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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-4. Answers to exercises
A-1. Different implementations with the same output
A-2. Models implemented in this book
References
Part I. Introduction
To be written
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Agent-Based Evolutionary Game Dynamics (IN PROGRESS) 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.