协商僵局的消解策略研究  

Strategy for solving multi-issue negotiations deadlock

作　　者：王黎明[1] 沈扬[1] 

机构地区：[1]郑州大学信息工程学院,郑州450002

出　　处：《计算机应用》2010年第6期1519-1522,共4页journal of Computer Applications

摘　　要：针对多议题协商中的僵局问题,提出了一个基于议题权值的优化策略。利用学习机制预测对手议题权值,并考虑多议题协商中各议题之间的相关性,在保证协商参与者利益的前提下,根据议题的权值,有针对性地调整议题预保留值的取值,从而能够打破僵局,并快速消解协商僵局,促使协商双方得到合理协商解,使得协商效率大大提高。To solve the problem of deadlock in multi-issue negotiation,an optimization strategy was presented.This paper adopted a learning method to estimate opponents＇ preferences of their negotiation issue,and gave full consideration to the issue dependencies.Considering the weight value of the opponent,the reserved value of some issues were adjusted accordingly to solve the deadlock problem quickly and efficiently,and at the same time the negotiation participants could get a reasonable solution.The results prove that the efficiency of the whole negotiation process improves greatly.

关 键 词：多议题协商 僵局 学习机制 权值 优化策略 

分 类 号：TP18[自动化与计算机技术—控制理论与控制工程]