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Dedication
Preface
I-1. Overview
I-2. Introduction to evolutionary game theory
I-3. Introduction to agent-based modeling
I-4. Introduction to NetLogo
I-5. The fundamentals of NetLogo
II-1. Our very first model
II-2. Extension to any number of strategies
II-3. Noise and initial conditions
II-4. Interactivity and efficiency
II-5. Analysis of these models
II-6. Answers to exercises
III-1. Spatial chaos in the Prisoner's Dilemma
III-2. Robustness and fragility
III-3. Extension to any number of strategies
III-4. Other types of neighborhoods and other decision rules
III-5. Analysis of these models
III-6. Answers to exercises
IV-1. The nxn game on a random network
IV-2. Different types of networks
IV-3. Implementing network metrics
IV-4. Other ways of computing payoffs and other decision rules
IV-5. Analysis of these models
IV-6. Answers to exercises
V-1. Introduction
V-2. A rather general model for games played in well-mixed populations
V-3. Mean Dynamics
V-4. Answers to exercises
A-1. Different implementations with the same output
A-2. Legend for code skeletons
A-3. Models implemented in this book
References
To Carmen, Daniela, and Alejandra, for being the meaning, the music, the beauty, and the adventure of my life
To May, Gemma, and Luis You are always on my mind
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Agent-Based Evolutionary Game Dynamics Copyright © 2024 by Luis R. Izquierdo, Segismundo S. Izquierdo & William H. Sandholm is licensed under a Creative Commons Attribution 4.0 International License, except where otherwise noted.