- Common Mechanisms in Infant and Adult Category Learning
- Beyond common features: The role of roles in determining similarity Matt Jones (mattj@psy.utexas.edu) and Bradley C. Love (love@psy.utexas.edu)
- How Goals Shape Category Acquisition: The Role of Contrasting Categories Tyler Davis (thdavis@mail.utexas.edu)
- You Only Had to Ask Me Once: Long-term Retention Requires Direct Queries During Learning
- Learning and Retention Through Predictive Inference and Classification Yasuaki Sakamoto
- Short-term gains, long-term pains: How cues about state aid learning in dynamic environments
- Regulatory Fit and Systematic Exploration in a Dynamic Decision-Making Environment
- Learning Nonlinearly Separable Categories by Inference and Classification Takashi Yamauchi
- When learning to classify by relations is easier than by features
- Category Learning and Aging 1 Running head: CATEGORY LEARNING AND AGING
- Stimulus Generalization in Category Learning Matt Jones, W. Todd Maddox, and Bradley C. Love
- Brief article Anticipatory emotions in decision tasks: Covert markers
- Copyright 2006 Psychonomic Society, Inc. 474 2006, ?? (?), ???-???
- A Computational Level Theory of Similarity Bradley C. Love
- D.D. Schmorrow et al. (Eds.): Augmented Cognition, HCII 2009, LNAI 5638, pp. 668677, 2009. Springer-Verlag Berlin Heidelberg 2009
- Category Learning, Computational Perspectives Bradley C. Love
- Author's personal copy Brief article
- In many real-world situations, short-term rewards con-flict with long-term benefits. Consider the case of global
- 2009 The Psychonomic Society, Inc. 394 Theories of categorization treat object representations
- Supplementary Material for Learning the Exception to the Rule: Model-Based fMRI Reveals
- Structural Priming as Structure-Mapping: Children Use Analogies From Previous Utterances to Guide
- Model Appendix We present the model used to illustrate our account of idealization. This model is
- Direct Associations or Internal Transformations? Exploring the Mechanisms Underlying Sequential Learning Behavior
- Copyright 2007 Psychonomic Society, Inc. 90 Franzremarkedinhis1912essay"NewPhrenology"
- Environment and Goals Jointly Direct Category Acquisition
- Cognitive Science 27 (2003) 781794 CAB: Connectionist Analogy Builder
- Psychonomic Bulletin & Review 2002, 9 (4), 829-835
- Cognitive Psychology 38, 291316 (1999) Article ID cogp.1998.0697, available online at http://www.idealibrary.com on
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- Selective Attention by Structural Alignment: An Eyetracking Study Aaron B. Hoffman (aaron.hoffman@mail.utexas.edu)
- When Things Get Worse before they Get Better: Regulatory Fit and Average-Reward Learning in a Dynamic Decision-Making Environment
- Behaviorism Reborn? Statistical Learning as Simple Conditioning Todd M. Gureckis (tgurecki@indiana.edu)
- Translating From Perceptual to Cognitive Coding Tyler Davis (thdavis@mail.utexas.edu)
- Relation-Based Categories are Easier to Learn than Feature-Based Categories Marc T. Tomlinson (mtomlinson@love.psy.utexas.edu)
- Sizable Sharks Swim Swiftly: Learning Correlations through Inference in a Classroom Setting
- Tracking Variability in Learning: Contrasting Statistical and Similarity-Based Accounts
- The Role of Similarity in Generalization Matt Jones, W. Todd Maddox, and Bradley C. Love
- Learning Abstract Relations Through Analogy to Concrete Exemplars Marc T. Tomlinson and Bradley C. Love
- A Critical Look at the Mechanisms Underlying Implicit Sequence Todd M. Gureckis (gureckis@psy.utexas.edu)
- The Hippocampus: Where a Cognitive Model meets Cognitive Neuroscience Bradley C. Love (love@psy.utexas.edu) and Todd M. Gureckis (gureckis@love.psy.utexas.edu)
- Category Structure and Recognition Memory Yasuaki Sakamoto (yasu@psy.utexas.edu)
- Learning at Different Levels of Abstraction Bradley C. Love
- Mutability, Conceptual Transformation, and Context Bradley C. Love
- Mutability and the Determinants of Conceptual Transformability Bradley C. Love
- Comp. by: SChandrakala Stage: Proof Chapter No.: 255 Title Name: ESL Page Number: 0 Date:10/3/11 Time:20:54:15
- Mechanistic models of associative and rule-based category learning
- (i.e., number of featural changes) of one set of objects X are mapped onto those of another set Y according to the principles
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- SUSTAIN: A Model of Human Category Learning Bradley C. Love and Douglas L. Medin
- Psychological Science 21(2) 234242
- Modeling Item and Category Learning Bradley C. Love (loveb@nwu.edu)
- Further Reading Faugeras O (1993) Three-Dimensional Computer Vision.
- Dimension-Wide vs. Exemplar-Specific Attention in Category Learning and Recognition
- CURRICULUM VITAE BRADLEY C. LOVE
- A Novel Approach to Understanding Novelty Effects in Memory Yasuaki Sakamoto (yasu@psy.utexas.edu)
- International Journal of Pattern Recognition and Artificial Intelligence
- Copyright 2003 Psychonomic Society, Inc. 790 Memory & Cognition
- Learning to Predict Information Needs: Context-Aware Display as a Cognitive Aid and an Assessment Tool
- Feature Relations and Feature Salience in Natural Categories Jonathan R. Rein (jrein@mail.utexas.edu)
- Who says models can only do what you tell them? Unsupervised category learning data, fits, and predictions
- Cerebral Cortex doi:10.1093/cercor/bhr036
- Type/Token Information in Category Learning and Recognition Yasuaki Sakamoto (yasu@psy.utexas.edu)
- The Emergence of Multiple Learning Systems Bradley C. Love (love@psy.utexas.edu)
- Journal of Mathematical Psychology 53 (2009) 180193 Contents lists available at ScienceDirect
- Bridging Levels: Using a Cognitive Model to Connect Brain and Behavior in Category Learning
- From Pigeons to Humans: Grounding Relational Learning in Concrete Examples Marc T. Tomlinson and Bradley C. Love
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- Judgment and Decision Making, Vol. 5, No. 1, February 2010, pp. 110 You don't want to know what you're missing: When information
- Copyright 2003 Psychonomic Society, Inc. 190 Psychonomic Bulletin & Review
- Modeling Unsupervised Learning with SUSTAIN Todd M. Gureckis and Bradley C. Love
- Categorization Bradley C. Love
- Taking More, Now: The Optimality of Impulsive Choice Hinges on Environment
- Learning and Retention Through Predictive Inference and Classification Yasuaki Sakamoto
- Structural Priming as Structure-Mapping: Children Use Analogies From Previous Utterances to Guide
- ORIGINAL RESEARCH ARTICLE published: 31 January 2012
- Supplementary Material for Learning the Exception to the Rule: Model-Based fMRI Reveals
- Model-based fMRI of Category Learning 1 Running head: Model-based fMRI of Category Learning
- Cerebral Cortex February 2012;22:260--273 doi:10.1093/cercor/bhr036
- Taking More, Now: The Optimality of Impulsive Choice Hinges on Environment
