- Metaphysics of the Bayesian mind.Justin Tiehen - 2022 - Mind and Language 38 (2):336-354.details
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Social Inference May Guide Early Lexical Learning.Alayo Tripp, Naomi H. Feldman & William J. Idsardi - 2021 - Frontiers in Psychology 12.details
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Calibrating Generative Models: The Probabilistic Chomsky-Schützenberger Hierarchy.Thomas Icard - 2020 - Journal of Mathematical Psychology 95.details
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In Search of the Factors Behind Naive Sentence Judgments: A State Trace Analysis of Grammaticality and Acceptability Ratings.Steven Langsford, Rachel G. Stephens, John C. Dunn & Richard L. Lewis - 2019 - Frontiers in Psychology 10.details
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Architecture of the mind and libertarian paternalism: is the reversibility of system 1 nudges likely to happen?Riccardo Viale - 2019 - Mind and Society 18 (2):143-166.details
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Subjective Probability as Sampling Propensity.Thomas Icard - 2016 - Review of Philosophy and Psychology 7 (4):863-903.details
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The new Tweety puzzle: arguments against monistic Bayesian approaches in epistemology and cognitive science.Matthias Unterhuber & Gerhard Schurz - 2013 - Synthese 190 (8):1407-1435.details
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Bayesian Intractability Is Not an Ailment That Approximation Can Cure.Johan Kwisthout, Todd Wareham & Iris van Rooij - 2011 - Cognitive Science 35 (5):779-784.details
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Précis of bayesian rationality: The probabilistic approach to human reasoning.Mike Oaksford & Nick Chater - 2009 - Behavioral and Brain Sciences 32 (1):69-84.details
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Controlled generation of hard and easy Bayesian networks: Impact on maximal clique size in tree clustering.Ole J. Mengshoel, David C. Wilkins & Dan Roth - 2006 - Artificial Intelligence 170 (16-17):1137-1174.details
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The Tractable Cognition Thesis.Iris Van Rooij - 2008 - Cognitive Science 32 (6):939-984.details
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Are we predictive engines? Perils, prospects, and the puzzle of the porous perceiver.Andy Clark - 2013 - Behavioral and Brain Sciences 36 (3):233-253.details
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Combining Background Knowledge and Learned Topics.Mark Steyvers, Padhraic Smyth & Chaitanya Chemuduganta - 2011 - Topics in Cognitive Science 3 (1):18-47.details
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How optimal is word recognition under multimodal uncertainty?Abdellah Fourtassi & Michael C. Frank - 2020 - Cognition 199 (C):104092.details
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Grammaticality, Acceptability, and Probability: A Probabilistic View of Linguistic Knowledge.Lau Jey Han, Clark Alexander & Lappin Shalom - 2017 - Cognitive Science 41 (5):1202-1241.details
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Popper's severity of test as an intuitive probabilistic model of hypothesis testing.Fenna H. Poletiek - 2009 - Behavioral and Brain Sciences 32 (1):99-100.details
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Modeling language and cognition with deep unsupervised learning: a tutorial overview.Marco Zorzi, Alberto Testolin & Ivilin P. Stoianov - 2013 - Frontiers in Psychology 4.details
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Tuning in to non-adjacencies: Exposure to learnable patterns supports discovering otherwise difficult structures.Martin Zettersten, Christine E. Potter & Jenny R. Saffran - 2020 - Cognition 202 (C):104283.details
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One and Done? Optimal Decisions From Very Few Samples.Edward Vul, Noah Goodman, Thomas L. Griffiths & Joshua B. Tenenbaum - 2014 - Cognitive Science 38 (4):599-637.details
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Flexible Conceptual Representations.Alyssa Truman & Marta Kutas - 2024 - Cognitive Science 48 (6):e13475.details
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Learning Orthographic Structure With Sequential Generative Neural Networks.Alberto Testolin, Ivilin Stoianov, Alessandro Sperduti & Marco Zorzi - 2016 - Cognitive Science 40 (3):579-606.details
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Judging the Probability of Hypotheses Versus the Impact of Evidence: Which Form of Inductive Inference Is More Accurate and Time‐Consistent?Katya Tentori, Nick Chater & Vincenzo Crupi - 2016 - Cognitive Science 40 (3):758-778.details
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Interpreting Silent Gesture: Cognitive Biases and Rational Inference in Emerging Language Systems.Marieke Schouwstra, Henriëtte de Swart & Bill Thompson - 2019 - Cognitive Science 43 (7):e12732.details
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Interpreting Silent Gesture: Cognitive Biases and Rational Inference in Emerging Language Systems.Marieke Schouwstra, Henriëtte Swart & Bill Thompson - 2019 - Cognitive Science 43 (7):e12732.details
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An interventionist approach to psychological explanation.Michael Rescorla - 2018 - Synthese 195 (5):1909-1940.details
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Faster Teaching via POMDP Planning.Anna N. Rafferty, Emma Brunskill, Thomas L. Griffiths & Patrick Shafto - 2016 - Cognitive Science 40 (6):1290-1332.details
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The learnability of abstract syntactic principles.Amy Perfors, Joshua B. Tenenbaum & Terry Regier - 2011 - Cognition 118 (3):306-338.details
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A Probabilistic Model of Semantic Plausibility in Sentence Processing.Ulrike Padó, Matthew W. Crocker & Frank Keller - 2009 - Cognitive Science 33 (5):794-838.details
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The uncertain reasoner: Bayes, logic, and rationality.Mike Oaksford & Nick Chater - 2009 - Behavioral and Brain Sciences 32 (1):105-120.details
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Bayesian Fundamentalism or Enlightenment? On the explanatory status and theoretical contributions of Bayesian models of cognition.Matt Jones & Bradley C. Love - 2011 - Behavioral and Brain Sciences 34 (4):169-188.details
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Using Neural Networks to Generate Inferential Roles for Natural Language.Peter Blouw & Chris Eliasmith - 2018 - Frontiers in Psychology 8:295741.details
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Cognitive Biases, Linguistic Universals, and Constraint‐Based Grammar Learning.Jennifer Culbertson, Paul Smolensky & Colin Wilson - 2013 - Topics in Cognitive Science 5 (3):392-424.details
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Tools from evolutionary biology shed new light on the diversification of languages.Stephen C. Levinson & Russell D. Gray - 2012 - Trends in Cognitive Sciences 16 (3):167-173.details
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Using Category Structures to Test Iterated Learning as a Method for Identifying Inductive Biases.Thomas L. Griffiths, Brian R. Christian & Michael L. Kalish - 2008 - Cognitive Science 32 (1):68-107.details
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The strengths of – and some of the challenges for – bayesian models of cognition.Thomas L. Griffiths - 2009 - Behavioral and Brain Sciences 32 (1):89-90.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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Three ideal observer models for rule learning in simple languages.Michael C. Frank & Joshua B. Tenenbaum - 2011 - Cognition 120 (3):360-371.details
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Prior Divergence: Do Researchers and Participants Share the Same Prior Probability Distributions?Christina Fang, Sari Carp & Zur Shapira - 2011 - Cognitive Science 35 (4):744-762.details
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Harmonic biases in child learners: In support of language universals.Jennifer Culbertson & Elissa L. Newport - 2015 - Cognition 139 (C):71-82.details
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A Bayesian Model of Biases in Artificial Language Learning: The Case of a Word‐Order Universal.Jennifer Culbertson & Paul Smolensky - 2012 - Cognitive Science 36 (8):1468-1498.details
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Evaluating the inverse reasoning account of object discovery.Christopher D. Carroll & Charles Kemp - 2015 - Cognition 139:130-153.details
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When Can Predictive Brains be Truly Bayesian?Mark Blokpoel, Johan Kwisthout & Iris van Rooij - 2012 - Frontiers in Psychology 3.details
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Face-to-face contact during infancy: How the development of gaze to faces feeds into infants’ vocabulary outcomes.Zsofia Belteki, Carlijn van den Boomen & Caroline Junge - 2022 - Frontiers in Psychology 13.details
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Statistical Learning Is Related to Reading Ability in Children and Adults.Joanne Arciuli & Ian C. Simpson - 2012 - Cognitive Science 36 (2):286-304.details
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