Agent-Based Models for Opinion Formation: A Bibliographic Survey

被引:36
|
作者
Mastroeni, Loretta [1 ]
Vellucci, Pierluigi [1 ]
Naldi, Maurizio [2 ,3 ]
机构
[1] Roma Tre Univ, Dept Econ, I-00145 Rome, Italy
[2] Univ Roma Tor Vergata, Dept Civil Engn & Comp Sci, I-00133 Rome, Italy
[3] LUMSA Univ, Dept Law Econ Polit & Modern Languages, I-00192 Rome, Italy
关键词
Agent-based modeling; decentralized control; multi-agent systems; opinion dynamics; BOUNDED CONFIDENCE OPINION; HEGSELMANN-KRAUSE MODEL; SOCIAL NETWORKS; KINETIC-MODELS; MULTIAGENT SYSTEMS; DYNAMICS; CONSENSUS; EVOLUTION; POWER; CONVERGENCE;
D O I
10.1109/ACCESS.2019.2913787
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Agent-based models are now largely adopted to describe how opinions emerge in a group of people. This survey provides an analysis of the literature on the subject, highlighting the major characteristics of such models. Over the last decade, the number of papers has grown at an overall annual rate of 16%, though not continually. Two communities contribute to the research effort: physics and control systems. However, their mutual awareness and collaboration are rather low. The prevailing mechanism adopted to describe the interaction among the agents is bilateral, but not symmetric. In most cases, the opinion is described by a continuous variable. Just a few papers consider a utility function for the agents.
引用
收藏
页码:58836 / 58848
页数:13
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