A Mixed Logical Dynamical Model of the Hegselmann-Krause Opinion Dynamics

被引：11

作者：

Bernardo, C. ^{[1
]}

Vasca, F. ^{[1
]}

机构：

[1] Univ Sannio, Dept Engn, I-82100 Benevento, Italy

来源：

IFAC PAPERSONLINE | 2020年 / 53卷 / 02期

关键词：

Opinion dynamics; social networks; multi-agent systems; Hegselmann-Krause model; mixed logical dynamical models; consensus; NETWORKS; CONSENSUS; STABILITY; TUTORIAL; SYSTEMS;

D O I：

10.1016/j.ifacol.2020.12.952

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

The heterogeneous bounded confidence Hegselmann-Krause (HK) model has been widely considered in the literature for describing opinion dynamics. In this paper a mixed logical dynamical (MLD) representation of the HK model is proposed. The linear MLD model provides a compact representation where the different thresholds of the agents influence functions explicitly appear into the model inequalities. Numerical experiments of the proposed model are used to analyze how consensus and clustering are influenced by different agents confidence bounds. Copyright (C) 2020 The Authors.

引用

收藏

页码：2826 / 2831

页数：6

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