AgentBasedModeling.jl: a tool for stochastic simulation of structured population dynamics

TL;DR

AgentBasedModeling.jl is a Julia package enabling continuous-time stochastic simulation of structured populations, capturing heterogeneity and interactions through jump-diffusions and continuous-rate processes.

Contribution

It introduces a flexible Julia tool for continuous-time agent-based modeling, expanding beyond discrete-time frameworks.

Findings

Allows simulation of complex stochastic population dynamics

Facilitates study of stochastic effects in structured populations

Supports generic continuous-time jump-diffusions and interactions

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 AgentBasedModeling$.$jl, 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. AgentBasedModeling$.$jl provides a powerful methodology for studying the effects of stochasticity on structured population dynamics.