A Chess/Go/Shogi model that passes the Turing test, how do I build an imitation learning model that incorporates some kind of lookahead algorithm?

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I want to build a model for Chess/Go/Shogi that is trained and tested on real players, and I want it to pass the Turing test. I don't want my model to play the best move in a position, I want it to play the move that a person would play (of a certain strength, time control, etc..).

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