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Related Experiment Video

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Methods to Explore the Influence of Top-down Visual Processes on Motor Behavior

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Published on: April 16, 2014

Intuitive Physics: Current Research and Controversies.

James R Kubricht¹, Keith J Holyoak¹, Hongjing Lu¹

¹Department of Psychology, University of California, Los Angeles, 405 Hilgard Avenue, Los Angeles, CA 90095, USA.

Trends in Cognitive Sciences

|July 17, 2017

Summary

Humans often misunderstand physics due to biases. Recent models explain these intuitive physics biases using normative principles and noisy perception, but learning remains a key question.

Keywords:

computation intuitive physics mental simulation misconceptions probabilistic simulation

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Area of Science:

Cognitive Science
Psychology
Physics

Background:

Humans exhibit common misconceptions and biases when predicting physical events.
Recent research suggests some biases arise from applying physical principles to noisy perceptual data.

Purpose of the Study:

To review theoretical advances in understanding intuitive physics.
To explore how physical knowledge is learned, represented, and applied to new situations.

Main Methods:

Review of heuristic models.
Analysis of knowledge-based, probabilistic simulation models.
Examination of recent deep-learning models.

Main Results:

Biases can be explained by normative principles applied to noisy perception.
Theoretical models range from heuristics to complex simulations and deep learning.

Conclusions:

Understanding the learning and application of physical principles is crucial.
Reconciling heuristic and knowledge-based models offers insights into intuitive physics.