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Agent-Based Evolutionary Game Dynamics Luis Izquierdo

Contributor(s): Material type: TextTextSeries: Open textbook libraryDistributor: Minneapolis, MN Open Textbook LibraryPublisher: Madison, Wisconsin University of Wisconsin - Madison [2024]Copyright date: ©2024Description: 1 online resourceContent type:
  • text
Media type:
  • computer
Carrier type:
  • online resource
Subject(s): LOC classification:
  • QA76
Online resources:
Contents:
Dedication -- Preface -- Part I: Introduction -- Part II: Our first agent-based evolutionary model -- Part III: Spatial interactions on a grid -- Part IV: Games on networks -- Part V: Agent-based models vs ODE models -- Appendices
Subject: 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.
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Dedication -- Preface -- Part I: Introduction -- Part II: Our first agent-based evolutionary model -- Part III: Spatial interactions on a grid -- Part IV: Games on networks -- Part V: Agent-based models vs ODE models -- Appendices

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.

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In English.

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