Gérard Weisbuch

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We present a model of opinion dynamics where agents adjust continuous opinions on the occasion of random binary encounters whenever their difference in opinion is below a given threshold. High thresholds yield convergence of opinions towards an average opinion, but low thresholds result in several opinion clusters: members of the same cluster share the same(More)
The immune system is a complex system of cells and molecules that can provide us with a basic defense against pathogenic organisms. Like the nervous system, the immune system performs pattern recognition tasks, learns, and retains a memory of the antigens that it has fought. The immune system contains more than 107 different clones of cells that communicate(More)
We present a model of opinion dynamics in which agents adjust continuous opinions as a result of random binary encounters whenever their difference in opinion is below a given threshold. High thresholds yield convergence of opinions toward an average opinion, whereas low thresholds result in several opinion clusters. The model is further generalized to(More)
We present a model of opinion dynamics in which agents adjust continuous opinions as a result of random binary encounters whenever their di erence in opinion is below a given threshold. High thresholds yield convergence of opinions towards an average opinion, whereas low thresholds result in several opinion clusters. The model is further generalised to(More)
In the so-called bounded confidence model proposed by Deffuant et al, agents can influence each other’s opinion provided that opinions are already sufficiently close enough. We here discuss the influence of possible social networks topologies on the dynamics of this model. PACS. 89.65 s 89.75 Fb
The present study was motivated by the question of adoption of agri-environmental measures (to be further noted AEM) by farmers in Europe. The European Union is presently proposing nancial help to farmers who accept to modify their agricultural practices towards environmentally friendly practices such as input (fertilisers and pesticides) reduction,(More)
A formalism based on window automata is proposed as a method to analyse complex population dynamics. The method is applied to a model of the immune network (Weisbuch, G.et al., 1990.J. theor. Biol. 146, 483-499), and used to predict which attractor the system reaches after antigenic stimulation, as a function of the parameters. The attractors of the(More)
Jerne's idiotypic network was previously modelled using simple proliferation dynamics and a homogeneous tree as a connection structure. The present paper studies analytically and numerically the genericity of the previous results when the network connection structure is randomized, e.g., with loops and varying connection intensities. The main feature of the(More)