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The study of opinions $-$ e.g., their formation and change, and their effectson our society $-$ by means of theoretical and numerical models has been one ofthe main goals of sociophysics until now, but it is one of the defining topicsaddressed by social psychology and complexity science. Despite the flourishingof different models and theories, several key questions still remainunanswered. The aim of this paper is to provide a cognitively groundedcomputational model of opinions in which they are described as mentalrepresentations and defined in terms of distinctive mental features. We alsodefine how these representations change dynamically through differentprocesses, describing the interplay between mental and social dynamics ofopinions. We present two versions of the model, one with discrete opinions(voter model-like), and one with continuous ones (Deffuant-like). By means ofnumerical simulations, we compare the behaviour of our cognitive model with theclassical sociophysical models, and we identify interesting differences in thedynamics of consensus for each of the models considered.

Consensus Emerging from the Bottom-up: the Role of Cognitive Variables in Opinion Dynamics