Quote:
Originally Posted by Fat Wikey
The one thing I wanted to bring up was somewhat hit on by Keatsta's post. Basically, one of the big flaws of any AI program is its predictability. Once an opponent grasps the gist of what the evaluation is going to determine, they know what the AI is going to do. Basically, if last time I had my Pokémon X out against his Y with similar battle conditions he did Move Z. With human players you can never be 100% sure what they're going to do, but with an AI you can be. Beating it would be less Pokemon and more like beating a boss in Megaman. Memorizing what it does in certain situations and acting accordingly. I'm not sure if you had any plans of countering this or how much of a problem it would be, just something I was thinking of.
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Are you aware that the reason that computers win chess matches consisting of multiple games often is exactly what you described, except it is the computer who "learns"? I would guess it's really hard to pull off, but if there is anyone who could, it's Obi.
As for the evaluation function, I think a using the existing statistics to value the pokemon in each team, where higher ranking is higher value, could be an option. Especially because it seems that it would need relatively little computation.
Another option could be base stats, possibly weighing stats with EV's heavier (because Breloom's Sp.Atk doesn't matter).
Good luck with this awesome (and huge) project