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Hm, okay, what do you consider ML then? (And what AI, and how much is the overlap?) For me AlphaGo is more ML than AI. (Exactly because of the "moves no insight
by pas 2y ago
Hm, okay, what do you consider ML then? (And what AI, and how much is the overlap?) For me AlphaGo is more ML than AI. (Exactly because of the "moves no insight" that you mention.)
- toolslive 2y agowell, the wikipedia definition: >Machine learning (ML) is a field of study in artificial intelligence concerned with the development and study of statistical algorithms that can learn from data and generalize to unseen data and thus perform tasks without explicit instructions. So it's about learning via statistics & data. If you don't use data or statistics it's not ML. Chess engines definitely do not fit there. They descend the game tree and evaluate it with an algorithm like minimax. No statistics. No learning. No training (although the static evaluation function might have been trained/tweaked via NNs). I don't know the details of AlphaGo, but I'm guessing it's similar: the concept of the game is hardcoded (game tree,....) while the evaluation of a position is done via NN. the training can be done via games against itself.
- pas 2y ago> I don't know the details of AlphaGo As far as I know that's the whole thing that makes it better than the older ones is ML. https://miro.medium.com/v2/resize:fit:4000/format:webp/1*0pn33bETjYOimWjlqDLLNw.png https://miro.medium.com/v2/resize:fit:4000/format:webp/1*0pn...
- toolslive 2y agothis is a really nice overview! thx.