%0 Journal Article
%T Intelligent order online negotiation model with incomplete information of opponent<br>基于对手不完全信息的订单在线智能协商模型
%A NING Hong-yun
%A LIU Jin-lan
%A ZHANG De-gan
%A <br>宁红云
%A 刘金兰
%A 张德干
%J 计算机应用
%D 2009
%I 
%X For the problem of high delay rate and high failure rate of order online negotiation, based on Zeuthen Strategy, a novel multistage multilateral co-evolution algorithm was proposed. The algorithm applied a new role of agent called coordinator (CO) to effectively control the multilateral negotiation process, and caught the optimal extent of concession with Bayesian Learning by gradually amending the probability distribution of opponent's reserve-price valuation-vector and dynamically adjusting ones own business bid-curve. Combining the synchronous kicking-out mechanism, invalid consultation was avoided. The experimental results show the proposed method sufficiently captures the opponent's information to help agents duly update their belief, and the utility of negotiation behavior is obviously improved.
%K intelligent negotiation
%K Bayesian learning
%K Zeuthen strategy
%K forced synchronization
%K multi-agent<br>智能协商
%K 贝叶斯学习
%K Zeuthen策略
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=831E194C147C78FAAFCC50BC7ADD1732&aid=6F4C3EAC12A8D18AFFB9CC3EA6BF4E59&yid=DE12191FBD62783C&vid=771469D9D58C34FF&iid=CA4FD0336C81A37A&sid=78F0EFE028BD3783&eid=878691FB3644BA21&journal_id=1001-9081&journal_name=计算机应用&referenced_num=0&reference_num=9