Game Theory is the mathematical study of strategic interactions between rational decision makers. Algorithmic Game Theory is the crossover into Computer Science. Now that I have more time to research cool stuff and write about it, I wanted to start documenting what I am learning.

Process

To maintain a sense of structure, I am going to be following "Twenty Lectures on Algorithmic Game Theory" by Tim Roughgarden. All the lectures have also been uploaded to YouTube.

For each lecture, I am going to try to follow up with any sources I can find online. I will do a write up of what I learned for each lecture along with the extra research.

Goal

I thought it would be good to state a goal at the onset of this, but I admit I don't have a clear one in mind. Aside from learning, I am hoping to also write posts like this more. Less technical than my usual, and more of a sharing of thoughts. That's not to say I won't have technical posts on this topic. Since the topic includes technical aspects it makes sense to do so. But I will figure that out as I go.

Final Thoughts

As with all my posts, I appreciate feedback. As I mentioned above, this is not my typical writing style, so it may vary from post to post. With any luck, I can improve both my writing and Econ skills with this project.