This open access book presents a ground-breaking approach to develo** micro-
foundations for demography and migration studies. It offers a unique and novel methodology …

Evaluating the resilience of the innovation ecosystem to maintain its performance, in the
sense of resistance to disruption and recovery after it, has recently received more attention …

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 …

Modelica is a general-purpose modeling language mainly designed to facilitate the
development, reusability and exchange of models. It represents the state-of-the-art in …

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 …

In agent-based simulation methods and applications, discrete timestep approaches prevail.
To support continuous-time agent-based simulation, we analyze how methods for simulating …

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 …

Carma (Collective Adaptive Resource-sharing Markovian Agents) is a process-algebra-
based quantitative language developed for the modeling of collective adaptive systems. A …

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