Abstract: Simulating the automatic negotiation between enterprises in supply chain by the multi-agent system is one of the critical technologies to realize intelligence business. This paper first describes the negotiation process in a fixed format. Based on analyzing the predecessor’s price strategy model and value confirmation of the correlation parameters, the authors develop a new price strategy negotiation model using different probability density functions imitating different price strategy, and analyze the value confirmation and actual meaning of the parameters in the function. During the process of price negotiation, the aothors determine the agent’s strategy by its next expectation price and reservation price, and also take the adversary’s price into account, which makes the negotiation process consistent with the phenomenon of “argy-bargy” in real life. The authors finally analyze and validate the practicability and rationality of the model by the numerical examples.

Key words: multi-agent, virtual enterprise, negotiation model, price strategy, probability density function

摘要： 利用多智能体模拟供应链中企业自动报价协商是智能商务得以实现的关键技术之一。本文对多主体的协商过程进行了形式化描述；在分析前人出价策略模型及相关参数确定的基础上，利用不同概率密度函数模拟各主体的不同出价策略，构造了一种新的出价策略协商报价模型；对概率密度函数中各参数的有关确定和实际意义进行了分析；主体在价格协商过程中，用自身的下一步期望出价和保留价格确定自身报价策略，同时还考虑了对手报价情况，使价格协商过程与现实中的“讨价还价”现象一致。最后通过实际算例对模型的实用性和合理性进行了分析和验证。

关键词: 多智能体, 虚拟企业, 协商模型, 报价策略, 概率密度函数