- Attentional Bias in Human Category Learning: The Case of Deep Learning.Catherine Hanson, Leyla Roskan Caglar & Stephen José Hanson - 2018 - Frontiers in Psychology 9.details
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Short-term gains, long-term pains: How cues about state aid learning in dynamic environments.Todd M. Gureckis & Bradley C. Love - 2009 - Cognition 113 (3):293-313.details
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Direct Associations or Internal Transformations? Exploring the Mechanisms Underlying Sequential Learning Behavior.Todd M. Gureckis & Bradley C. Love - 2010 - Cognitive Science 34 (1):10-50.details
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Predicting human cooperation in the Prisoner’s Dilemma using case-based decision theory.Todd Guilfoos & Andreas Duus Pape - 2016 - Theory and Decision 80 (1):1-32.details
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A Multiple Definitions Model of Classification Into Fuzzy Categories.Thomas M. Gruenenfelder - 2019 - Frontiers in Psychology 10.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 acquisition of Boolean concepts.Geoffrey P. Goodwin & Philip N. Johnson-Laird - 2013 - Trends in Cognitive Sciences 17 (3):128-133.details
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Conceptual illusions.Geoffrey P. Goodwin & P. N. Johnson-Laird - 2010 - Cognition 114 (2):253-265.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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The empirical case for role-governed categories.Micah B. Goldwater, Arthur B. Markman & C. Hunt Stilwell - 2011 - Cognition 118 (3):359-376.details
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Grammatical Constructions as Relational Categories.Micah B. Goldwater - 2017 - Topics in Cognitive Science 9 (3):776-799.details
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Domain-Creating Constraints.Robert L. Goldstone & David Landy - 2010 - Cognitive Science 34 (7):1357-1377.details
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Human Semi-Supervised Learning.Bryan R. Gibson, Timothy T. Rogers & Xiaojin Zhu - 2013 - Topics in Cognitive Science 5 (1):132-172.details
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Novelty and Inductive Generalization in Human Reinforcement Learning.Samuel J. Gershman & Yael Niv - 2015 - Topics in Cognitive Science 7 (3):391-415.details
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Learning the Structure of Social Influence.Samuel J. Gershman, Hillard Thomas Pouncy & Hyowon Gweon - 2017 - Cognitive Science 41 (S3):545-575.details
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The labelled container: Conceptual development of social group representations.Rebekah A. Gelpi, Suraiya Allidina, Daniel Hoyer & William A. Cunningham - 2022 - Behavioral and Brain Sciences 45.details
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The Cognitive Neuroscience of Stable and Flexible Semantic Typicality.Jonathan R. Folstein & Michael A. Dieciuc - 2019 - Frontiers in Psychology 10.details
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Perceptual advantage for category-relevant perceptual dimensions: the case of shape and motion.Jonathan R. Folstein, Thomas J. Palmeri & Isabel Gauthier - 2014 - Frontiers in Psychology 5.details
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Feature Biases in Early Word Learning: Network Distinctiveness Predicts Age of Acquisition.Tomas Engelthaler & Thomas T. Hills - 2016 - Cognitive Science 40 (6):n/a-n/a.details
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Feature Biases in Early Word Learning: Network Distinctiveness Predicts Age of Acquisition.Tomas Engelthaler & Thomas T. Hills - 2017 - Cognitive Science 41 (S1):120-140.details
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Extracting prototypes from exemplars What can corpus data tell us about concept representation?Dagmar Divjak & Antti Arppe - 2013 - Cognitive Linguistics 24 (2).details
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A Model‐Based Approach to the Wisdom of the Crowd in Category Learning.Irina Danileiko & Michael D. Lee - 2018 - Cognitive Science 42 (S3):861-883.details
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Alignability-based free categorization.John P. Clapper - 2017 - Cognition 162:87-102.details
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Numerical Proportion Representation: A Neurocomputational Account.Qi Chen & Tom Verguts - 2017 - Frontiers in Human Neuroscience 11.details
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Toward a dual-learning systems model of speech category learning.Bharath Chandrasekaran, Seth R. Koslov & W. T. Maddox - 2014 - Frontiers in Psychology 5:88645.details
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Selective and distributed attention in human and pigeon category learning.Leyre Castro, Olivera Savic, Victor Navarro, Vladimir M. Sloutsky & Edward A. Wasserman - 2020 - Cognition 204 (C):104350.details
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What you learn is more than what you see: what can sequencing effects tell us about inductive category learning?Paulo F. Carvalho & Robert L. Goldstone - 2015 - Frontiers in Psychology 6.details
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A Computational Model of Context‐Dependent Encodings During Category Learning.Paulo F. Carvalho & Robert L. Goldstone - 2022 - Cognitive Science 46 (4).details
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Functional kinds: a skeptical look.Cameron Buckner - 2015 - Synthese 192 (12):3915-3942.details
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Conceptual complexity and the bias/variance tradeoff.Erica Briscoe & Jacob Feldman - 2011 - Cognition 118 (1):2-16.details
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Active inductive inference in children and adults: A constructivist perspective.Neil R. Bramley & Fei Xu - 2023 - Cognition 238 (C):105471.details
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Map-Like Representations of an Abstract Conceptual Space in the Human Brain.Levan Bokeria, Richard N. Henson & Robert M. Mok - 2021 - Frontiers in Human Neuroscience 15:620056.details
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Errors, efficiency, and the interplay between attention and category learning.Mark R. Blair, Marcus R. Watson & Kimberly M. Meier - 2009 - Cognition 112 (2):330-336.details
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Attention to distinguishing features in object recognition: An interactive-iterative framework.Orit Baruch, Ruth Kimchi & Morris Goldsmith - 2018 - Cognition 170 (C):228-244.details
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The Discriminative Lexicon: A Unified Computational Model for the Lexicon and Lexical Processing in Comprehension and Production Grounded Not in Composition but in Linear Discriminative Learning.R. Harald Baayen, Yu-Ying Chuang, Elnaz Shafaei-Bajestan & James P. Blevins - 2019 - Complexity 2019:1-39.details
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The Effect of Feedback on Attention Allocation in Category Learning: An Eye Tracking Study.Yael Arbel, Emily Feeley & Xinyi He - 2020 - Frontiers in Psychology 11.details
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Critical features for face recognition.Naphtali Abudarham, Lior Shkiller & Galit Yovel - 2019 - Cognition 182 (C):73-83.details
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Representation in Cognitive Science.Nicholas Shea - 2018 - Oxford University Press.details
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The Oxford Handbook of Causal Reasoning.Michael Waldmann (ed.) - 2017 - Oxford, England: Oxford University Press.details
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You only had to ask me once: Long-term retention requires direct queries during learning.Yasuaki Sakamoto & Bradley C. Love - 2009 - In N. A. Taatgen & H. van Rijn (eds.), Proceedings of the 31st Annual Conference of the Cognitive Science Society.details
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Is categorical perception really verbally mediated perception?Andrew T. Hendrickson, George Kachergis, Todd M. Gureckis & Robert L. Goldstone - 2010 - In S. Ohlsson & R. Catrambone (eds.), Proceedings of the 32nd Annual Conference of the Cognitive Science Society. Cognitive Science Society.details
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Attention and reinforcement learning: Constructing representations from indirect feedback.Fabián Canas & Matt Jones - 2010 - In S. Ohlsson & R. Catrambone (eds.), Proceedings of the 32nd Annual Conference of the Cognitive Science Society. Cognitive Science Society.details
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Integrating reinforcement learning with models of representation learning.Matt Jones & Fabián Canas - 2010 - In S. Ohlsson & R. Catrambone (eds.), Proceedings of the 32nd Annual Conference of the Cognitive Science Society. Cognitive Science Society. pp. 1258--1263.details
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Semi-supervised learning is observed in a speeded but not an unspeeded 2D categorization task.Timothy T. Rogers, Charles Kalish, Bryan R. Gibson, Joseph Harrison & Xiaojin Zhu - 2010 - In S. Ohlsson & R. Catrambone (eds.), Proceedings of the 32nd Annual Conference of the Cognitive Science Society. Cognitive Science Society.details
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Finding feature representations of stimuli: Combining feature generation and similarity judgment tasks.Matthew D. Zeigenfuse & Michael D. Lee - 2008 - In B. C. Love, K. McRae & V. M. Sloutsky (eds.), Proceedings of the 30th Annual Conference of the Cognitive Science Society. Cognitive Science Society. pp. 1825--1830.details
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