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arXiv · 2409.19294

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

Paul Piho·Philipp Thomas
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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.

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Paul Piho, Philipp Thomas. 2024-09-28. AgentBasedModeling.jl: a tool for stochastic simulation of structured population dynamics. https://arxiv.org/abs/2409.19294

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