Soon we'll be combining statistical, symbolic, and algorithmic intelligence techniques. I question why that isn't the assumed position. :(
That is to say, we have devised some algorithms that are truly impressive. There is little reason to think an intelligence couldn't devise them, of course. There is also little reason I can see, to not think we could help out programs by providing them.
> I question why that isn't the assumed position. :(
I suspect that each paradigm alone is easier to innovate in, than assuming that each is developed sufficiently to connect together.
"Integrating technologies for benefit" is a common view for intellectuals or business-people outside of a discipline who only know enough to see every key-worded algorithm or technology as a black box. Researchers in a field, that need to make a career for themselves by choosing problems tractable and filled with smaller parts, would see difficulties as to how and why that might be inappropriate at a given time.
That is to say, we have devised some algorithms that are truly impressive. There is little reason to think an intelligence couldn't devise them, of course. There is also little reason I can see, to not think we could help out programs by providing them.