计算机工程与应用 ›› 2007, Vol. 43 ›› Issue (25): 11-14.

• 博士论坛 • 上一篇    下一篇

基于Agent的用户偏好决策模型及其应用

张 成,魏法杰,贾素玲   

  1. 北京航空航天大学 经济管理学院 信息管理与信息系统专业,北京 100083
  • 收稿日期:1900-01-01 修回日期:1900-01-01 出版日期:2007-09-01 发布日期:2007-09-01
  • 通讯作者: 张 成

User preference decision model based on agent and its application

ZHANG Cheng,WEI Fa-jie,JIA Su-ling   

  1. Department of Management Science and Economics,Beihang University,Beijing 100083,China
  • Received:1900-01-01 Revised:1900-01-01 Online:2007-09-01 Published:2007-09-01
  • Contact: ZHANG Cheng

摘要: 智能体及其组成的智能体系统是人们解决用传统方法难以解决的复杂问题的一个新途径,以复杂适应系统、智能体系统等理论为指导,吸取了智能体强化学习的基本原理,提出了一种基于智能体的用户偏好决策模型,并将其成功应用在互联网搜索中,不仅提高了搜索的质量,同时具有一定的创新性。

关键词: 智能体, 强化学习, 偏好决策

Abstract: Agent system is a new method for resolving complex problems that traditional approaches are hard to resolve.According to complex adaptive system and agent system theories,the article provides a user preference decision model based on agent and reinforcement learning principle.The model is applied in internet research area which not only improve the quality of research but also earn its innovation value.

Key words: agent, reinforcement learning, preference decision