Contributor: Bo Dai
Reading list
survey/review/perspective paper book chapter
Required
- Intuitive Physics: Current Research and Controversies, TiCS 2019
- Building machines that learn and think like people (Section 4.1.1), BBS 2016
- Dark, Beyond Deep: A Paradigm Shift to Cognitive AI with Humanlike Common Sense (Section 4), Engineering 2020
- Intuitive physics as probabilistic inference
- Simulation as an engine of physical scene understanding, PNAS 2013
Optional - Perceiving Physics
- Scene perception: Detecting and judging objects undergoing relational violations, Cognitive Psychology 1982
- Infants Physical Reasoning and the Cognitive Architecture that Supports It, The Cambridge Handbook of Cognitive Development (2022)
Optional - Intuitive Physics
- Rapid trial-and-error learning with simulation supports flexible tool use and physical reasoning, PNAS 2020
- Core knowledge, Developmental Science 2007
- Physical symbol systems, Cognitive Science 1980
- Probabilistic Simulation Predicts Human Performance on Viscous Fluid-Pouring Problem, CogSci 2016
- Mind Games: Game Engines as an Architecture for Intuitive Physics, TiCS 2017
- The fine structure of surprise in intuitive physics: when, why, and how much?, CogSci 2020
- Intuitive physics learning in a deep-learning model inspired by developmental psychology, Nature Human Behavior 2022
- On the Learning Mechanisms in Physical Reasoning, NeurIPS 2022
- Sources of uncertainty in intuitive physics, TiCS 2013
- Different physical intuitions exist between tasks, not domains, Computational Brain & Behavior 2018
- Partial mental simulation explains fallacies in physical reasoning, Cognitive Neuropsychology 2022
- “Just in Time” representations for mental simulation in intuitive physics, CogSci 2023
- A Survey on Machine Learning Approaches for Modelling Intuitive Physics, arXiv 2202.06481
Optional - Controversies of Intuitive Physics
- How Robust Are Probabilistic Models of Higher-Level Cognition?, Psychological Science 2013
- Relevant and Robust: A Response to Marcus and Davis (2013), Psychological Science 2013
- Limits on simulation approaches in intuitive physics, Cognitive Psychology 2021
Optional - Intuitive Physics for Computer Vision
- Beyond point clouds: Scene understanding by reasoning geometry and physics, CVPR 2013
- Scene Understanding by Reasoning Stability and Safety, IJCV 2015
- Galileo: Perceiving Physical Object Properties by Integrating a Physics Engine with Deep Learning, NeurIPS 2015
- Learning to See Physics via Visual De-animation, NeurIPS 2017
- Physion: Evaluating Physical Prediction from Vision in Humans and Machines, NeurIPS 2021
Optional - Containment
- Evaluating Human Cognition of Containing Relations with Physical Simulation, CogSci 2015
- Tracking Occluded Objects and Recovering Incomplete Trajectories by Reasoning about Containment Relations and Human Actions, AAAI 2018
- Commonsense reasoning about containers using radically incomplete information, Artificial Intelligence 2017
Essay
- Do humans have an intuitive physics engine? Based on evidence from computational, neuro, and behavioral literature, discuss whether an intuitive physics engine does exist and whether it is simulation-based/innate/nurture. If not, provide an alternative hypothesis and design a computational method proposal to justify it.
- Choose some magic shows and describe what commonsense is violated in these shows according to what you have learned. If an AI can reason and be surprised by these magic shows, how can the AI learn to acquire common sense and use it for reasoning?