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What Could Go Wrong: Adults and Children Calibrate Predictions and Explanations of Others' Actions Based on Relative Reward and Danger.

, , , and . Cogn. Sci., (2022)

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Building Machines That Learn and Think Like People, , , and . (2009)In-Context Learning Dynamics with Random Binary Sequences., , , , and . CoRR, (2023)Thinking and Guessing: Bayesian and Empirical Models of How Humans Search., , , and . CogSci, cognitivesciencesociety.org, (2017)Look before you leap: Quantitative tradeoffs between peril and reward in action understanding., , , and . CogSci, cognitivesciencesociety.org, (2020)Large Language Models Fail on Trivial Alterations to Theory-of-Mind Tasks.. CoRR, (2023)Unsupervised Discovery of 3D Physical Objects from Video., , , , and . CoRR, (2020)A Bayesian-Symbolic Approach to Reasoning and Learning in Intuitive Physics., , , , , , and . NeurIPS, page 2478-2490. (2021)AGENT: A Benchmark for Core Psychological Reasoning., , , , , , , , and . ICML, volume 139 of Proceedings of Machine Learning Research, page 9614-9625. PMLR, (2021)People's perception of others' risk preferences., , and . CogSci, page 678-684. cognitivesciencesociety.org, (2019)Sticking to the Evidence? A Behavioral and Computational Case Study of Micro-Theory Change in the Domain of Magnetism., , , , and . Cogn. Sci., (2019)