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My dream would be if Good Old-Fashioned AI (the symbolic, explainable kind Sussman is interested in) were to have the sudden redemption that neural nets had. I
by rspeer 11y ago
My dream would be if Good Old-Fashioned AI (the symbolic, explainable kind Sussman is interested in) were to have the sudden redemption that neural nets had.
It was easier for neural nets, though, because they were close to a previously successful AI mechanism (machine learning with logistic regression), it's just that we had spent decades talking about them with different words for no good reason. There's a much larger gulf between GOFAI and what we do now.
- marcosdumay 11y agoPattern matching has unbeatable performance benefits, at least for our current computers. If you go deep in numerical calculus, you'll see that our computers are must better fit to work with continuous smooth functions than they are for discrete noise-like data. So, all the power goes to the people that turn their knowledge into a smaller set of interpolated curves. (And yes, I think that's very counter intuitive.) Anyway, I'm not convinced this is a fundamental property of CS. It sounds at least possible that different architectures could have different constraints, and make symbolic AI viable. But it those would need to be very different architectures, not based on the Von Neuman or Turing's ideas at all.