An agent based model of opinion dynamics using the anchoring and adjustment heuristic

Abstract

In opinion dynamics models such as bounded confidence models, agents employ relatively sophisticated rules for updating their opinions. This paper presents an opinion dynamics model where agents use a cognitively simpler anchoring and adjustment heuristic. Results show that even with simpler rules, convergence and clustering of opinions emerge.