We have a new paper out on argumentation in agent-based modelling (ABM). ABMs are essential to understanding belief and opinion dynamics in complex systems such as online social networks. But past modelling work has almost universally used only extremely simple models where agents exchange only a single numeric quantity (e.g., an „opinion) to model the dynamics of such systems.

While that is informative, the gross over simplification means that the nature of the observed dynamics differs fundamentally from that seen in real world contexts where we exchange individual arguments for our claims. 1/