Intuitive Physics: Current Research and Controversies
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[1] Razvan Pascanu,et al. Interaction Networks for Learning about Objects, Relations and Physics , 2016, NIPS.
[2] Jessica B. Hamrick,et al. Inferring mass in complex scenes by mental simulation , 2016, Cognition.
[3] John G. Mikhael,et al. Functional neuroanatomy of intuitive physical inference , 2016, Proceedings of the National Academy of Sciences.
[4] Marcel Adam Just,et al. Neural Representations of Physics Concepts , 2016, Psychological science.
[5] Ernest Davis,et al. The scope and limits of simulation in automated reasoning , 2016, Artif. Intell..
[6] Joshua B. Tenenbaum,et al. Building machines that learn and think like people , 2016, Behavioral and Brain Sciences.
[7] Rob Fergus,et al. Learning Physical Intuition of Block Towers by Example , 2016, ICML.
[8] Susan J. Hespos,et al. Five-Month-Old Infants Have General Knowledge of How Nonsolid Substances Behave and Interact , 2016, Psychological science.
[9] Chenfanfu Jiang,et al. Probabilistic Simulation Predicts Human Performance on Viscous Fluid-Pouring Problem , 2016, CogSci.
[10] Jiajun Wu,et al. Galileo: Perceiving Physical Object Properties by Integrating a Physics Engine with Deep Learning , 2015, NIPS.
[11] Thomas L. Griffiths,et al. Think again? The amount of mental simulation tracks uncertainty in the outcome , 2015, CogSci.
[12] Geoffrey E. Hinton,et al. Deep Learning , 2015, Nature.
[13] Kazushi Maruya,et al. Seeing liquids from visual motion , 2015, Vision Research.
[14] Joshua B. Tenenbaum,et al. How, whether, why: Causal judgments as counterfactual contrasts , 2015, CogSci.
[15] Wei Liang,et al. Evaluating Human Cognition of Containing Relations with Physical Simulation , 2015, CogSci.
[16] Joshua B. Tenenbaum,et al. Humans predict liquid dynamics using probabilistic simulation , 2015, CogSci.
[17] C. Howe,et al. Children's conceptions of physical events: explicit and tacit understanding of horizontal motion. , 2014, The British journal of developmental psychology.
[18] Jessica B. Hamrick,et al. Simulation as an engine of physical scene understanding , 2013, Proceedings of the National Academy of Sciences.
[19] Vikash K. Mansinghka,et al. Reconciling intuitive physics and Newtonian mechanics for colliding objects. , 2013, Psychological review.
[20] J. Stockman. Pure Reasoning in 12-Month-Old Infants as Probabilistic Inference , 2013 .
[21] Kevin A. Smith,et al. Consistent physics underlying ballistic motion prediction , 2013, CogSci.
[22] Geoffrey E. Hinton,et al. ImageNet classification with deep convolutional neural networks , 2012, Commun. ACM.
[23] Kevin A. Smith,et al. Sources of uncertainty in intuitive physics , 2012, CogSci.
[24] Charles Kemp,et al. How to Grow a Mind: Statistics, Structure, and Abstraction , 2011, Science.
[25] P. White. Perception of forces exerted by objects in collision events. , 2009, Psychological review.
[26] R. Baillargeon. The Acquisition of Physical Knowledge in Infancy: A Summary in Eight Lessons , 2007 .
[27] A. Cohen. Contributions of invariants, heuristics, and exemplars to the visual perception of relative mass. , 2006, Journal of experimental psychology. Human perception and performance.
[28] Alan L. Yuille,et al. Ideal Observers for Detecting Motion: Correspondence Noise , 2005, NIPS.
[29] M. Hegarty. Mechanical reasoning by mental simulation , 2004, Trends in Cognitive Sciences.
[30] Henrik Olsson,et al. Visual perception of dynamic properties: cue heuristics versus direct-perceptual competence. , 2000, Psychological review.
[31] A. Markman,et al. In Defense of Representation , 2000, Cognitive Psychology.
[32] E. Spelke,et al. Perception and understanding of effects of gravity and inertia on object motion , 1999 .
[33] Daniel L. Schwartz,et al. Inferences through imagined actions: Knowing by simulated doing. , 1999 .
[34] Yoshua Bengio,et al. Convolutional networks for images, speech, and time series , 1998 .
[35] Geoffrey E. Hinton,et al. NeuroAnimator: fast neural network emulation and control of physics-based models , 1998, SIGGRAPH.
[36] E. Adelson,et al. Slow and Smooth: A Bayesian theory for the combination of local motion signals in human vision , 1998 .
[37] D. Proffitt,et al. Heuristic judgment of mass ratio in two-body collisions , 1994, Perception & psychophysics.
[38] R. Baillargeon. How Do Infants Learn About the Physical World? , 1994 .
[39] N. J. Cook,et al. Constructing naive theories of motion on the fly , 1994, Memory & cognition.
[40] E. Spelke. Initial knowledge: six suggestions , 1994, Cognition.
[41] H. Hecht,et al. Influence of animation on dynamical judgments. , 1992, Journal of experimental psychology. Human perception and performance.
[42] D. Proffitt,et al. Understanding the surface orientation of liquids , 1991, Cognitive Psychology.
[43] D. Proffitt,et al. Understanding wheel dynamics , 1990, Cognitive Psychology.
[44] A. M. Turing,et al. Computing Machinery and Intelligence , 1950, The Philosophy of Artificial Intelligence.
[45] J. Jonides,et al. Intuitive reasoning about abstract and familiar physics problems , 1986, Memory & cognition.
[46] M. McCloskey,et al. The development of beliefs about falling objects , 1985, Perception & psychophysics.
[47] Y Y Zeevi,et al. A purely central movement aftereffect induced by binocular viewing of dynamic visual noise , 1985, Perception & psychophysics.
[48] D. Proffitt,et al. Judgments of natural and anomalous trajectories in the presence and absence of motion. , 1985, Journal of experimental psychology. Learning, memory, and cognition.
[49] M. McCloskey,et al. Intuitive physics: the straight-down belief and its origin. , 1983, Journal of experimental psychology. Learning, memory, and cognition.
[50] J. Dauben. Georg Cantor and the Origins of Transfinite Set Theory , 1983 .
[51] S. Runeson. On visual perception of dynamic events , 1983 .
[52] M. McCloskey,et al. Naive physics: the curvilinear impetus principle and its role in interactions with moving objects. , 1983, Journal of experimental psychology. Learning, memory, and cognition.
[53] J T Todd,et al. Visual Perception of Relative Mass in Dynamic Events , 1982, Perception.
[54] Andrea A. diSessa,et al. Unlearning Aristotelian Physics: A Study of Knowledge-Based Learning , 1982, Cogn. Sci..
[55] A. Caramazza,et al. Naive beliefs in “sophisticated” subjects: misconceptions about trajectories of objects , 1981, Cognition.
[56] A. Caramazza,et al. Curvilinear motion in the absence of external forces: naive beliefs about the motion of objects. , 1980, Science.
[57] I P Howard,et al. Recognition and Knowledge of the Water-Level Principle , 1978, Perception.
[58] A. Michotte. The perception of causality , 1963 .
[59] F. J. Langdon,et al. The Child's Conception of Space , 1967 .