2026-06-19T13:37:08Zhttps://riubu.ubu.es/oai/request

oai:riubu.ubu.es:10259/96492024-10-30T01:05:21Zcom_10259_3830com_10259_5086com_10259_2604col_10259_5481

Izquierdo Millán, Luis Rodrigo Izquierdo, Segismundo S. Sandholm, William H. 2024-10-29T11:30:54Z 2024-10-29T11:30:54Z 2024-10-16 979-8343435139 http://hdl.handle.net/10259/9649 10.5281/zenodo.13938501 This book is a guide to implement and analyze simple agent-based evolutionary models using NetLogo. All the models we implement are agent-based, i.e. individual agents and their interactions are explicitly represented in the models. To formalise agents’ interactions we use the basic framework of Evolutionary Game Theory. NetLogo is a multi-agent programmable modeling environment used by hundreds of thousands of students, teachers and researchers all around the globe. No coding experience is necessary to fully understand the contents of this book. application/pdf application/pdf eng University of Wisconsin Pressbooks Atribución 4.0 Internacional http://creativecommons.org/licenses/by/4.0/ info:eu-repo/semantics/openAccess Probability and statistics Mathematical modelling Stochastics Evolution Computer programming / software engineering Object-oriented programming (OOP) Computer modelling and simulation Teoría de juegos Estadística matemática Game Theory Mathematical statistics Agent-Based Evolutionary Game Dynamics: a guide to implement and analyze Agent-Based Models within the framework of Evolutionary Game Theory info:eu-repo/semantics/book info:eu-repo/semantics/publishedVersion https://wisc.pb.unizin.org/agent-based-evolutionary-game-dynamics