机构地区: 广西大学计算机与电子信息学院
出 处: 《微电子学与计算机》 2008年第6期205-208,共4页
摘 要: 考察了在不确定条件下的双边多议题协商中对Agent的效用建模的问题,给出一个引入了不确定因素的Agent的效用函数形式,更为准确地描述了不确定条件下Agent的偏好.提出了一个不确定条件下的自动协商模型,基于遗传算法设计了协商算法.仿真实验结果表明,该模型能够降低风险,改善Agent在协商过程中的决策效果. How to model the utility of agents in multi-issue bilateral negotiation is investigated. A formula of utility function under uncertainty is presented. It describes the preference of agents under uncertainty more accurately. An automated negotiation model is provided and negotiation algorithm is designed based on genetic algorithm. The results of simulation show that the model can reduce risk and improve the decision making of agents in the negotiation process.
领 域: [自动化与计算机技术] [自动化与计算机技术]