CV Lattes
ORCID
Abstract
We study polarization and the formation of groups holding antagonistic opinions on a set of issues in the context of agent-based models where the agents are neural network classifiers. Agents exchange binary opinions about multidimensional issues. Several ways may drive polarization and here it is driven by adaptive affective distrust and the inclusion of irrelevant characteristics to the…