| On 2006-06-28 at 16:00:00 (Brussels Time) |
Abstract
This talk will presents a survey of the AI techniques used in the Game of Go. This game is very interesting because computers are still very weak in comparison with human masters. The game is very visual and pattern-oriented but some deductive thinking is still necessary. I will present an approach combining planning and learning for an enhanced version of the tic-tac-toe game. This method could be usefully applied to the Game of Go.
Keywords
Game of Go, Reinforcement learning
References
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Bruno Bouzy and Tristan Cazenave. (2001)
Computer Go: An {AI} oriented survey,
Artificial Intelligence, 132(1):39-103.
