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Examples of Machine Learning in Commercial Games

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So im just looking for as many examples of machine learning in commerical games as i can.

I have so far:

Neural Nets for Black and White, Fable 2, Fable 3, Creatures, Colin McCrae Rally 2

Drivatar for Forza 3. This learns from the user, dont know exactly what that technique is called.

Anyone know any more?

Cheers

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There's mention of those and other stuff like the Halo3 Bayesian skill ranking TrueSkill system in this presentation:

http://research.microsoft.com/en-us/projects/mlgames2008/

It isn't a video game, but the mechanics of the commercial boardgame Yavalath were created by evolutionary algorithm:

http://www.cameronius.com/games/yavalath/

Its got a 7.26 average rating on BoardGameGeek so apparently it is pretty decent:

http://boardgamegeek.com/boardgame/33767/yavalath



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Quote:
Original post by discodowney
So im just looking for as many examples of machine learning in commerical games as i can.

I have so far:

Neural Nets for Black and White, Fable 2, Fable 3, Creatures, Colin McCrae Rally 2

Black & White was not a ANN but rather used reinforcement learning. Similar, but not the same. The main difference is that rather than generic "neurons", you are tweaking dials specific to a behavior or belief.

I would like to know where you got the information about Fable 2 and 3. Creatures did (and used a GA as well).

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Edit: Sorry that was a mistake. the rest is right as far as i can tell

Its actually just an updated version of the Black And White one but the behaviour is context sensitive, so its prob not a true ANN in the same way you say Black and Whites isnt

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Championship Manger used neural networks for analysis of football match replays. Basically a neural net was used to determine what portions of the replay could be removed as we degraded match histories over time without losing the vitals of the game.

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