Joshua B. Tenenbaum

Physics engines do not need to be replaced by black-box neural networks—patching them with Bayesian-inferred code enables robots to actively discover missing physical mechanisms with drastically fewer real-world interactions.

Through a series of worked examples, it is shown how formally representing a theory of mind as a memo-like programming language can lend insight into a variety of theoretical issues in theory-of-mind research.