Classification-Based Opinion Formation Model Embedding Agents’ Psychological Traits

C.A. Devia Pinzon*, G. Giordano

*Corresponding author for this work

Research output: Contribution to journalArticleScientificpeer-review

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We propose an agent-based opinion formation model characterised by a two-fold novelty. First, we realistically assume that each agent cannot measure the opinion of its neighbours about a given statement with infinite resolution and accuracy, and hence it can only perceive the opinion of others as agreeing much more, or more, or comparably, or less, or much less (than itself) with that given statement. This leads to a classification-based rule for opinion update. Second, we consider three complementary agent traits suggested by significant sociological and psychological research: conformism, radicalism and stubbornness. We rely on World Values Survey data to show that the proposed model has the potential to predict the evolution of opinions in real life: the classification-based approach and complementary agent traits produce rich collective behaviours, such as polarisation, consensus, and clustering, which can yield predicted opinions similar to survey results.
Original languageEnglish
Article number1
Number of pages40
JournalJournal of Artificial Societies and Social Simulation
Issue number3
Publication statusPublished - 2023


  • Agent-Based Social Simulation
  • Agent-Based Model
  • Opinion Formation
  • Opinion Dynamics
  • Real Data Validation

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