There are two objectives for this course. The first objective is to introduce the Julia programming language, with a special focus on developing programs to study game theory using the Agents.jl package https://juliadynamics.github.io/Agents.jl and the GameTheory.jl package (https://quantecon.github.io/GameTheory.jl. The second objective is to provide an introduction to game theory emphasizing issues of particular relevance to students at ESSLLI, such as signaling games and repeated games on networks. The course will include a number of tutorials that will give students hands-on experience writing Julia programs. No previous experience with the Julia programming language will be assumed.
The main topics in game theory that will be discussed include:
You may want to download the latest version of Julia to get some hands-on experience with Julia (or you can use Colab): https://julialang.org/downloads/
The notebooks for the lecture today are:
Introduction to Julia (for Python programmers...if you don't know Python just ignore all the discussion of Python!) https://colab.research.google.com/drive/1SqMh2_eFZYIJeB3BPLhlORbut8b5alzA?usp=sharing
Symmetric games in Julia https://colab.research.google.com/drive/153op1TRJCWGjv0m68GtONSKBPlzHY9SL?usp=sharing
An introduction to the GameTheory.jl package https://colab.research.google.com/drive/1-aVcgHE3hjh67Q4tTO7lD8jqvoVFq1Ri?usp=sharing
Note the above link to the slides is to a Jupyter notebook that we discussed in the lecture. You can download it and run it in your own Julia installation.