The notion of the infinite population limit of large population games where agents are
realized by controlled stochastic dynamical systems is introduced. The theory of infinite …

We consider the problem of representing collective behavior of large populations and
predicting the evolution of a population distribution over a discrete state space. A discrete …

The media plays an important role in the process of opinion evolution. It can promote the
spread of opinions and make netizens reach consensus towards the specific topic. To study …

The dominanceof social networks has advanced immensely as many users become more
dependent on these networks to be able to engage on social discussions and activities. The …

Bayesian learning is a rational and effective strategy in the opinion dynamic process. In this
paper, we theoretically prove that individual Bayesian learning can realize asymptotic …

Recently, the study of opinion dynamics on complex networks has attracted a great deal of
attention. In this brief, we take an interest in how an opinion forms in a social network with …

As emphasized by the recent pandemic crisis, the design of coherent policies against
epidemic propagation is of major importance and required to model both epidemic …

What is the emergent long-run equilibrium of a society, where many interacting agents bet
on the optimal energy to put in place in order to climb on the Bandwagon? In this paper, we …

The design of coherent and efficient policies to address infectious diseases and their
consequences requires to model not only epidemics dynamics, but also individual …

We introduce multi-population opinion dynamics models linked to the bounded confidence
model, aiming to explore how interactions between individuals contribute to the emergence …