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基于最低限度多代理模型的社会观念形成机制
引用本文:栾瑞,黄沛,牛志勇.基于最低限度多代理模型的社会观念形成机制[J].系统管理学报,2012,21(4):525-530.
作者姓名:栾瑞  黄沛  牛志勇
作者单位:1. 上海交通大学安泰经济与管理学院,上海,200052
2. 复旦大学管理学院,上海,200433
3. 上海财经大学国际工商管理学院,上海,200433
基金项目:国家自然科学基金资助项目
摘    要:通过构建基于沟通和自组织的最低限度多代理模型来描述社会观念的形成、传播和影响机制。以复杂系统代理理论和信息理论方法为基础,构建时空沟通域主方程模型,并通过计算机仿真和平均域的方法,研究发现,在影响社会观念稳态结构的因素中,社会分歧参数、社会温度、意见领袖和外部域的附加影响均存在临界值;较快的信息传播速度和适当的社会温度有助于系统达到稳定状态;意见领袖或外部影响作用可以对代理行为产生重要影响,在系统中形成多数派。

关 键 词:复杂系统  沟通  自组织  多代理模型

A Study on the Formation Mechanism of Social Concepts Using the Multi-agents System Model
LUAN Rui , HUANG Pei , NIU Zhi-yong.A Study on the Formation Mechanism of Social Concepts Using the Multi-agents System Model[J].Systems Engineering Theory·Methodology·Applications,2012,21(4):525-530.
Authors:LUAN Rui  HUANG Pei  NIU Zhi-yong
Institution:1.Antai College of Economics & Management,Shanghai Jiaotong University, Shanghai 200052,China;2.School of Management,Fudan University, Shanghai 200433,China;3.School of International Business Administration, Shanghai University of Finance & Economics,Shanghai 200433,China)
Abstract:We analyze the mechanism of formation,diffusion and influence of social opinions using the minimal multi-agents system(MAS) model that is based on communication and self-organization.Using agent theory of complex system and information-theoretic approach,we construct a main equation model of the spatial-temporal communication field.We then analyze the complicating factors forming the society system and the influence of their interaction on MAS,and use computer simulation and mean-field to explore the critical conditions and relevant factors for reaching the stable states such as social bifurcation parameter,information diffusion speed,social temperature,opinion leaders and the additional influence of external fields.We also found that fast information transmission and appropriate social temperature support a stable system,and opinion leaders and the additional influence have a significant impact on the agent’s behavior.
Keywords:complex system  communication  self-organization  multi-agents system model
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