%0 Journal Article
%T A concurrent negotiation model with automated learning capability<br>一种具有自主学习能力的并发协商模型
%A ZHANG Qian
%A QIU Yu-hui
%A <br>张谦
%A 邱玉辉
%J 计算机应用
%D 2006
%I 
%X A concurrent negotiation model with automated learning capability was developed in trading environments. By using Q-learning algorithm to propose own proposal and similarity criteria to evaluate the opposing party's proposal, agents can participate in concurrent multi-issue negotiation in semi-competitive situations in which there exists information uncertainty and deadlines. This model enables the negotiation more effective.
%K concurrent negotiation
%K automated negotiation
%K reinforcement leaming
%K Q-learning
%K similarity criteria<br>并发协商
%K 自动协商
%K 增强学习
%K Q学习
%K 相似度方法
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=831E194C147C78FAAFCC50BC7ADD1732&aid=FDDD3D3A22813AEF&yid=37904DC365DD7266&vid=96C778EE049EE47D&iid=38B194292C032A66&sid=46FF101E7ECF9F15&eid=E7A4027472718CB3&journal_id=1001-9081&journal_name=计算机应用&referenced_num=3&reference_num=10