The Library
Reconciling intuitive physics and Newtonian mechanics for colliding objects
Tools
Tools
Tools
Sanborn, Adam N., Mansinghka, Vikash K. and Griffiths, Thomas L. (2013) Reconciling intuitive physics and Newtonian mechanics for colliding objects. Psychological Review, 120 (2). pp. 411-437. doi:10.1037/a0031912
|
PDF
WRAP-Reconciling-intuitive-collisions_Sanborn-2017.pdf - Accepted Version - Requires a PDF viewer. Download (1447Kb) | Preview |
Official URL: http://dx.doi.org/10.1037/a0031912
Abstract
People have strong intuitions about the influence objects exert upon one another when they collide. Because people's judgments appear to deviate from Newtonian mechanics, psychologists have suggested that people depend on a variety of task-specific heuristics. This leaves open the question of how these heuristics could be chosen, and how to integrate them into a unified model that can explain human judgments across a wide range of physical reasoning tasks. We propose an alternative framework, in which people's judgments are based on optimal statistical inference over a Newtonian physical model that incorporates sensory noise and intrinsic uncertainty about the physical properties of the objects being viewed. This noisy Newton framework can be applied to a multitude of judgments, with people's answers determined by the uncertainty they have for physical variables and the constraints of Newtonian mechanics. We investigate a range of effects in mass judgments that have been taken as strong evidence for heuristic use and show that they are well explained by the interplay between Newtonian constraints and sensory uncertainty. We also consider an extended model that handles causality judgments, and obtain good quantitative agreement with human judgments across tasks that involve different judgment types with a single consistent set of parameters.
| Item Type: | Journal Article | ||||
|---|---|---|---|---|---|
| Subjects: | B Philosophy. Psychology. Religion > BF Psychology Q Science > QC Physics |
||||
| Divisions: | Faculty of Science, Engineering and Medicine > Science > Psychology | ||||
| Library of Congress Subject Headings (LCSH): | Mechanics , Bayesian statistical decision theory, Collisions (Physics), Judgments | ||||
| Journal or Publication Title: | Psychological Review | ||||
| Publisher: | American Psychological Association | ||||
| ISSN: | 0033-295X | ||||
| Official Date: | April 2013 | ||||
| Dates: |
|
||||
| Volume: | 120 | ||||
| Number: | 2 | ||||
| Page Range: | pp. 411-437 | ||||
| DOI: | 10.1037/a0031912 | ||||
| Status: | Peer Reviewed | ||||
| Publication Status: | Published | ||||
| Access rights to Published version: | Restricted or Subscription Access | ||||
| Funder: | National Science Foundation (U.S.) (NSF), Royal Society (Great Britain), Gatsby Charitable Foundation (GCF), United States. Air Force. Office of Scientific Research (AFOSR) | ||||
| Grant number: | FA9550-07-1-0351 (AFOSR) |
Request changes or add full text files to a record
Repository staff actions (login required)
 |
View Item |
Downloads
Downloads per month over past year
