- Towards a rational constructivist theory of cognitive development.Fei Xu - 2019 - Psychological Review 126 (6):841-864.details
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Building machines that learn and think like people.Brenden M. Lake, Tomer D. Ullman, Joshua B. Tenenbaum & Samuel J. Gershman - 2017 - Behavioral and Brain Sciences 40.details
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The Epistemology of Rational Constructivism.Mark Fedyk & Fei Xu - 2018 - Review of Philosophy and Psychology 9 (2):343-362.details
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Features of similarity.Amos Tversky - 1977 - Psychological Review 84 (4):327-352.details
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A Theory of Causal Learning in Children: Causal Maps and Bayes Nets.Alison Gopnik, Clark Glymour, Laura Schulz, Tamar Kushnir & David Danks - 2004 - Psychological Review 111 (1):3-32.details
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Learning the Form of Causal Relationships Using Hierarchical Bayesian Models.Christopher G. Lucas & Thomas L. Griffiths - 2010 - Cognitive Science 34 (1):113-147.details
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Context theory of classification learning.Douglas L. Medin & Marguerite M. Schaffer - 1978 - Psychological Review 85 (3):207-238.details
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Resource-rational analysis: understanding human cognition as the optimal use of limited computational resources.Falk Lieder & Thomas L. Griffiths - forthcoming - Behavioral and Brain Sciences:1-85.details
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Learning a theory of causality.Noah D. Goodman, Tomer D. Ullman & Joshua B. Tenenbaum - 2011 - Psychological Review 118 (1):110-119.details
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Structured statistical models of inductive reasoning.Charles Kemp & Joshua B. Tenenbaum - 2009 - Psychological Review 116 (1):20-58.details
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Blind variation and selective retentions in creative thought as in other knowledge processes.Donald T. Campbell - 1960 - Psychological Review 67 (6):380-400.details
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Children adapt their questions to achieve efficient search.Azzurra Ruggeri & Tania Lombrozo - 2015 - Cognition 143 (C):203-216.details
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Stimulus generalization in the learning of classifications.Roger N. Shepard & Jih-Jie Chang - 1963 - Journal of Experimental Psychology 65 (1):94.details
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What do children know about the universal quantifiers all and each?Patricia J. Brooks & Martin D. S. Braine - 1996 - Cognition 60 (3):235-268.details
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The scientist as child.Alison Gopnik - 1996 - Philosophy of Science 63 (4):485-514.details
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The Computational Origin of Representation.Steven T. Piantadosi - 2020 - Minds and Machines 31 (1):1-58.details
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Formalizing Neurath’s ship: Approximate algorithms for online causal learning.Neil R. Bramley, Peter Dayan, Thomas L. Griffiths & David A. Lagnado - 2017 - Psychological Review 124 (3):301-338.details
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The anchoring bias reflects rational use of cognitive resources.F. Lieder, T. L. Griffiths, Q. J. Quentin & N. D. Goodman - unknowndetails
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Theory-based causal induction.Thomas L. Griffiths & Joshua B. Tenenbaum - 2009 - Psychological Review 116 (4):661-716.details
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ALCOVE: An exemplar-based connectionist model of category learning.John K. Kruschke - 1992 - Psychological Review 99 (1):22-44.details
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Rule-plus-exception model of classification learning.Robert M. Nosofsky, Thomas J. Palmeri & Stephen C. McKinley - 1994 - Psychological Review 101 (1):53-79.details
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The child as scientist.Alison Gopnik - 1996 - Philosophy of Science 63 (4):485-514.details
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When children are better (or at least more open-minded) learners than adults: Developmental differences in learning the forms of causal relationships.Christopher G. Lucas, Sophie Bridgers, Thomas L. Griffiths & Alison Gopnik - 2014 - Cognition 131 (2):284-299.details
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Going beyond the evidence: Abstract laws and preschoolers’ responses to anomalous data.Laura E. Schulz, Noah D. Goodman, Joshua B. Tenenbaum & Adrianna C. Jenkins - 2008 - Cognition 109 (2):211-223.details
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Bootstrapping in a language of thought: A formal model of numerical concept learning.Steven T. Piantadosi, Joshua B. Tenenbaum & Noah D. Goodman - 2012 - Cognition 123 (2):199-217.details
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Dual Space Search During Scientific Reasoning.David Klahr & Kevin Dunbar - 1988 - Cognitive Science 12 (1):1-48.details
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Bayesian collective learning emerges from heuristic social learning.P. M. Krafft, Erez Shmueli, Thomas L. Griffiths, Joshua B. Tenenbaum & Alex “Sandy” Pentland - 2021 - Cognition 212 (C):104469.details
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The Bayesian sampler: Generic Bayesian inference causes incoherence in human probability judgments.Jian-Qiao Zhu, Adam N. Sanborn & Nick Chater - 2020 - Psychological Review 127 (5):719-748.details
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SUSTAIN: A Network Model of Category Learning.Bradley C. Love, Douglas L. Medin & Todd M. Gureckis - 2004 - Psychological Review 111 (2):309-332.details
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A Rational Analysis of Rule-Based Concept Learning.Noah D. Goodman, Joshua B. Tenenbaum, Jacob Feldman & Thomas L. Griffiths - 2008 - Cognitive Science 32 (1):108-154.details
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Rational Use of Cognitive Resources: Levels of Analysis Between the Computational and the Algorithmic.Thomas L. Griffiths, Falk Lieder & Noah D. Goodman - 2015 - Topics in Cognitive Science 7 (2):217-229.details
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Inferring causal networks from observations and interventions.Mark Steyvers, Joshua B. Tenenbaum, Eric-Jan Wagenmakers & Ben Blum - 2003 - Cognitive Science 27 (3):453-489.details
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The logical primitives of thought: Empirical foundations for compositional cognitive models.Steven T. Piantadosi, Joshua B. Tenenbaum & Noah D. Goodman - 2016 - Psychological Review 123 (4):392-424.details
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Dual Space Search During Scientific Reasoning.David Klahr & Kevin Dunbar - 1988 - Cognitive Science 12 (1):1-48.details
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Children’s sequential information search is sensitive to environmental probabilities.Jonathan D. Nelson, Bojana Divjak, Gudny Gudmundsdottir, Laura F. Martignon & Björn Meder - 2014 - Cognition 130 (1):74-80.details
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Hypothesis generation, sparse categories, and the positive test strategy.Daniel J. Navarro & Amy F. Perfors - 2011 - Psychological Review 118 (1):120-134.details
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How basic-level objects facilitate question-asking in a categorization task.Azzurra Ruggeri & Markus A. Feufel - 2015 - Frontiers in Psychology 6.details
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