Intuitive physics learning in a deep-learning model inspired by developmental psychology.
Journal Information
Full Title: Nat Hum Behav
Abbreviation: Nat Hum Behav
Country: Unknown
Publisher: Unknown
Language: N/A
Publication Details
Subject Category: Behavioral Sciences
Available in Europe PMC: Yes
Available in PMC: Yes
PDF Available: No
Related Papers from Same Journal
Transparency Score
Transparency Indicators
Click on green indicators to view evidence textCore Indicators
"data availability instructions on accessing the physical concepts dataset are available at https://github com/deepmind/physical_concepts code availability our implementation of plato is not externally viable but the corresponding author may be contacted for any clarifying questions on implementation details for building plato."
"data availability instructions on accessing the physical concepts dataset are available at https://github com/deepmind/physical_concepts code availability our implementation of plato is not externally viable but the corresponding author may be contacted for any clarifying questions on implementation details for building plato."
"Competing interests The authors declare no competing interests."
"We thank C. Lew-Williams and K. Norman for input throughout this project; M. Shanahan, C. Burgess, M. Overlan and K. Allen for feedback on earlier versions of this manuscript. The authors received no specific funding for this work."
Additional Indicators
Assessment Info
Tool: rtransparent
OST Version: N/A
Last Updated: Aug 05, 2025