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Distributed Code for Semantic Relations Predicts Neural Similarity during Analogical Reasoning., , , , and . J. Cogn. Neurosci., 33 (3): 377-389 (2021)The Martian: Examining Human Physical Judgments across Virtual Gravity Fields., , , , , and . IEEE Trans. Vis. Comput. Graph., 23 (4): 1399-1408 (2017)Theory-based Causal Transfer: Integrating Instance-level Induction and Abstract-level Structure Learning., , , , , and . CoRR, (2019)Zero-shot visual reasoning through probabilistic analogical mapping., , , , and . CoRR, (2022)Probabilistic Analogical Mapping with Semantic Relation Networks., , and . CoRR, (2021)Transformability, generalizability, but limited diffusibility: Comparing global vs. task-specific language representations in deep neural networks., , and . Cogn. Syst. Res., (January 2024)Human Causal Transfer: Challenges for Deep Reinforcement Learning., , , , , , and . CogSci, cognitivesciencesociety.org, (2018)Animation Facilitates Source Understanding and Spontaneous Analogical Transfer., , and . CogSci, cognitivesciencesociety.org, (2015)Learning Perceptual Inference by Contrasting., , , , , and . NeurIPS, page 1073-1085. (2019)Causal versus Associative Relations: Do Humans Perceive and Represent Them Differently?, , , and . CogSci, cognitivesciencesociety.org, (2022)