Modelling is often confronted with scaling problems, because modelling—directly or
indirectly—always implies scaling. This is because models simplify. Simplification usually …

Agent-based models (ABMs) are an increasingly popular choice for simulating large
systems of interacting components, and have been applied across a wide variety of natural …

Abstract System-of-systems approaches for integrated assessments have become prevalent
in recent years. Such approaches integrate a variety of models from different disciplines and …

Agent-based models (ABMs) can be found across a number of diverse application areas
ranging from simulating consumer behaviour to infectious disease modelling. Part of their …

In this paper, we have estimated the parameters of 41 simulation models to find which of 9
estimation algorithms performs better. Unfortunately, no single algorithm was the best for all …

Spatiotemporal models that account for heterogeneity within microbial communities rely on
single-cell data for calibration and validation. Such data, commonly collected via microscopy …

Airport terminals are complex sociotechnical systems, in which humans interact with diverse
technical systems. A natural way to represent them is through agent-based modeling …

The growing number of end-of-life (EOL) wind blades could further strain US landfills or be a
valuable composite materials source, depending on stakeholders' behaviors. Technical …

Migration is one of the most, if not the most uncertain of the major demographic processes. A
complex network of interacting drivers and factors, coupled with a key role of human agency …

Governments worldwide are setting ambitious targets for offshore renewable energy
development (ORD). However, deployment is constrained by a lack of understanding of the …