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127
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Hierarchical topic models and the nested Chinese restaurant process
– David M. Blei, Thomas L. Griffiths, Michael I. Jordan, Joshua B. Tenenbaum
- 2004
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5
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Inferring hidden causes
– T Kushnir, A Gopnik, L Schulz, D Danks
- 2003
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17
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God does not play dice: Causal determinism and preschool causal inferences
– L E Schulz, J Sommerville
- 2006
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17
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Probabilistic models of language processing and acquisition
– N Chater, C Manning
- 2006
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8
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Two proposals for causal grammar
– Thomas L. Griffiths, Joshua B. Tenenbaum
- 2007
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11
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Causal learning across domains
– Laura E. Schulz, Alison Gopnik
- 2004
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31
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Children’s causal inferences from indirect evidence: Backwards blocking and Bayesian reasoning in preschoolers
– D M Sobel, J B Tenenbaum, A Gopnik
- 2004
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60
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The mind’s arrows: Bayes nets and graphical causal models in psychology
– C Glymour
- 2001
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377
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Parallel distributed processing: Explorations in the microstructure of cognition
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303
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A theory of Pavlovian conditioning: variations in the effectiveness of reinforcement and nonreinforcement
– R A Rescorla, A R Wagner
- 1972
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211
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Conceptual Change in Childhood
– S Carey
- 1985
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108
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Core knowledge
– E Spelke
- 2000
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29
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Cognitive development: foundational theories of core domains
– H M Wellman, S A Gelman
- 1992
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99
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Words, thoughts, and theories
– A Gopnik, A N Meltzoff
- 1997
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28
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Causal learning mechanisms in very young children: two-, three-, and four-year-olds infer causal relations from patterns of variation and covariation
– A Gopnik, D M Sobel, L E Schulz, C Glymour
- 2001
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47
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Theory-based Bayesian models of inductive learning and reasoning
– Joshua B. Tenenbaum, Charles Kemp, Patrick Shafto
- 2006
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11
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Intuitive theories as grammars for causal inference
– Joshua B. Tenenbaum, Thomas L. Griffiths, Sourabh Niyogi
- 2007
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477
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Vision
– D Marr
- 1982
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95
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A theory of causal learning in children: Causal maps and Bayes nets
– Alison Gopnik, Clark Glymour, David M. Sobel, Laura E. Schulz, Tamar Kushnir, David Danks
- 2004
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