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 Game
AI
Game AI encapsulates algorithms that learn human-like
abilities to interact in a game world. In particular, we are working
on smarter opponents in racing games and the next grand challenge of
AI - Computer Go. |
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Current Projects
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Drivatar™
A novel form of learning Artificial Intelligence (AI) developed for Forza Motorsport. The AI driving entity called “Drivatar” is learned by monitoring the driving of the player in the game itself. The Drivatar observes the player's road positioning and choice of racing line, the speeds achieved along the course, and the utilisation of the brake and accelerator. This information is then processed and absorbed into an AI Drivatar model which is representative of the driving "style" of that player. This model may be subsequently used to dynamically generate a plausible variety of racing lines and behaviours in race. Importantly too, this model is probabilistic, and will therefore not produce the same output every time; it is not just a simple recording of the player's driving.
- Computer Go
We are working on applying machine learning to revolutionize
computer Go.
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