we have well scaling methods, which lack generalization power (statistical methods, neural nets, SVMs, deep belief networks
You got it backwards. These methods have generalization power, especially the SVM (achieving generalization is the whole point of the VC theory on which it’s based), but don’t scale well.
Yes, bad wording on my side. I mean something like capability of representing and operating on complex objects, situations and relations. However it doesn’t invalidate my (quite trivial) point that we don’t have practical theory of AGI yet.
You got it backwards. These methods have generalization power, especially the SVM (achieving generalization is the whole point of the VC theory on which it’s based), but don’t scale well.
Yes, bad wording on my side. I mean something like capability of representing and operating on complex objects, situations and relations. However it doesn’t invalidate my (quite trivial) point that we don’t have practical theory of AGI yet.