基于Agent和博弈分析的B2B协商系统模型研究

Research on Negotiated System Model in B2B Based on Agent and Game Theory

针对B2B电子商务在交易自动化和智能化方面的不足,提出了一种融合多Agent和鲁宾斯坦讨价还价博弈的B2B电子商务协商系统模型。在多Agent环境下,该系统可以降低网络的通信流量,提高交易效率,实现交易的自动化和智能化;鲁宾斯坦讨价还价博弈为协商系统提供了具体的协商策略。对B2B协商系统模型的协商流程、协商算法以及协商结果进行了讨论。

Aiming at the problem of automation and intelligence of bargaining in B2B e-commerce, the paper proposed a B2B e-commerce negotiated system model based on agent technology and Rubinstein Bargaining game theory. In the Multi-Agent context, network communication traffic can be reduced, transaction efficiency can be improved and atomiza- tion and intelligentization can he realized. The R.ubinstein Bargaining game provides a concrete negotiated policy for the system model. The paper also discussed the negotiated flow, negotiated algorithm and negotiated result of the system model.