Intuitive physics learning in a deep-learning model inspired by developmental psychology
Nature Human Behavior, 2022. [All Versions]. A machine-learning dataset designed to evaluate conceptual understanding of intuitive physics, adopting the violation-of-expectation (VoE) paradigm from developmental psychology; a deep-learning system that learns intuitive physics…
- from
- AGI & CoCoSci
- added
- 2026-10-10
- likes
- 0
similar
-
Intuitive Physics: Current Research and Controversies sciencedirect.com
Trends in Cognitive Sciences, 2018. [All Versions]. Hongjing Lu's review on intuitive physics.
-
Intuitive Physics Reading List github.com
GitHub. A reading list on intuitive physics, maintained actively by Shiqian Li.
-
Simulation as an engine of physical scene understanding pnas.org
Proceedings of the National Academy of Sciences, 2013. [All Versions]. [Appendix]. The first attempt to computationally simulate intuitive physics.
-
Limits on Simulation Approaches in Intuitive Physics sciencedirect.com
Cognitive Psychology, 2021. [All Versions]. Ernest Davis's perspective against intuitive physics, that physcial reasoning is logical reasoning instead of intuition.
-
Learning physical parameters from dynamic scenes sciencedirect.com
Cognitive Psychology, 2017. [All Versions].
-
Data-Efficient Learning for Complex and Real-Time Physical Problem Solving Using Augmented Simulation ieeexplore.ieee.org
Robotics and Automation Letters, 2021. [All Versions].
AGI & CoCoSci › Papers > Commonsense > Intuitive Physics: “Nature Human Behavior, 2022. [All Versions]. A machine-learning dataset designed to evaluate conceptual understanding of intuitive physics, adopting the violation-of-expectation (VoE) paradigm from developmental psychology; a deep-learning system that learns intuitive physics…”