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Building machines that learn and think like people. (2016). machines_that_think.pdf (3.45 MB)
Coordinate to cooperate or compete: abstract goals and joint intentions in social interaction. Proceedings of the 38th Annual Conference of the Cognitive Science Society (2016). kleiman2016coordinate.pdf (266.87 KB)
Effort as a bridging concept across action and action understanding: Weight and Physical Effort in Predictions of Efficiency in Other Agents. International Conference on Infant Studies (ICIS) (2016).
Functional neuroanatomy of intuitive physical inference. Proceedings of the National Academy of Sciences 113, E5072 - E5081 (2016).
Integrating Identification and Perception: A case study of familiar and unfamiliar face processing. Proceedings of the Thirty-Eight Annual Conference of the Cognitive Science Society (2016). allen_5_13.pdf (2.13 MB)
Oxford Handbook of Causal Reasoning (Oxford University Press, 2016). Intuitive Theories (Gerstenberg, Tenenbaum, 2016.pdf (6.06 MB)
Measuring and modeling the perception of natural and unconstrained gaze in humans and machines. (2016). CBMM-Memo-059.pdf (1.71 MB)
Modeling Human Ad Hoc Coordination. AAAI (2016). krafft_aaai2016.pdf (247.58 KB)
Modeling human understanding of complex intentional action with a Bayesian nonparametric subgoal model. AAAI (2016). nakahashi_aaai2016.pdf (1.74 MB)
The naive utility calculus: computational principles underlying social cognition. Trends Cogn Sci. (2016). doi:10.1016/j.tics.2016.05.011
Natural science: Active learning in dynamic physical microworlds. 38th Annual Meeting of the Cognitive Science Society (2016). Natural Science (Bramley, Gerstenberg, Tenenbaum, 2016).pdf (5.39 MB)
Probing the compositionality of intuitive functions. (2016). CBMM-Memo-048.pdf (815.72 KB)
Rapid Physical Predictions from Convolutional Neural Networks. Neural Information Processing Systems, Intuitive Physics Workshop (2016). at <http://phys.csail.mit.edu/papers/9.pdf> Rapid Physical Predictions - NIPS Physics Workshop Poster (1.47 MB)
Understanding "almost": Empirical and computational studies of near misses. 38th Annual Meeting of the Cognitive Science Society (2016). Understanding almost (Gerstenberg, Tenenbaum, 2016).pdf (4.08 MB)
The causes and consequences explicit in verbs. Language, Cognition and Neuroscience 30, 716-734 (2015).
Children’s understanding of the costs and rewards underlying rational action. Cognition 140, 14–23 (2015). CM_inPress.pdf (438.5 KB)
Computational rationality: A converging paradigm for intelligence in brains, minds, and machines. Science 349, 273-278 (2015).
Discovering hierarchical motion structure. Vision Research Available online 26 March 2015, (2015). hierarchical_motion.pdf (582.01 KB)
Efficient and robust analysis-by-synthesis in vision: A computational framework, behavioral tests, and modeling neuronal representations. Annual Conference of the Cognitive Science Society (2015). yildirimetal_cogsci15.pdf (3.22 MB)
Galileo: Perceiving physical object properties by integrating a physics engine with deep learning. NIPS 2015 (2015). at <https://papers.nips.cc/paper/5780-galileo-perceiving-physical-object-properties-by-integrating-a-physics-engine-with-deep-learning>
How, whether, why: Causal judgments as counterfactual contrasts. Annual Meeting of the Cognitive Science Society (CogSci) 782-787 (2015). at <https://mindmodeling.org/cogsci2015/papers/0142/index.html> GerstenbergEtAl2015-Cogsci.pdf (2.16 MB)
Human-level concept learning through probabilistic program induction. Science 350, 1332-1338 (2015).
Hypothesis-Space Constraints in Causal Learning. Annual Meeting of the Cognitive Science Society (CogSci) (2015). at <https://mindmodeling.org/cogsci2015/papers/0418/index.html> hypothesis_space_constraints (1).pdf (1.54 MB)
Information Selection in Noisy Environments with Large Action Spaces. 9th Biennial Conference of the Cognitive Development Society Columbus, OH, (2015).
Not So Innocent: Toddlers’ Inferences About Costs and Culpability. Psychological Science 26, 633-40 (2015). NotSoInnocent_InPress.pdf (238.53 KB)