The human brain is not the most powerful AI, because it fails the "A" test.
I suspect bootstrapping is not very hard. I have recently written a Spanish checkers program starting with no knowledge and I got it to play top-human level checkers within a few weeks. You can build a database of games as you go. The important thing is that the games don't have to be played perfectly: They just need to be significantly better than your current model, so you can tweak the model to learn from them. In the case of checkers the "model" is the evaluation function, for which I used a small neural network. In the case of go the model could be an evaluation function or it could be something that assigns probabilities to moves. In either case, a database with hundreds of thousands of games played by the current version of the program is very useful to refine the model. A few iterations of (1. build database using current model, 2. train model using database) should figure out how to play the game well without any human knowledge. Álvaro. On Mon, Mar 16, 2015 at 4:52 AM, Darren Cook <dar...@dcook.org> wrote: > > To be honest, what I really want is for it to self-learn,... > > I wonder if even the world's most powerful AI (i.e. the human brain) > could self-learn go to, say, strong dan level? I.e. Give a boy genius a > go board, the rules, and two years, but don't give him any books, hints, > or the chance to play against anyone who has had access to books/teaching. > > Darren > > _______________________________________________ > Computer-go mailing list > Computer-go@computer-go.org > http://computer-go.org/mailman/listinfo/computer-go >
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