| 一种协商在线增量学习算法及其在基于智能体的电子商务中的应用 |
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| 引用本文： | 景博,李剑,钱越英.一种协商在线增量学习算法及其在基于智能体的电子商务中的应用[J].计算机工程与应用,2005,41(2):136-137,160. |
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| 作者姓名： | 景博 李剑 钱越英 |
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| 作者单位： | 北京应用气象研究所,北京,100029;北京理工大学计算机系,北京,100081 |
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| 摘 要： | 随着多智能体系统MAS的迅猛发展,常常需要进行在线的协商。然而由于协商中不完全信息的存在,常常会大大影响协商的效果。该文提出一种多智能体协商中的动态在线增量学习算法,采用Q-学习机制来学习agent协商中的不完全信息。该文将这种学习算法应用基于智能体agent的电子商务中。实验证明算法可以加速协商的过程,提高协商的效果。
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| 关 键 词： | 多智能体系统 协商 增量学习 |
| 文章编号： | 1002-8331-(2005)02-0136-02 |
On-line Dynamic Incremental Learning in MAS Negotiation and Its Application in E-commerce |
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| Jing bo,Li Jian,Qian Yueying.On-line Dynamic Incremental Learning in MAS Negotiation and Its Application in E-commerce[J].Computer Engineering and Applications,2005,41(2):136-137,160. |
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| Authors: | Jing bo Li Jian Qian Yueying |
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| Affiliation: | Jing Bo 1 Li Jian 2 Qian Yueying 11 |
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| Abstract: | With the rapid development of MAS,the on-line negotiation is needed urgently.But because of the incom-plete information,the negotiation is rather inefficient.In this paper,an on-line dynamic incremental learning algorithm is presented to overcome this problem.The experiments demonstrate that it is very efficient. |
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| Keywords: | MAS negotiation incremental learning |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
