I am developing a computer baseball game based on statistics. I would like to use artificial intelligence for the batters to determine which pitch is coming, and if the batter guesses correctly he will get a hit. I think that AI would be a good choice for such feature, but I don’t know much about the subject. In the game the pitcher will also try to guess which pitch the batter can’t hit.
Each pitcher will have 5 pitches (it could be more or less, but 5 will be the average).
I am looking forward to learn how to implement such features using artificial intelligence, and I would like to know which areas are the ones that can solve these problems.
I think Bayesian statistics are your best bet.
All baseball statistics are statistical priors in Bayes-speak. You can start developing a model based on those.
It won’t be easy, unless you have some background. I’d recommend looking at “Doing Bayesian Data Analysis” by John K. Kruschke.