That's a very similar idea to our startup. Except we're not using brute force evolution algorithms. Which I think is a bad idea, for the same reason researchers

That's a very similar idea to our startup. Except we're not using brute force evolution algorithms. Which I think is a bad idea, for the same reason researchers have found neural networks to be generally a bad approach to machine learning. The problem is the same, while it might be mathematically viable to code a system that will brute force it's way to learn if a great game is. That takes too long to most commercial applications. Specially when it's so easy to "cheat" and pre-input some values you already learned yourself. In short, why would you write a code that takes 10 years to learn something that you could teach it yourself in a few minutes? Brute force evolution algorithms are a fun and interesting thing to do research on. But that's it. The only practical application for it, is to research the algorithms itself to better understand how they work! But I'm sure the author of Angelina knows this, as his main goal does seem to be better understand how the algorithms work. That's fine, just don't expect many awesome commercially viable games from it. If that was the goal, I'd recommend "cheating" your own knowledge and the knowledge of other players to train your machine learning algorithms, similar to a recommendation algorithm. That's what we're hoping to achieve ourselves.