A Hybrid Model of Opinion Dynamics With Memory-Based Connectivity

被引：7
|
作者：
Mariano, S. [1 ]
Morarescu, I. C. [1 ]
Postoyan, R. [1 ]
Zaccarian, L. [2 ,3 ]
机构：
[1] Univ Lorraine, CNRS, CRAN, F-54000 Nancy, France
[2] Univ Toulouse, LAAS CNRS, CNRS, F-31400 Toulouse, France
[3] Univ Trento, Dept Ind Engn, I-38122 Trento, Italy
来源：
IEEE CONTROL SYSTEMS LETTERS | 2020年 / 4卷 / 03期
关键词：
Adaptation models; Social network services; Stability criteria; Simulation; Asymptotic stability; Multi-agent systems; Agents-based systems; stability of hybrid systems; Lyapunov methods; opinion dynamics; CONSENSUS; NETWORKS;
D O I：
10.1109/LCSYS.2020.2989077
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
Given a social network where the individuals know the identity of the other members, we present a model of opinion dynamics where the connectivity among the individuals depends on both their current and past opinions. Thus, their interactions are not only based on the present states but also on their past relationships. The model is a multi-agent system with active or inactive pairwise interactions depending on auxiliary state variables filtering the instantaneous opinions, thereby taking the past experience into account. When an interaction is (de)activated, a jump occurs, leading to a hybrid model. The proven stability properties ensure that opinions converge to local agreements/clusters as time grows. Simulation results are provided to illustrate the theoretical guarantees.
引用
收藏
页码：644 / 649
页数：6
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