Learning Naïve Physics models and misconceptions

Modeling how intuitive physics concepts are learned from experience is an important challenge for cognitive science. We describe a simulation that can learn intuitive causal models from a corpus of multimodal stimuli, consisting of sketches and text. The simulation uses analogical generalization and statistical tests over qualitative models. We show that the explanations the simulation provides for a new situation are consistent with explanations given by naïve students