- An improved probabilistic account of counterfactual reasoning.Christopher G. Lucas & Charles Kemp - 2015 - Psychological Review 122 (4):700-734.details
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Raising the Roof: Situating Verbs in Symbolic and Embodied Language Processing.John Hollander & Andrew Olney - 2024 - Cognitive Science 48 (4):e13442.details
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Mapping semantic space: Exploring the higher-order structure of word meaning.Veronica Diveica, Emiko J. Muraki, Richard J. Binney & Penny M. Pexman - 2024 - Cognition 248 (C):105794.details
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A dynamic approach to recognition memory.Gregory E. Cox & Richard M. Shiffrin - 2017 - Psychological Review 124 (6):795-860.details
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Overrated gaps: Inter-speaker gaps provide limited information about the timing of turns in conversation.Ruth E. Corps, Birgit Knudsen & Antje S. Meyer - 2022 - Cognition 223 (C):105037.details
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Analyzing the history of Cognition using Topic Models.Uriel Cohen Priva & Joseph L. Austerweil - 2015 - Cognition 135:4-9.details
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Generative Inferences Based on Learned Relations.Dawn Chen, Hongjing Lu & Keith J. Holyoak - 2017 - Cognitive Science 41 (S5):1062-1092.details
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The importance of iteration in creative conceptual combination.Joel Chan & Christian D. Schunn - 2015 - Cognition 145:104-115.details
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A data-driven computational semiotics: The semantic vector space of Magritte’s artworks.Jean-François Chartier, Davide Pulizzotto, Louis Chartrand & Jean-Guy Meunier - 2019 - Semiotica 2019 (230):19-69.details
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Adjacent and Non‐Adjacent Word Contexts Both Predict Age of Acquisition of English Words: A Distributional Corpus Analysis of Child‐Directed Speech.Lucas M. Chang & Gedeon O. Deák - 2020 - Cognitive Science 44 (11):e12899.details
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Words with Consistent Diachronic Usage Patterns are Learned Earlier: A Computational Analysis Using Temporally Aligned Word Embeddings.Giovanni Cassani, Federico Bianchi & Marco Marelli - 2021 - Cognitive Science 45 (4):e12963.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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Modeling Brain Representations of Words' Concreteness in Context Using GPT‐2 and Human Ratings.Andrea Bruera, Yuan Tao, Andrew Anderson, Derya Çokal, Janosch Haber & Massimo Poesio - 2023 - Cognitive Science 47 (12):e13388.details
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Investigating the Extent to which Distributional Semantic Models Capture a Broad Range of Semantic Relations.Kevin S. Brown, Eiling Yee, Gitte Joergensen, Melissa Troyer, Elliot Saltzman, Jay Rueckl, James S. Magnuson & Ken McRae - 2023 - Cognitive Science 47 (5):e13291.details
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What corpus-based Cognitive Linguistics can and cannot expect from neurolinguistics.Alice Blumenthal-Dramé - 2016 - Cognitive Linguistics 27 (4):493-505.details
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The semantic representation of prejudice and stereotypes.Sudeep Bhatia - 2017 - Cognition 164 (C):46-60.details
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Naturalistic multiattribute choice.Sudeep Bhatia & Neil Stewart - 2018 - Cognition 179 (C):71-88.details
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Semantic micro-dynamics as a reflex of occurrence frequency: a semantic networks approach.Andreas Baumann, Klaus Hofmann, Anna Marakasova, Julia Neidhardt & Tanja Wissik - 2023 - Cognitive Linguistics 34 (3-4):533-568.details
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Strudel: A Corpus‐Based Semantic Model Based on Properties and Types.Marco Baroni, Brian Murphy, Eduard Barbu & Massimo Poesio - 2010 - Cognitive Science 34 (2):222-254.details
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Strudel: A Corpus‐Based Semantic Model Based on Properties and Types.Marco Baroni, Eduard Barbu, Brian Murphy & Massimo Poesio - 2010 - Cognitive Science 34 (2):222-254.details
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The Hidden Markov Topic Model: A Probabilistic Model of Semantic Representation.Mark Andrews & Gabriella Vigliocco - 2010 - Topics in Cognitive Science 2 (1):101-113.details
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Reconciling Embodied and Distributional Accounts of Meaning in Language.Mark Andrews, Stefan Frank & Gabriella Vigliocco - 2014 - Topics in Cognitive Science 6 (3):359-370.details
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Integrating experiential and distributional data to learn semantic representations.Mark Andrews, Gabriella Vigliocco & David Vinson - 2009 - Psychological Review 116 (3):463-498.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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Précis of Doing without Concepts.Edouard Machery - 2010 - Behavioral and Brain Sciences 33 (2-3):195-206.details
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Determining the Relativity of Word Meanings Through the Construction of Individualized Models of Semantic Memory.Brendan T. Johns - 2024 - Cognitive Science 48 (2):e13413.details
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Salience and Attention in Surprisal-Based Accounts of Language Processing.Alessandra Zarcone, Marten van Schijndel, Jorrig Vogels & Vera Demberg - 2016 - Frontiers in Psychology 7.details
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Word learning as Bayesian inference.Fei Xu & Joshua B. Tenenbaum - 2007 - Psychological Review 114 (2):245-272.details
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Distributional Models of Category Concepts Based on Names of Category Members.Matthijs Westera, Abhijeet Gupta, Gemma Boleda & Sebastian Padó - 2021 - Cognitive Science 45 (9):e13029.details
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Do Additional Features Help or Hurt Category Learning? The Curse of Dimensionality in Human Learners.Wai Keen Vong, Andrew T. Hendrickson, Danielle J. Navarro & Amy Perfors - 2019 - Cognitive Science 43 (3):e12724.details
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Do Additional Features Help or Hurt Category Learning? The Curse of Dimensionality in Human Learners.Wai Keen Vong, Andrew T. Hendrickson, Danielle J. Navarro & Andrew Perfors - 2019 - Cognitive Science 43 (3).details
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Learning and Processing Abstract Words and Concepts: Insights From Typical and Atypical Development.Gabriella Vigliocco, Marta Ponari & Courtenay Norbury - 2018 - Topics in Cognitive Science 10 (3):533-549.details
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Spicy Adjectives and Nominal Donkeys: Capturing Semantic Deviance Using Compositionality in Distributional Spaces.Eva M. Vecchi, Marco Marelli, Roberto Zamparelli & Marco Baroni - 2017 - Cognitive Science 41 (1):102-136.details
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When Stronger Knowledge Slows You Down: Semantic Relatedness Predicts Children's Co‐Activation of Related Items in a Visual Search Paradigm.Catarina Vales & Anna V. Fisher - 2019 - Cognitive Science 43 (6):e12746.details
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Exploring What Is Encoded in Distributional Word Vectors: A Neurobiologically Motivated Analysis.Akira Utsumi - 2020 - Cognitive Science 44 (6):e12844.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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Starting with tacit knowledge, ending with Durkheim? [REVIEW]Stephen P. Turner - 2011 - Studies in History and Philosophy of Science Part A 42 (3):472-476.details
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Comparing Methods for Single Paragraph Similarity Analysis.Benjamin Stone, Simon Dennis & Peter J. Kwantes - 2011 - Topics in Cognitive Science 3 (1):92-122.details
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The Episodic Nature of Experience: A Dynamical Systems Analysis.Sreekumar Vishnu, Dennis Simon & Doxas Isidoros - 2017 - Cognitive Science 41 (5):1377-1393.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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Modeling the Structure and Dynamics of Semantic Processing.Armand S. Rotaru, Gabriella Vigliocco & Stefan L. Frank - 2018 - Cognitive Science 42 (8):2890-2917.details
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Constructing Semantic Models From Words, Images, and Emojis.Armand S. Rotaru & Gabriella Vigliocco - 2020 - Cognitive Science 44 (4):e12830.details
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Redundancy in Perceptual and Linguistic Experience: Comparing Feature-Based and Distributional Models of Semantic Representation.Brian Riordan & Michael N. Jones - 2011 - Topics in Cognitive Science 3 (2):303-345.details
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Similarity Judgment Within and Across Categories: A Comprehensive Model Comparison.Russell Richie & Sudeep Bhatia - 2021 - Cognitive Science 45 (8):e13030.details
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Perspectives on Modeling in Cognitive Science.Richard M. Shiffrin - 2010 - Topics in Cognitive Science 2 (4):736-750.details
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One or two dimensions in spontaneous classification: A simplicity approach.Emmanuel M. Pothos & James Close - 2008 - Cognition 107 (2):581-602.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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Parallelograms revisited: Exploring the limitations of vector space models for simple analogies.Joshua C. Peterson, Dawn Chen & Thomas L. Griffiths - 2020 - Cognition 205 (C):104440.details
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Using Wikipedia to learn semantic feature representations of concrete concepts in neuroimaging experiments.Francisco Pereira, Matthew Botvinick & Greg Detre - 2013 - Artificial Intelligence 194 (C):240-252.details
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Bayesian Models of Cognition: What's Built in After All?Amy Perfors - 2012 - Philosophy Compass 7 (2):127-138.details
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