基于公共知识的电子市场定价算法  

Common knowledge-based pricing algorithm in electronic marketplaces

作　　者：韩伟[1] 王云[2] 王成道[1] 白治江[1] 

机构地区：[1]华东师范大学计算机科学与技术系,上海200062 [2]临沂师范学院信息学院,山东临沂276000

出　　处：《计算机应用》2005年第8期1833-1835,共3页journal of Computer Applications

基　　金：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。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.

关 键 词：智能AGENT 电子市场 动态定价 博弈论 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]