… to program induction so as to facilitate discussion and help this nascent but exciting research
area mature into a powerful and general theory of learning. … of program induction in human …

… Machine learning and computer vision researchers are beginning to explore methods …
program induction (36–41), and our results show that this approach can perform one-shot learning …

… Figure 2: The Bayesian neurosymbolic program induction algorithm that underlies our
computational model, based on [23, 33]. Left (“overall model”): Each observed image In is …

… We modeled human concept learning as program induction. … program-induction-based
models. This shift is small, but showing that this approach can explain traditional concept learning …

… program induction procedure which has evolved from recent research in mnchine Iei]rnlng
and inductive … article was made possible by recent advances in inductive logic programming, …

… teacher induction and research on learning to teach. Research on teacher induction has
focused on the difficulties of beginning teachers and on assistance and assessment programs …

… and purely symbolic inductive learning systems’ (see [1] and [18] for a comprehensive
description of symbolic inductive learning systems, including Inductive Logic Programming). …

… learning formulations of inductive program … learning approaches to the problem based on
neural networks and graphical models, and to understand the capabilities of machine learning …

… in functional as well as in logical program induction, namely search-based and analytical …
some classical machine learning terminology in the light of inductive programming. The input …

… This work may be viewed as inductive learning with a very strong bias (the plan library). …
To test the power of our inductive logic programming framework, we show how it is able to learn …