Social norms have been investigated across many disciplines for many years, but until
recently, studies mainly provided indirect, implicit and correlational support for the role of …

Transition modelling is an emerging but growing niche within the broader field of
sustainability transitions research. The objective of this paper is to explore the characteristics …

The utility of our actions frequently depends upon the beliefs and behavior of other agents.
Thankfully, through experience, we learn norms and conventions that provide stable …

In the first part of the paper, the field of agent-based modeling (ABM) is discussed focusing
on the role of generative theories, aiming at explaining phenomena by growing them. After a …

This article looks at 20 years of applications of agent‐based models (ABMs) in sociology
and, in particular, their explanatory achievements and methodological insights. These …

Drawing on contemporary work that traces cognition to embodiment, we present a model of
cognition in organisations. In so doing, we add a middle ground to previous models: far from …

Using psychological theory in agent formalisations is relevant to capture behavioural
phenomena in simulation models (Enhance Realism Of Simulation-EROS). Whereas the …

The Covid-19 pandemic has brought challenges to the educational system on micro, meso
or macro levels. In this article, we posit that the current emergency augmented, what we call …

From an early age, humans exhibit a tendency to identify, adopt, and enforce the norms of
their local communities. Norms are the social rules that mark out what is appropriate …

Public policies are designed to have an impact on particular societies, yet policy-oriented
computer models and simulations often focus more on articulating the policies to be applied …