“…Human infants are not as tabula rasa as models like InferSent but rather encode useful inductive biases (Chomsky & Lightfoot, 2002;Lightfoot & Julia, 1984;Mitchell, 1980;Pearl & Goldwater, 2016;Seidenberg, 1997). Building such biases into our models (Battaglia et al, 2018;Dubey, Agrawal, Pathak, Griffiths, & Efros, 2018;Gandhi & Lake, 2019;Lake et al, 2018) is a promising direction towards scalably learning systematic representations. We also showed how analysis and controlled testing for heuristic strategies in the learning environment can provide rich insights into the representations learned.…”