- Bayes and Blickets: Effects of Knowledge on Causal Induction in Children and Adults.Thomas L. Griffiths, David M. Sobel, Joshua B. Tenenbaum & Alison Gopnik - 2011 - Cognitive Science 35 (8):1407-1455.details
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Predictive coding and thought.Daniel Williams - 2020 - Synthese 197 (4):1749-1775.details
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The Preference for Joint Attributions Over Contrast-Factor Attributions in Causal Contrast Situations.Moyun Wang & Mingyi Zhu - 2019 - Frontiers in Psychology 10.details
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Introduction: Beyond empiricism in the social explanation of action.Robrecht Vanderbeeken * & Stefaan E. Cuypers - 2004 - Philosophical Explorations 7 (3):197-200.details
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A Causal Power Semantics for Generic Sentences.Robert van Rooij & Katrin Schulz - 2019 - Topoi 40 (1):131-146.details
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Reasoning and choice in the Monty Hall Dilemma (MHD): implications for improving Bayesian reasoning.Elisabet Tubau, David Aguilar-Lleyda & Eric D. Johnson - 2015 - Frontiers in Psychology 6:133474.details
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Goal-directed decision making as probabilistic inference: A computational framework and potential neural correlates.Alec Solway & Matthew M. Botvinick - 2012 - Psychological Review 119 (1):120-154.details
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Do We “do‘?Steven A. Sloman & David A. Lagnado - 2005 - Cognitive Science 29 (1):5-39.details
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Methodological empiricism and the choice of measurement models in social sciences.Clayton Peterson - 2018 - European Journal for Philosophy of Science 8 (3):831-854.details
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Integrating cognitive (neuro)science using mechanisms.Marcin Miłkowski - 2016 - Avant: Trends in Interdisciplinary Studies (2):45-67.details
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The reification objection to bottom-up cognitive ontology revision.Joseph B. McCaffrey & Edouard Machery - 2016 - Behavioral and Brain Sciences 39.details
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From Alan Turing to modern AI: practical solutions and an implicit epistemic stance.George F. Luger & Chayan Chakrabarti - 2017 - AI and Society 32 (3):321-338.details
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Bayesian generic priors for causal learning.Hongjing Lu, Alan L. Yuille, Mimi Liljeholm, Patricia W. Cheng & Keith J. Holyoak - 2008 - Psychological Review 115 (4):955-984.details
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Representing credal imprecision: from sets of measures to hierarchical Bayesian models.Daniel Lassiter - 2020 - Philosophical Studies 177 (6):1463-1485.details
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Explanatory relevance across disciplinary boundaries: the case of neuroeconomics.Jaakko Kuorikoski & Petri Ylikoski - 2010 - Journal of Economic Methodology 17 (2):219–228.details
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Learning to Learn Causal Models.Charles Kemp, Noah D. Goodman & Joshua B. Tenenbaum - 2010 - Cognitive Science 34 (7):1185-1243.details
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Causal powers.Eric Hiddleston - 2005 - British Journal for the Philosophy of Science 56 (1):27-59.details
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From mere coincidences to meaningful discoveries.Thomas L. Griffiths & Joshua B. Tenenbaum - 2007 - Cognition 103 (2):180-226.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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From Blickets to Synapses: Inferring Temporal Causal Networks by Observation.Chrisantha Fernando - 2013 - Cognitive Science 37 (8):1426-1470.details
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Causal Explanation and Fact Mutability in Counterfactual Reasoning.Morteza Dehghani, Rumen Iliev & Stefan Kaufmann - 2012 - Mind and Language 27 (1):55-85.details
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Simplicity and the Meaning of Mental Association.Mike Dacey - 2019 - Erkenntnis 84 (6):1207-1228.details
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Causal reasoning.Christoph Hoerl - 2011 - Philosophical Studies 152 (2):167-179.details
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Programs as Causal Models: Speculations on Mental Programs and Mental Representation.Nick Chater & Mike Oaksford - 2013 - Cognitive Science 37 (6):1171-1191.details
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Updating: A psychologically basic situation of probability revision.Jean Baratgin & Guy Politzer - 2010 - Thinking and Reasoning 16 (4):253-287.details
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Rationality, the Bayesian standpoint, and the Monty-Hall problem.Jean Baratgin - 2015 - Frontiers in Psychology 6:146013.details
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Two proposals for causal grammars.Thomas L. Griffiths & Joshua B. Tenenbaum - 2007 - In Alison Gopnik & Laura Schulz (eds.), Causal Learning: Psychology, Philosophy, and Computation. Oxford University Press. pp. 323--345.details
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Models of scientific explanation.Paul Thagard & Abninder Litt - 2008 - In Ron Sun (ed.), The Cambridge Handbook of Computational Psychology. Cambridge University Press. pp. 549--564.details
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Intuitive theories as grammars for causal inference.Joshua B. Tenenbaum, Thomas L. Griffiths & Sourabh Niyogi - 2007 - In Alison Gopnik & Laura Schulz (eds.), Causal Learning: Psychology, Philosophy, and Computation. Oxford University Press. pp. 301--322.details
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A primer on probabilistic inference.Thomas L. Griffiths & Alan Yuille - 2008 - In Nick Chater & Mike Oaksford (eds.), The Probabilistic Mind: Prospects for Bayesian Cognitive Science. Oxford University Press. pp. 33--57.details
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