{"pk":49430,"title":"The Patchwork Approach: Toward a Perceptual Theory of Intuitive Physics","subtitle":null,"abstract":"Human experience is rich with sensory information, from which\nphysical regularities are internalized to guide behavior. This\npaper presents the Patchwork Approach, a method for modeling\nsensorimotor predictions based on these regularities, without explicitly\nencoding physics. This method leverages environmental\nregularities, enabling resource-rational perceptual predictions.\nUsing data from previous studies (Deeb et al., 2021, 2024) on\nhuman perception, the model outperforms Newtonian-based\nmodels in capturing human prediction errors and interpolates\nacross untested conditions. One test demonstrates its superiority\nin a projectile motion task, while another illustrates its ability\nto predict deflection angles in a collision event from untrained\naiming angles. This approach provides valuable insights into\nhow physical laws are internalized and used to guide perception\nand action–arguing that perception provides foundational\ninput to intuitive physics reasoning, a role that can complement\nand be extended to higher-level cognitive processes like those\nexplained by the Intuitive Physics Engine (IPE).","language":"eng","license":{"name":"","short_name":"","text":null,"url":""},"keywords":[{"word":"Perception; Predictive Processing; Representation; Sensory Processing; Computational Modeling"}],"section":"Papers with Poster Presentation","is_remote":true,"remote_url":"https://escholarship.org/uc/item/63s4x0tk","frozenauthors":[{"first_name":"Abdul-Rahim","middle_name":"","last_name":"Deeb","name_suffix":"","institution":"Johns Hopkins University","department":""}],"date_submitted":null,"date_accepted":null,"date_published":"2025-01-01T18:00:00Z","render_galley":null,"galleys":[{"label":"PDF","type":"pdf","path":"https://journalpub.escholarship.org/cognitivesciencesociety/article/49430/galley/37392/download/"}]}