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Modeling Expectation Violation in Intuitive Physics with Coarse Probabilistic Object Representations., , , , , , and . NeurIPS, page 8983-8993. (2019)Temporal and Object Quantification Networks., , , , , , and . IJCAI, page 2804-2811. ijcai.org, (2021)Outcome or Strategy? A Bayesian Model of Intelligence Attribution., , , and . CogSci, cognitivesciencesociety.org, (2016)Coalescing the Vapors of Human Experience into a Viable and Meaningful Comprehension., , , and . CogSci, cognitivesciencesociety.org, (2016)Moral Dynamics: A Computational Model of Moral Judgment., , , , and . CogSci, cognitivesciencesociety.org, (2018)Weight matters: The role of physical weight in non-physical language across age and culture., , , , and . CogSci, cognitivesciencesociety.org, (2017)Comparing the Evaluation and Production of Loophole Behavior in Humans and Large Language Models., , , , and . EMNLP (Findings), page 4010-4025. Association for Computational Linguistics, (2023)The fine structure of surprise in intuitive physics: when, why, and how much?, , , , , , and . CogSci, cognitivesciencesociety.org, (2020)Learning physical theories from dynamical scenes., , , and . CogSci, cognitivesciencesociety.org, (2014)Probabilistic generative models for counterfactual reasoning and blame attribution., , , , and . CogSci, cognitivesciencesociety.org, (2012)