摘要
探讨Agent技术和遗传算法在电子商务网上谈判中的应用,为网上谈判的开展提供定量和优化模型.首先对三种基于Agent的主流谈判模型进行比较研究;其次,从三个角度对谈判模型进行分类,并确定基于Agent技术的谈判系统的目标和特征;进一步研究基于遗传算法的Agent谈判模型,并对模型进行仿真实验,以证明模型的有效性.该模型的特点是Agent能在谈判过程中学习和发展新的谈判策略.
The objective of this paper is to probe into the application of the genetic algorithm and the agent technology which have been used in many areas, to the online negotiation in the e_business, as a quantitative and optimized method. Firstly, the paper compares three negotiation models based on the agent technology. Secondly, it divides negotiation models into eight ones according to a set of standards and locates the suggested model in one of them and then defines the objectives and characteristics of negotiation support systems based on the agent technology. Furthermore, the paper suggests a negotiation model using the agent and the genetic algorithm technology and simulates the model in order to validate it. The outstanding characteristic of the model is the ability of learning and developing negotiation strategies during the process of negotiation.
出处
《管理科学学报》
CSSCI
2002年第6期17-23,共7页
Journal of Management Sciences in China
基金
国家自然科学基金资助项目(79970008).
