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Modeling Expectation Violation in Intuitive Physics with Coarse Probabilistic Object Representations
2019
Neural Information Processing Systems
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 are surprised by mismatches between physical expectations and perceptual observations, even in unfamiliar scenes with completely novel objects. A model that exhibits human-like understanding of physics should be similarly surprised, and adjust its beliefs accordingly. We propose ADEPT, a model that uses a coarse
dblp:conf/nips/SmithMY0STU19
fatcat:25zmoirzbncjpiwxsmz2hneuui