We explore the hypothesis that many intuitive physical inferences are based on a mental
physics engine that is analogous in many ways to the machine physics engines used in …

Early research in the field of intuitive physics provided extensive evidence that humans
succumb to common misconceptions and biases when predicting, judging, and explaining …

What do infants know? How does the knowledge that they begin with prepare them for
learning about the particular physical, cultural, and social world in which they live? Answers …

The original" Seven Motifs" set forth a roadmap of essential methods for the field of scientific
computing, where a motif is an algorithmic method that captures a pattern of computation …

From just a glance, humans can make rich predictions about the future of a wide range of
physical systems. On the other hand, modern approaches from engineering, robotics, and …

A Bayesian framework helps address, in computational terms, what knowledge children start
with and how they construct and adapt models of the world during childhood. Within this …

While current deep learning systems excel at tasks such as object classification, language
processing, and gameplay, few can construct or modify a complex system such as a tower of …

How do people make causal judgments about physical events? We introduce the
counterfactual simulation model (CSM) which predicts causal judgments in physical settings …

From infancy, humans have expectations about how objects will move and interact. Even
young children expect objects not to move through one another, teleport, or disappear. They …

Objects' motions in nature are governed by complex interactions and their properties. While
some properties, such as shape and material, can be identified via the object's visual …