AgentBasedModeling.jl: a tool for stochastic simulation of structured population dynamics
arXiv:2409.19294
Abstract
Agent-based models capture heterogeneity among individuals in a population and are widely used in studies of multi-cellular systems, disease, epidemics and demography to name a few. However, existing frameworks consider discrete time-step simulation or assume that agents' states only change as a result of discrete events. In this note, we present AgentBasedModelingjl, a Julia package for simulating stochastic agent-based population models in continuous time. The tool allows to easily specify and simulate agents evolving through generic continuous-time jump-diffusions and interacting via continuous-rate processes. AgentBasedModelingjl provides a powerful methodology for studying the effects of stochasticity on structured population dynamics.
6 pages, 1 figure