- An Evolutionary Analysis of Learned Attention.Richard A. Hullinger, John K. Kruschke & Peter M. Todd - 2015 - Cognitive Science 39 (6):1172-1215.details
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Integrating Philosophy of Understanding with the Cognitive Sciences.Kareem Khalifa, Farhan Islam, J. P. Gamboa, Daniel Wilkenfeld & Daniel Kostić - 2022 - Frontiers in Systems Neuroscience 16.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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Finding categories through words: More nameable features improve category learning.Martin Zettersten & Gary Lupyan - 2020 - Cognition 196 (C):104135.details
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When more is less: Feedback effects in perceptual category learning.J. Vincent Filoteo W. Todd Maddox, Bradley C. Love, Brian D. Glass - 2008 - Cognition 108 (2):578.details
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Models and mechanisms in psychological explanation.Daniel A. Weiskopf - 2011 - Synthese 183 (3):313-338.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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The GIST of concepts.Ronaldo Vigo - 2013 - Cognition 129 (1):138-162.details
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Similarity and Rules United: Similarity‐ and Rule‐Based Processing in a Single Neural Network.Tom Verguts & Wim Fias - 2009 - Cognitive Science 33 (2):243-259.details
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A Neurocomputational Approach to Trained and Transitive Relations in Equivalence Classes.Ángel E. Tovar & Gert Westermann - 2017 - Frontiers in Psychology 8.details
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Cue integration with categories: Weighting acoustic cues in speech using unsupervised learning and distributional statistics.Joseph C. Toscano & Bob McMurray - 2010 - Cognitive Science 34 (3):434.details
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Short Term Gains, Long Term Pains: How Cues About State Aid Learning in Dynamic Environments.Bradley C. Love Todd M. Gureckis - 2009 - Cognition 113 (3):293.details
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A probabilistic model of cross-categorization.Patrick Shafto, Charles Kemp, Vikash Mansinghka & Joshua B. Tenenbaum - 2011 - Cognition 120 (1):1-25.details
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Play to Win: Action Video Game Experience and Attention Driven Perceptual Exploration in Categorization Learning.Sabrina Schenk, Christian Bellebaum, Robert K. Lech, Rebekka Heinen & Boris Suchan - 2020 - Frontiers in Psychology 11.details
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Précis of semantic cognition: A parallel distributed processing approach.Timothy T. Rogers & James L. McClelland - 2008 - Behavioral and Brain Sciences 31 (6):689-714.details
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What is automatized during perceptual categorization?Jessica L. Roeder & F. Gregory Ashby - 2016 - Cognition 154 (C):22-33.details
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Improving Human‐Machine Cooperative Classification Via Cognitive Theories of Similarity.Brett D. Roads & Michael C. Mozer - 2017 - Cognitive Science 41 (5):1394-1411.details
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A neural network model of the effect of prior experience with regularities on subsequent category learning.Casey L. Roark, David C. Plaut & Lori L. Holt - 2022 - Cognition 222 (C):104997.details
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Incremental implicit learning of bundles of statistical patterns.Ting Qian, T. Florian Jaeger & Richard N. Aslin - 2016 - Cognition 157 (C):156-173.details
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A Cognitive Modeling Approach to Strategy Formation in Dynamic Decision Making.Prezenski Sabine, Brechmann André, Wolff Susann & Russwinkel Nele - 2017 - Frontiers in Psychology 8.details
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Mechanisms and Model-Based Functional Magnetic Resonance Imaging.Mark Povich - 2015 - Philosophy of Science 82 (5):1035-1046.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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Measuring category intuitiveness in unconstrained categorization tasks.Emmanuel M. Pothos, Amotz Perlman, Todd M. Bailey, Ken Kurtz, Darren J. Edwards, Peter Hines & John V. McDonnell - 2011 - Cognition 121 (1):83-100.details
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Relation-Based Categorization and Category Learning as a Result From Structural Alignment. The RoleMap Model.Georgi Petkov & Yolina Petrova - 2019 - Frontiers in Psychology 10.details
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Sampling Assumptions in Inductive Generalization.Daniel J. Navarro, Matthew J. Dry & Michael D. Lee - 2012 - Cognitive Science 36 (2):187-223.details
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On Fodor's First Law of the Nonexistence of Cognitive Science.Gregory L. Murphy - 2019 - Cognitive Science 43 (5):e12735.details
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Phonological Concept Learning.Elliott Moreton, Joe Pater & Katya Pertsova - 2017 - Cognitive Science 41 (1):4-69.details
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The Effects of Feature-Label-Order and Their Implications for Symbolic Learning.Michael Ramscar, Daniel Yarlett, Melody Dye, Katie Denny & Kirsten Thorpe - 2010 - Cognitive Science 34 (6):909-957.details
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Same items, different order: Effects of temporal variability on infant categorization.Emily Mather & Kim Plunkett - 2011 - Cognition 119 (3):438-447.details
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Concepts, correlations, and some challenges for connectionist cognition.Gary F. Marcus & Frank C. Keil - 2008 - Behavioral and Brain Sciences 31 (6):722-723.details
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When more is less: Feedback effects in perceptual category learning.W. Todd Maddox, Bradley C. Love, Brian D. Glass & J. Vincent Filoteo - 2008 - Cognition 108 (2):578-589.details
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When learning to classify by relations is easier than by features.Bradley C. Love & Marc T. Tomlinson - 2010 - Thinking and Reasoning 16 (4):372-401.details
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The Algorithmic Level Is the Bridge Between Computation and Brain.Bradley C. Love - 2015 - Topics in Cognitive Science 7 (2):230-242.details
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Model comparison, not model falsification.Bradley C. Love - 2018 - Behavioral and Brain Sciences 41.details
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The Campaign for Concepts.Tania Lombrozo - 2011 - Dialogue 50 (1):165-177.details
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Why Higher Working Memory Capacity May Help You Learn: Sampling, Search, and Degrees of Approximation.Kevin Lloyd, Adam Sanborn, David Leslie & Stephan Lewandowsky - 2019 - Cognitive Science 43 (12):e12805.details
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Hierarchical clustering optimizes the tradeoff between compositionality and expressivity of task structures for flexible reinforcement learning.Rex G. Liu & Michael J. Frank - 2022 - Artificial Intelligence 312 (C):103770.details
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Exemplars, Prototypes, Similarities, and Rules in Category Representation: An Example of Hierarchical Bayesian Analysis.Michael D. Lee & Wolf Vanpaemel - 2008 - Cognitive Science 32 (8):1403-1424.details
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On the Generalization of Simple Alternating Category Structures.Kenneth J. Kurtz & Matthew T. Wetzel - 2021 - Cognitive Science 45 (4):e12972.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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Exploring the conceptual universe.Charles Kemp - 2012 - Psychological Review 119 (4):685-722.details
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Can semi-supervised learning explain incorrect beliefs about categories?Charles W. Kalish, Timothy T. Rogers, Jonathan Lang & Xiaojin Zhu - 2011 - Cognition 120 (1):106-118.details
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The Role of Explanation in Discovery and Generalization: Evidence From Category Learning.Joseph J. Williams & Tania Lombrozo - 2010 - Cognitive Science 34 (5):776-806.details
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Episodic traces and statistical regularities: Paired associate learning in typical and dyslexic readers.Manon Wyn Jones, Jan-Rouke Kuipers, Sinead Nugent, Angelina Miley & Gary Oppenheim - 2018 - Cognition 177 (C):214-225.details
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Naïve and Robust: Class‐Conditional Independence in Human Classification Learning.Jana B. Jarecki, Björn Meder & Jonathan D. Nelson - 2018 - Cognitive Science 42 (1):4-42.details
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Context Matters: Recovering Human Semantic Structure from Machine Learning Analysis of Large‐Scale Text Corpora.Marius Cătălin Iordan, Tyler Giallanza, Cameron T. Ellis, Nicole M. Beckage & Jonathan D. Cohen - 2022 - Cognitive Science 46 (2):e13085.details
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Context Matters: Recovering Human Semantic Structure from Machine Learning Analysis of Large‐Scale Text Corpora.Marius Cătălin Iordan, Tyler Giallanza, Cameron T. Ellis, Nicole M. Beckage & Jonathan D. Cohen - 2022 - Cognitive Science 46 (2):e13085.details
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How decisions and the desire for coherency shape subjective preferences over time.Adam N. Hornsby & Bradley C. Love - 2020 - Cognition 200 (C):104244.details
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Defending the concept of “concepts”.Brett K. Hayes & Lauren Kearney - 2010 - Behavioral and Brain Sciences 33 (2-3):214 - 214.details
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