基于案例匹配度的Agent劝说机制  

Agent persuasion mechanism based on its matching degree of case

作　　者：伍京华[1] 张新刚[2] 孟海亮[3] 

机构地区：[1]中国矿业大学(北京)管理学院,北京100083 [2]南阳师范学院计算机与信息技术学院,河南南阳473061 [3]北京信息科技大学经济管理学院,北京100192

出　　处：《计算机工程与应用》2010年第35期235-237,248,共4页Computer Engineering and Applications

基　　金：中央高校基本科研业务费资助(No.2009QG03);河南省教育厅自然科学研究项目资助(No.2009B520023);2010年度科研水平提高项目资助(No.5028123500)~~

摘　　要：自动谈判中的Agent劝说能充分提高其在动态环境下的谈判效率,保证谈判效果,同时极大节约谈判成本。案例推理技术能使Agent将谈判中遇到的新案例与以往成功案例进行比对,根据结果做出较优的选择,从而促使Agent之间取得更佳的合作效果。对Agent劝说中的案例匹配度的概念进行了界定;结合形式逻辑理论,建立了基于案例匹配度的Agent劝说模型,并通过举例对模型进行了阐述;提出了模型中关键指标的计算方法,并通过算例进一步给出了相应的评价体系和交互机制;最后进行了验证,实现了基于案例匹配度的Agent劝说机制的构建。实验结果表明,该机制能有效减少系统开销。Agent persuasion of automation negotiation can improve the efficiency of negotiation enough at dynamic environ-ment,which can guarantee its effect and save its cost greatly.Case-Based Reasoning（CBR） can make agent comparing the new case that meets in negotiation with the successful case in its case databaset,hen make the better selection according with it,which can bring multi-agent to cooperate well.The definition of matching degree of case in agent persuasion is given.Based on itr,elative model is constructed with formal logic theory,which is illustrated by an example.The method of calcula-tion about key index in this model is givena,nd relevant evaluation system and interactive mechanism is also proposed.Final-ly agent persuasion mechanism based on its matching degree of case is built and verified by another example.Results show that this mechanism can decrease the cost of this system effectively.

关 键 词：劝说机制 匹配度 案例 

分 类 号：TP315[自动化与计算机技术—计算机软件与理论] TP181[自动化与计算机技术—计算机科学与技术]