-- Herbert Simon, 1988
Question: how to build machines that leverage prior experience to solve different and more complex problems than they have previously encountered?
Compositional Recursive Learner: a domain-general framework for learning algorithmic procedures for composing representation transformations, producing a learner that reasons about what computation to execute by making analogies to previously seen problems.
@article{chang2018automatically, title={Automatically composing representation transformations as a means for generalization}, author={Chang, Michael B and Gupta, Abhishek and Levine, Sergey and Griffiths, Thomas L}, journal={arXiv preprint arXiv:1807.04640}, year={2018}}