MODELING COMPLEX AND INTELLIGENT SYSTEMS WITH NETLOGO

NetLogo is an agent-based programming environment well suited for modeling and inspecting complex systems evolving over time. Since thousands of independent agents and their interactions can be simulated with NetLogo, emerging global patterns arising from the local behavior of these agents can be explored and analyzed. This book deals with how to use NetLogo in order to design models of complex systems and models of intelligent systems. Specifically, just to mention a few examples, the tackled complex systems in the book are related to cellular automata, fractals, and visualization of graphs, while the addressed intelligent systems have to do with evacuation dynamics, evolutionary computation, and optimization in graphs. Each of the fifteen chapters of this book includes a number of figures, bibliographic references, and exercises of interest to the reader. The book offers students, practitioners, and researchers a broad coverage of the main aspects of modeling problems with NetLogo in the context of complexity science and artificial intelligence. To that end, NetLogo code is included throughout the book for each presented model and for each addressed problem. The author of this book is an associate professor in the Department of Artificial Intelligence at UNED (Spanish Open University). Since the middle 1990s, he has performed teaching and research activities within the field of artificial intelligence, mainly in the areas of Bayesian networks and evolutionary computation.