Agent-Based Models with MATLAB

Agent-Based Models with MATLAB by Erik Cuevas delivers a practical, hands-on guide for anyone ready to turn complex systems into clear, testable simulations. Whether you’re a graduate student, researcher, or industry practitioner, this book makes building multi-agent systems in MATLAB approachable and efficient.

Start by mastering the essentials of agent-based modeling: representing autonomous agents, defining interaction rules, and setting up environments that mimic real-world systems. The author breaks down key concepts into step-by-step MATLAB implementations, with clear explanations of algorithms, model calibration, validation techniques, and visualization strategies that bring results to life.

Applied case studies span ecology, traffic and transport, epidemiology, and social dynamics, showing how the same core methods adapt across domains. You’ll learn best practices for performance tuning, sensitivity analysis, and scaling simulations—skills that translate directly to research projects, classroom labs, and practical applications in engineering, urban planning, and public health.

Readable and rigorous, this book balances theory with code, emphasizing reproducible workflows and how to interpret emergent behavior from individual interactions. Internationally relevant and suited to diverse datasets and contexts, it’s designed to meet the needs of the global modeling community.

If you want to confidently design, implement, and analyze agent-based simulations in MATLAB, Agent-Based Models with MATLAB by Erik Cuevas is an essential, practical resource that will accelerate your work and deepen your understanding of complex systems.

Note: eBooks do not include supplementary materials such as CDs, access codes, etc.