【作者】 王海； 李一军； 侯兆湖； 佐淑红；

【Author】 WANG Hai , LI Yi - jun, HOU Zhao - hu, ZUO Shu - hong(Management School, Harbin Institute of Technology, Harbin 150001, China;Harbin Thermoelectricity Limited Company, Harbin 150030,China; Heilongjiang Water Conservancy Special School, Harbin 150080,China)

【机构】 哈尔滨工业大学管理学院； 哈尔滨热电股份有限公司； 黑龙江省水利高等专科学校；

【摘要】 随着分布式人工智能和电子商务的迅猛发展,面向电子商务的自动谈判系统正变得日益重要。自动谈判系统是利用谈判软件Agent部分或全部代替人进行网上谈判,能够提高谈判效率,降低采购和销售成本,在未来电子商务发展中将具有非常重要的作用。但是目前在实践中仍然缺乏理想的谈判策略模型。本文应用人工免疫算法设计软件Agent的谈判策略,以尽量减少人的参与,并为自动谈判系统的研究提供一种新的解决思路。更多还原

【Abstract】 With the rapid development of distributed artificial intelligence and electronic commerce, automated negotiation systems have become more and more important. Automated negotiation systems that use negotiating software agent partly or wholly to replace people to negotiate with other negotiation parties can greatly improve the efficiency of negotiation and decrease the costs of procurement and sale. And it will play very important roles in the future development of electronic commerce. But there still is lack of ideal negotiation model in the actual research. In this paper we apply artificial immune algorithm in the design of automated negotiation agent strategies so as to minimize the involvement of human beings and supply a new solution for the research of automated negotiation system.更多还原