Research Topic · Peer-Reviewed

Agent-based Modelling and Simulation

Agent-based modelling and simulation is a technology that enables the analysis of complex systems by simulating the behaviour of individual components (agents) and their interactions with one another in a virtual environment. It is used to study and predict the behaviour of systems ranging from financial markets to …

Curated from this journal's research 📚 2 peer-reviewed articles cited 🔖 ISSN 2643-2811 🗓 Reviewed July 2026

Overview

Agent-based modelling and simulation is a technology that enables the analysis of complex systems by simulating the behaviour of individual components (agents) and their interactions with one another in a virtual environment. It is used to study and predict the behaviour of systems ranging from financial markets to epidemics and can provide insights into, and help optimise, real-world problems. Agent-based modelling and simulation has become increasingly popular in recent years due to the growth of computational power, improved methods for creating agent-based models, and new insights into modelling complex problems. Its use has allowed for an interdisciplinary approach to problem solving and can be a powerful tool for policy makers and industry.

Research published in this journal

2 peer-reviewed articles, ranked by relevance. Each links to its DOI.

Editorial oversight

Curated from peer-reviewed research published in Model Based Research (ISSN 2643-2811).

Journal editorial board
Yoshiaki Kikuchi · Japan Yung-Yao Chen · Taiwan Yang Chen · United States

This page summarises published research for orientation; it is not medical or professional advice.