International audienceWe analyse the generalized Hegselmann-Krause model of opinion dynamics. The asymptotic state of such a system has been well studied in the literature, however the transient state is still poorly understood. Predicting which groups of agents will form clusters remains to be studied. We present sufficient conditions to detect cluster formation in the transient phase of the multi-agent system. We also give a procedure to know how much time a cluster stays consistent, i.e., before it merges with other agents in the system. Our criterion can be computed locally using variables obtained from the initial conditions. Finally our results are illustrated by a numerical example
Abstract — We consider multi-dimensional Hegselmann-Krause model for opinion dynamics in discrete-ti...
We study a simple model of public opinion formation that posits that in-teraction between neighbouri...
abstract: We investigate the long time behavior of models of opinion formation. We consider the case...
The dynamics of the model of agents with limited confidence introduced by Hegselmann and Krause exhi...
We consider the opinion consensus problem using a multi-agent setting based on the Hegselmann-Krause...
We study a simple continuous-time multi-agent system related to Krause’s model of opinion dynamics: ...
We study a simple continuous-time multi-agent system related to Krause’s model of opinion dynamics: ...
We study a simple continuous-time multiagent system related to Krause's model of opinion dynamics: e...
This manuscript is partitioned in three parts. The first one is written in French and contains an ex...
We present several possible extensions of a model of opinion dynamics in which each agent adjusts a ...
We study a model of opinion dynamics introduced by Krause: each agent has an opinion represented by ...
In complex systems, agents often interact with others in two distinct types of interactions, pairwis...
Abstract — We consider the opinion consensus problem using a multi-agent setting based on the Hegsel...
Opinion dynamics expressed by the bounded confidence discrete-time heterogeneous Hegselmann–Krause m...
We introduce a model of mutually attracting agents in an arbitrary network, for which the long term ...
Abstract — We consider multi-dimensional Hegselmann-Krause model for opinion dynamics in discrete-ti...
We study a simple model of public opinion formation that posits that in-teraction between neighbouri...
abstract: We investigate the long time behavior of models of opinion formation. We consider the case...
The dynamics of the model of agents with limited confidence introduced by Hegselmann and Krause exhi...
We consider the opinion consensus problem using a multi-agent setting based on the Hegselmann-Krause...
We study a simple continuous-time multi-agent system related to Krause’s model of opinion dynamics: ...
We study a simple continuous-time multi-agent system related to Krause’s model of opinion dynamics: ...
We study a simple continuous-time multiagent system related to Krause's model of opinion dynamics: e...
This manuscript is partitioned in three parts. The first one is written in French and contains an ex...
We present several possible extensions of a model of opinion dynamics in which each agent adjusts a ...
We study a model of opinion dynamics introduced by Krause: each agent has an opinion represented by ...
In complex systems, agents often interact with others in two distinct types of interactions, pairwis...
Abstract — We consider the opinion consensus problem using a multi-agent setting based on the Hegsel...
Opinion dynamics expressed by the bounded confidence discrete-time heterogeneous Hegselmann–Krause m...
We introduce a model of mutually attracting agents in an arbitrary network, for which the long term ...
Abstract — We consider multi-dimensional Hegselmann-Krause model for opinion dynamics in discrete-ti...
We study a simple model of public opinion formation that posits that in-teraction between neighbouri...
abstract: We investigate the long time behavior of models of opinion formation. We consider the case...