Learning (viewing millions of professional game moves).
Experience (playing different versions of itself)
Intuition (ability to accurately estimate the value of a board)
Imagination (evaluating a series of "what if?" scenarios using Monte Carlo Tree Search)
I think the significant thing about AlphaGo is that apart from some hand-crafting in the Monte Carlo Tree Search routines, this is all general purpose programming.
It may only be baby-steps, but it does feel like a genuine step towards true (general) AI.
Learning (viewing millions of professional game moves).
Experience (playing different versions of itself)
Intuition (ability to accurately estimate the value of a board)
Imagination (evaluating a series of "what if?" scenarios using Monte Carlo Tree Search)
I think the significant thing about AlphaGo is that apart from some hand-crafting in the Monte Carlo Tree Search routines, this is all general purpose programming.
It may only be baby-steps, but it does feel like a genuine step towards true (general) AI.