多Agent自动协商策略和算法

针对传统协商过程周期长、代价高的问题,提出了三类形式化的曲线簇来描述Agent所采取的协商策略以及一种数学化和计算机程序化的多Agent自动协商算法。这三类策略分别为急躁型、节俭型和折中型。通过实验模拟发现采用所提出的协商策略和算法更符合人类思维的直观。该方法可应用于多种电子商务交易（如B2B和B2C）等活动中。

Strategy and algorithm for automated negotiations between multi-agent

To solve the problems of long processes and high cost for traditional negotiations,three kinds of formulized curve clusters were presented to describe strategies which were adopted by Agents in negotiations.The strategies were named anxious,economical and eclectic.An automated negotiating algorithm was also proposed,which was an integration of the strategies both in mathematics and computer programming.And then two examples were used to test negotiating strategy and proposed algorithm.Experiments show that the proposed negotiating strategy and algorithm are more conformable to human's intuitive thinking than Pillatt's.The automated negotiating strategy and algorithm may find many applications in e-Business transactions,such as B2B and B2C.