| 基于多议题协商的贝叶斯学习 |
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| 引用本文： | 王娟,柴玉梅.基于多议题协商的贝叶斯学习[J].微机发展,2006,16(2):154-156. |
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| 作者姓名： | 王娟 柴玉梅 |
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| 作者单位： | 郑州大学信息工程学院 河南郑州450052 |
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| 基金项目： | 河南省自然科学基金资助项目(0211050110) |
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| 摘 要： | 随着Internet的日益完善和电子商务的普及,如何快速、高效地进行agent协商学习是必须面对和解决的一个重要问题。文中从买方agent的观点出发,在协商过程中采用贝叶斯学习机制进行在线更新对方agent的信念,从而缩短了协商时间,提高了协商效率,并实验说明了其可行性。
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| 关 键 词： | agent协商 贝叶斯 在线学习 多议题 |
| 文章编号： | 1005-3751(2006)02-0154-03 |
| 修稿时间： | 2005年5月23日 |
A Bayesian Learning Based on Multi-Issues Negotiation |
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| WANG Juan,CHAI Yu-mei.A Bayesian Learning Based on Multi-Issues Negotiation[J].Microcomputer Development,2006,16(2):154-156. |
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| Authors: | WANG Juan CHAI Yu-mei |
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| Abstract: | With the development of Internet and the popularization of EC,how to solve the agent negotiation learning problem is an important problem.In this paper,stated the viewpoints from the respective of the buyer agent firstly.In negotiation process,used Bayesian learning to update initial belief of the opponent through the online learning.Sequentially could shorten negotiation time and advance negotiation efficiency.Moreover,testified the feasibility by experiment. |
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| Keywords: | agent negotiation Bayesian online learning multi-issues |
| 本文献已被 CNKI 等数据库收录！ |
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