This book is a guide to implement and analyze simple agent-based evolutionary models using NetLogo. All the models we implement in this book 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. The latest (online) version of this book is available for free at https://wisc.pb.unizin.org/agent-based-evolutionary-game-dynamics/. The online version includes videos and animated figures. To cite the online version, please use: Izquierdo, L. R., Izquierdo, S. S., & Sandholm, W. H. (2024). Agent-Based Evolutionary Game Dynamics. University of Wisconsin Pressbooks. Available online at https://wisc.pb.unizin.org/agent-based-evolutionary-game-dynamics To cite this static version, please use: Izquierdo, L. R., Izquierdo, S. S., & Sandholm, W. H. (2024). Agent-Based Evolutionary Game Dynamics. University of Wisconsin Pressbooks. DOI: 10.5281/zenodo.13938501. Online version at https://wisc.pb.unizin.org/agent-based-evolutionary-game-dynamics

Spanish Ministry of Universities (PRX22/00064 and PRX22/00065), Spanish State Research Agency (PID2020-118906GB-I00/AEI/ 10.13039/501100011033), Fulbright Program, the Regional Government of Castilla y León and the EU-FEDER program (CLU-2019- 04 – Bioecouva Unit of Excellence)

Online version at https://wisc.pb.unizin.org/agent-based-evolutionary-game-dynamics

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