Evolutionary Artificial Intelligence in Video Games <p>I had an idea pertaining to the use of Artificial Intelligence on a larger scale then most games. The idea is to train and score agents in a game against players, then the data is sent back to a server where it can be scored for fitness and then added to the pool for evolutionary selection. At that point the new agents would be redistributed to the players to be trained and scored by the players again.</p> <p>I am thinking this would be a good use for possibly a neural network or finite state machine that is evolved in a co-evolutionary manner (AI = predator, Players = prey). What I want to know is: </p> <p>1) Are there any papers or examples of this happening already in games? I haven't been able to find any examples.</p> <p>2) Does it seem like this approach would be any better then the traditional approach to AI in games?</p> <p>I am working on a Tactical Turn-based Strategy and thought that this could add a new dimension to gameplay if I can pull it off.</p>