EasyABM: a lightweight and easy to use heterogeneous agent-based modelling tool written in Julia

TL;DR

EasyABM.jl is a Julia package designed to simplify the creation and analysis of heterogeneous agent-based models, making ABM more accessible for researchers across various scientific fields.

Contribution

This work introduces EasyABM.jl, a lightweight, user-friendly Julia package that streamlines the development and analysis of agent-based models with a functional programming approach.

Findings

Provides an intuitive interface for ABM development

Facilitates analysis of complex systems with heterogeneous agents

Enhances accessibility of ABM in scientific research

Abstract

Agent based modelling is a computational approach that aims to understand the behaviour of complex systems through simplified interactions of programmable objects in computer memory called agents. Agent based models (ABMs) are predominantly used in fields of biology, ecology, social sciences and economics where the systems of interest often consist of several interacting entities. In this work, we present a Julia package EasyABM.jl for simplifying the process of studying agent based models. EasyABM.jl provides an intuitive and easy to understand functional approach for building and analysing agent based models.