复杂网络上的群体决策  

Collective decision-making over complex networks

作　　者：王龙[1] 伏锋[1] 陈小杰[1] 王靖[1] 武斌[1] 楚天广[1] 谢广明[1] 

机构地区：[1]北京大学工学院,北京100871

出　　处：《智能系统学报》2008年第2期95-108,共14页CAAI Transactions on Intelligent Systems

基　　金：国家自然科学基金资助项目(60674050;60528007);国家"973"资助项目(2002CB312200);国家"863"资助项目(2006AA04Z258);"十一五"计划资助项目(A2120061303)

摘　　要：主要论述了复杂网络上群体决策的研究现状和最新进展.首先介绍了观点动力学研究中的几种基本模型,即Ising模型、投票者模型、多数决定模型和有界自信模型等.其次以这些模型为基础,讨论了小世界、无标度等复杂网络上观点动力学的研究结果,然后指出了观点动力学与语言游戏、一致性和耦合振子同步问题的联系,接着给出了笔者在观点动力学方面所做的一些相关工作,最后指出了复杂网络上群体决策的未来发展方向和一些可能的应用前景.In this paper, current theories and recent developments in collective decision making over complex networks are discussed. First, several basic models in opinion dynamics are introduced, including the Ising model, the voter model, the majority rule model, the bounded confidence model, etc. Then, based upon these models, some recent findings about opinion dynamics over complex networks such as small world and scale-free networks are discussed. Connections between opinion dynamics, language games, consensus, and synchronization of coupled oscillators are analyzed. Some original work on opinion dynamics is also presented. Finally possible future research directions and applications for collective decision making in complex networks are given.

关 键 词：复杂网络 群体决策 观点动力学 自组织行为 复杂性科学 多智能体系统 群体行为 语言游戏 

分 类 号：TP18[自动化与计算机技术—控制理论与控制工程]