面向电子商务的基本遗传算法的Agent 谈判模型

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.

Multi-agent negotiation model based on genetic algorithm in E-business

The objective of this paper is to probe into the application of the genetic algorithm and the agent technol2 ogy 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. Further2 more , 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 ne2 gotiation strategies during the process of negotiation.