The closest thing may be the work going on in "active learning" where the learning process is self directed, the agent adapts to limitations inherent in the data, and employs multiple techniques as needed, especially interactive Q&A to resolve unlabeled / ambiguous exemplars.

Until an agent takes some sort of initiative in directing its learning process, its behavior will remain scripted and passive, never amounting to more than a recognizer of patterns -- a rather low bar in the quest for autonomous intelligence, IMHO.