Simulation has become, in many application areas, a sine qua non. Most recently, COVID-
19 has underlined the importance of simulation studies and limitations in current practices …

In agent-based modeling and simulation, discrete-time methods prevail. While there is a
need to cover the agents' dynamics in continuous time, commonly used agent-based …

Individuals' decision processes play a central role in understanding modern migration
phenomena and other demographic processes. Their integration into agent-based …

Since 2015 researchers in Austrian health-care research project DEXHELPP (Decision
Support for Health Policy and Planning) benefit from having access to a validated generic …

Develo** a realistic agent-based model of human migration requires particular care.
Committing too early to a specific model architecture, design, or language environment can …

The efficient continuous-time simulation of linked lives in demography implies specific
challenges. The resulting agent-based models constitute time-inhomogeneous Markov …

Dynamical models of systems across many branches of science and engineering can be
mathematically represented in terms of stochastic processes such as Markov chains, or …

Population-based CTMC models can generally be executed efficiently with stochastic
simulation algorithms (SSAs). However, the heterogeneity in agent-based models poses a …

Simulation models and simulation experiments are increasingly complex. One way to
handle this complexity is develo** software languages tailored to specific application …

This paper explores memory mechanisms in complex socio-technical systems, using a
mobility demand model as an example case. We simplify a large-scale agent-based mobility …