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 …

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 …

Agent-based models (ABM) consist of several heterogeneous agents interacting in a
complex way, possibly mediated by spatial constraints or other aspects, giving rise to …

In macroeconomics, an emerging discussion of alternative monetary systems addresses the
dimensions of systemic risk in advanced financial systems. Monetary regime changes with …

Traditionally, parallel discrete-event simulations of agent-based models in continuous time
are organized around logical processes exchanging time-stamped events, which clashes …

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

Computational modeling has become a widespread approach for studying real-world
phenomena by using different modeling perspectives, in particular, the microscopic point of …

The notion of (self-) adaptation, according to J. Holland (1975), describes the process of
iterative refinement of an entity's behavior or structure to improve its performance in its …

The site choice decisions of recreational fishers (anglers) have important implications for fish
stocks, fisheries management, and coastal economies by influencing catch rates and …

Modern high-performance, large-scale simulations require significant computational power,
memory, and storage, making heterogeneous architectures an attractive option. The …