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一种新的多主体学习方法 被引量：2

A New Approach of Learning in Multi-agent System
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摘要 提出了一种在大型复杂的多主体系统中逐步改进个体与群体问题求解能力的学习方法——基于基组织结构的共识学习方法 .通过该方法 ,各主体能够针对某一领域问题交换意见 ,分别扩充或修改各自原有的知识 ,直到达成共识 。 A consensus learning approach based on Bansic Organization Structure (BOS) is proposed in this paper,which can improve problem solving abilities of both individual agents and overall system in large and complex multi agent systems.Through this learning approach,each agent can exchange their ideas about the domain problem,augment or modify their original knowledge until they conclude a consensus,Finally,how the abilities of individual agents and overall system are improved through consensus learning is described in detail by an example.
作者 王长缨 姚莉 张维明 陈文伟 龚勇
机构地区 国防科技大学管理科学与工程系
出处 《小型微型计算机系统》 CSCD 北大核心 2003年第3期345-347,共3页 Journal of Chinese Computer Systems
基金 国家自然科学基金 (项目编号 7980 0 0 0 7)资助
关键词 多主体学习方法 分布式人工智能 机器学习 多主体系统 multi agent learning organization consensus negotiation
分类号 TP18 [自动化与计算机技术—控制理论与控制工程]
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参考文献3

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二级参考文献3

共引文献2

同被引文献16

  • 1陈卓,孟庆春,魏振钢.基于群体智能理论的聚类模型及优化算法[J].计算机工程,2005,31(4):34-36. 被引量：8
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小型微型计算机系统
2003年 第3期

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