Opinion dynamics for agents with opinion-dependent connections

We study a simple continuous-time multi-agent system related to Krause's model of opinion dynamics: each agent holds a real value, and this value is continuously attracted by every other value differing from it by less than 1, with an intensity proportional to the difference. We prove convergen...

Full description

Bibliographic Details
Main Authors: Tsitsiklis, John N., Hendrickx, Julien, Blondel, Vincent D.
Other Authors: Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
Format: Article
Language:en_US
Published: Institute of Electrical and Electronics Engineers (IEEE) 2012
Online Access:http://hdl.handle.net/1721.1/73145
https://orcid.org/0000-0003-2658-8239
_version_ 1826207878048907264
author Tsitsiklis, John N.
Hendrickx, Julien
Blondel, Vincent D.
author2 Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
author_facet Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
Tsitsiklis, John N.
Hendrickx, Julien
Blondel, Vincent D.
author_sort Tsitsiklis, John N.
collection MIT
description We study a simple continuous-time multi-agent system related to Krause's model of opinion dynamics: each agent holds a real value, and this value is continuously attracted by every other value differing from it by less than 1, with an intensity proportional to the difference. We prove convergence to a set of clusters, with the agents in each cluster sharing a common value, and provide a lower bound on the distance between clusters at a stable equilibrium, under a suitable notion of multi-agent system stability. To better understand the behavior of the system for a large number of agents, we introduce a variant involving a continuum of agents. We show, under some conditions, the existence of a solution to the system dynamics, convergence to clusters, and a non-trivial lower bound on the distance between clusters. Finally, we establish that the continuum model accurately represents the asymptotic behavior of a system with a finite but large number of agents.
first_indexed 2024-09-23T13:56:22Z
format Article
id mit-1721.1/73145
institution Massachusetts Institute of Technology
language en_US
last_indexed 2024-09-23T13:56:22Z
publishDate 2012
publisher Institute of Electrical and Electronics Engineers (IEEE)
record_format dspace
spelling mit-1721.1/731452022-09-28T17:13:47Z Opinion dynamics for agents with opinion-dependent connections Tsitsiklis, John N. Hendrickx, Julien Blondel, Vincent D. Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science Tsitsiklis, John N. We study a simple continuous-time multi-agent system related to Krause's model of opinion dynamics: each agent holds a real value, and this value is continuously attracted by every other value differing from it by less than 1, with an intensity proportional to the difference. We prove convergence to a set of clusters, with the agents in each cluster sharing a common value, and provide a lower bound on the distance between clusters at a stable equilibrium, under a suitable notion of multi-agent system stability. To better understand the behavior of the system for a large number of agents, we introduce a variant involving a continuum of agents. We show, under some conditions, the existence of a solution to the system dynamics, convergence to clusters, and a non-trivial lower bound on the distance between clusters. Finally, we establish that the continuum model accurately represents the asymptotic behavior of a system with a finite but large number of agents. National Science Foundation (U.S.) (grant no. ECCS-0701623) 2012-09-25T12:34:04Z 2012-09-25T12:34:04Z 2011-02 2010-12 Article http://purl.org/eprint/type/ConferencePaper 978-1-4244-7745-6 0743-1546 http://hdl.handle.net/1721.1/73145 Tsitsiklis, John N. et al. "Opinion dynamics for agents with opinion-dependent connections." Proceedings of the 2010 IEEE Conference on Decision and Control (CDC): 6626-6632. © 2010 IEEE. https://orcid.org/0000-0003-2658-8239 en_US http://dx.doi.org/ 10.1109/CDC.2010.5717828 Proceedings of the 49th IEEE Conference on Decision and Control (CDC), 2010 Article is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use. application/pdf Institute of Electrical and Electronics Engineers (IEEE) IEEE
spellingShingle Tsitsiklis, John N.
Hendrickx, Julien
Blondel, Vincent D.
Opinion dynamics for agents with opinion-dependent connections
title Opinion dynamics for agents with opinion-dependent connections
title_full Opinion dynamics for agents with opinion-dependent connections
title_fullStr Opinion dynamics for agents with opinion-dependent connections
title_full_unstemmed Opinion dynamics for agents with opinion-dependent connections
title_short Opinion dynamics for agents with opinion-dependent connections
title_sort opinion dynamics for agents with opinion dependent connections
url http://hdl.handle.net/1721.1/73145
https://orcid.org/0000-0003-2658-8239
work_keys_str_mv AT tsitsiklisjohnn opiniondynamicsforagentswithopiniondependentconnections
AT hendrickxjulien opiniondynamicsforagentswithopiniondependentconnections
AT blondelvincentd opiniondynamicsforagentswithopiniondependentconnections