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基于公共知识的电子市场定价算法
引用本文:韩伟,王云,王成道,白治江.基于公共知识的电子市场定价算法[J].计算机应用,2005,25(8):1833-1835.
作者姓名:韩伟  王云  王成道  白治江
作者单位:华东师范大学,计算机科学与技术系,上海,200062;临沂师范学院,信息学院,山东,临沂,276000
基金项目:国家863计划资助项目(2002AA134020-04)
摘    要:研究了电子市场定价博弈中公共知识的作用,通过简单地改变市场需求函数和市场分配函数,使卖方Agent获得了多Agent作用下的不断改变着的环境知识,而不再是关于市场需求的个体知识。仿真实验表明,通过获得关于市场需求的公共知识,卖方Agent可以协调彼此的价格行为,在合作还是竞争问题上表现出更长远的群体智能行为,从而提高了市场配置资源的有效性。

关 键 词:智能Agent  电子市场  动态定价  博弈论
文章编号:1001-9081(2005)08-1833-03

Common knowledge-based pricing algorithm in electronic marketplaces
HAN Wei,WANG Yun,WANG Cheng-dao,BAI Zhi-jiang.Common knowledge-based pricing algorithm in electronic marketplaces[J].journal of Computer Applications,2005,25(8):1833-1835.
Authors:HAN Wei  WANG Yun  WANG Cheng-dao  BAI Zhi-jiang
Affiliation:1.Department of Computer Science and Technology, East China Normal University,Shanghai 200062,China; 2.Information College,Linyi Normal University,Linyi Shandong 276000,China)
Abstract:The role of common knowledge of pricing game in electronic marketplaces was studied. By simply changing the demand function and allocation function, seller Agents can acquire the common knowledge about the constantly changing market, rather than inferred individual knowledge. Simulation results indicated that seller Agents tends to be more coordinated in their pricing behaviour and became more intelligent in concerning the problem of whether to cooperate or compete in a long term. Results also shows that common knowledge can improve market effectiveness.
Keywords:intelligent Agent                                                                                                                        electronic marketplaces                                                                                                                        dynamic pricing                                                                                                                        game theory
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