
Agent-Based Models with MATLAB
Morgan Kaufmann (Publisher)
Published on 22. January 2025
Book
Paperback/Softback
336 pages
978-0-443-24004-1 (ISBN)
Description
Agent-Based Models with MATLAB introduces Agent-Based Modeling (ABM), one of the most important methodologies for complex systems modeling. The book explores computational implementations and accompanying MATLAB software code as a means of inspiring readers to apply agent-based models to solve a diverse range of problems. It comes with a large amount of software code that accompanies the main text, and the modeling systems described in the book are implemented using MATLAB as the programming language. Despite the heavy mathematical components of Agent-Based Models and complex systems, it is possible to utilize these models without in-depth understanding of their mathematical fundamentals.
This book enables computer scientists, mathematicians, researchers, and engineers to apply ABM in a wide range of research and engineering applications. It gradually advances from basic to more advanced methods while reinforcing complex systems through practical, hands-on applications of various computational models.
This book enables computer scientists, mathematicians, researchers, and engineers to apply ABM in a wide range of research and engineering applications. It gradually advances from basic to more advanced methods while reinforcing complex systems through practical, hands-on applications of various computational models.
More details
Language
English
Place of publication
San Francisco
United States
Publishing group
Elsevier Science & Technology
Target group
Professional and scholarly
Dimensions
Height: 235 mm
Width: 191 mm
Weight
690 gr
ISBN-13
978-0-443-24004-1 (9780443240041)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
Additional editions

Erik Cuevas | Karla Avila | Miguel Islas Toski
Agent-Based Models with MATLAB
E-Book
01/2025
Elsevier
€167.99
Available for download
Persons
Dr. Erik Cuevas received his Ph.D. degree from Freie Universitaet 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. Hector 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.
Author
Professor, Department of Computer Science, University of Guadalajara, Mexico
Research Associate, Department of Computer Science, University of Guadalajara, Mexico
Research Associate, Department of Computer Science, University of Guadalajara, Mexico
Research Associate, Department of Computer Science, University of Guadalajara, Mexico
Content
1. Introduction
2. Agents
3. Agent-based modeling
4. Complex networks and graph theory
5. Cellular Automata
6. Validation Framework
7. Model applications
8. Differences between Cellular Automata and Agent-Based Models
9. Implementations of agent-based models
2. Agents
3. Agent-based modeling
4. Complex networks and graph theory
5. Cellular Automata
6. Validation Framework
7. Model applications
8. Differences between Cellular Automata and Agent-Based Models
9. Implementations of agent-based models