Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10259/9649
Título
Agent-Based Evolutionary Game Dynamics: a guide to implement and analyze Agent-Based Models within the framework of Evolutionary Game Theory
Editorial
University of Wisconsin Pressbooks
Fecha de publicación
2024-10-16
ISBN
979-8343435139
DOI
10.5281/zenodo.13938501
Abstract
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.
Palabras clave
Probability and statistics
Mathematical modelling
Stochastics
Evolution
Computer programming / software engineering
Object-oriented programming (OOP)
Computer modelling and simulation
Materia
Teoría de juegos
Game Theory
Estadística matemática
Mathematical statistics
Versión del editor
Aparece en las colecciones
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Formato:
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