Dr. Erik Cuevas received his Ph.D. degree from Freie Universität Berlin, Germany in 2006. Since 2006 he has been with the University of Guadalajara, where he is currently a full-time Professor in the Department of Computer Science. Since 2008, he has been a member of the Mexican National Research System (SNI III). He is the author of several books, including Metaheuristic Computation with MATLAB, Taylor and Francis/CRC Press; Recent Metaheuristic Computation Schemes in Engineering, Springer; Recent Metaheuristic Algorithms for Parameter Identification, Springer; and Metaheuristic Computation: A Performance Perspective, Springer, among others. His current research interests include meta-heuristics, computer vision, and mathematical methods. He serves as an Editor for the journals Expert System with Applications, ISA Transactions, Applied Soft Computing, Applied Mathematical Modeling, and Mathematics and Computers in Simulation. Karla Avila received her M.Sc. degree in Electronics and Computer Engineering from University of Guadalajara in 2020. She is currently enrolled in the Ph.D. program in Electronics and Computer Science at University of Guadalajara, and her current research interests include artificial intelligence, modeling complex systems, and metaheuristic algorithms. Miguel Islas Toski received his M.Sc. in Electronics and Computer Engineering from University of Guadalajara in 2020. He completed an internship at Arizona State University in 2017. He is currently enrolled in the Ph.D. program in Electronics and Computer Science at University of Guadalajara, and his current research interests include artificial intelligence, evolutionary algorithms, agent-based modeling, and smart and sustainable cities. Héctor Escobar received his M.Sc. degree in Electronics and Computer Engineering from the University of Guadalajara, Mexico, in 2021. He is currently enrolled in the Ph.D. program in Electronics and Computer Science at University of Guadalajara, and his current research interests include meta-heuristics, computer vision, artificial intelligence, and Agent-Based Modeling.

• 1. Introduction2. Agents3. Agent-based modeling4. Complex networks and graph theory5. Cellular Automata6. Validation Framework7. Model applications8. Differences between Cellular Automata and Agent-Based Models9. Implementations of agent-based models