Update: It's written, and you can read it here
I have learnt so much in college that I've not yet articulated. Hence, this blog post to say I'm working on an unofficial and informal senior thesis as a capstone to the work I've done so far.
The core concept is that games provide a useful and flexible framework for thinking about autonomous intelligence, both for humans and machines.
Step 1. We define a game. To do this, we need a double-edged definition, one side to capture captures the mathematical form (Ludonomy) and one for the more fluid aspect of language and play (which Ludwig Wittgenstein coined Sprachspiel).
Step 2. We see that even science, art, philosophy, and math, work with games. All games express both aspects, but people, depending on their field, view them differently.
Step 3. The great distinction between Ludonomy and Sprachspiel is whether one can solve the game conclusively or not. Solving a game kills it, but we create new games in its wake.
Step 4. The threat posed, we see that games are only viable while they have a little chaos in them. Therefore, a game has to show signs of emergence as a system.
Step 5. Which finally leads us to a discussion of how we can think about games and recent advances in machine learning to think about fruitful and fun places to find intelligence.