摘要
首先根据电子商务环境下消费者需求的特点,在对多A gen t技术论述的基础上,建立了基于多A gen t的消费者需求代理系统.接着对系统具体工作流程进行了深入分析:先针对不同消费者建立相应的用户模型,以便为不同消费者提供效用最大化的产品或产品服务的组合,然后采用协商型A gen t,完成网上产品或服务的交易.最后提出了基于遗传算法的协商谈判策略,以提高消费者需求代理系统的协商能力.
According to the characteristics of the consumer demands for pursuing relative product and service in the environment of electronic commerce, it has been firstly set up in the paper that the consumer demands proxy system which is based on muhi-agent technology. Then the system is analyzed in great details: the relevant consumer models related to variable demand of consumers on Internet have been established. And then, in order to provide products or the combination of the products with services to a great number of different demand consumers in the Web who always attempt to achieve the biggest utility, therefore a negotiating Agent is often adopted to help the business and consumers on line to complete the trade of the products or service on the Web successfully. In order to improve the consumer demand proxy system, a negotiating model based on genetic algorithm to cope'with trades in the web has already been put forward.
出处
《数学的实践与认识》
CSCD
北大核心
2005年第11期65-73,共9页
Mathematics in Practice and Theory
基金
国家自然科学基金项目(70171014)