I'm really interested in A.I, but I'm confused; I read this article:
It breaks down a complex A.I algorithm to an simple FSM, but isn't a A.I supposed to learn, in this article the transitions from state to state are simple conditions, i see nothing where this I.A is supposed to learn, this transitions are hardcoded, why the author calls it A.I ?
The same with behaviour tree, it's basically the same concept but different, self-contained collection of states for example this article:
I think the only one's that learn are neural networks, or not?
Between is a neural network a A.I and a A.I a neural network, or is it not the same?
I think A.I is a "Category" and a neural network a more specific A.I.
I hope I get this questions solved, I'm really confused.
Thank you all for reading!
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