织规则 应用 生成机制 求解过程 求解效率 算法 

分 类 号：TP18[自动化与计算机技术—控制理论与控制工程] U491.51[自动化与计算机技术—控制科学与工程]