
- Learning of rules that have high-frequency exceptions: New empirical data and a hybrid connectionist model
- Attentional Theory Is a Viable Explanation of the Inverse Base Rate Effect: A Reply to Winman, Wennerholm, and Juslin (2003)
- Single-system models and interference in category learning
- Locally Bayesian Learning With Applications to Retrospective Revaluation and Highlighting
- Journal of Mathematical Psychology 45, 812 863 (2001) Toward a Unified Model of Attention in
- What have we here? a man or a fish? dead or alive? A fish: he smells like a fish; a very
- Bayesian learning theory applied to human cognition
- This Book's Organization Read Me First!
- Harris Z (1951) Structural Linguistics. Chicago, IL: University of Chicago Press.
- 1 Chapter 11 Backward blocking of
- J. K. Kruschke: Active Learning Active Bayesian Associative
- Exemplar Model Account of Inference Learning John K. Kruschke, Mark K. Johansen and Nathaniel J. Blair
- Journal of Mathematical Psychology 54 (2010) 184195 Contents lists available at ScienceDirect
- Version of November 12, 2009. To appear in Models of Categorization, E. M. Pothos and A. Wills (Eds.)
- Evolution of attention in learning JOHN K. KRUSCHKE AND RICHARD A. HULLINGER
- Copyright 2008 Psychonomic Society, Inc. 210 Bayesian formalizations of learning are a revolution-
- Draft typeset February 22, 2011 To appear in Perspectives on Psychological Science.
- Journal of Personality and Social Psychology Integrating Advice and Experience: Learning and
- Learned Attention John K. Kruschke
- Men's Memory for Women's Sexual-interest and Rejection Cues TERESA A. TREAT1*, RICHARD J. VIKEN2
- Journal of Mathematical Psychology 54 (2010) 513 Contents lists available at ScienceDirect
- Attentional Processes in Stereotype Formation: A Common Model for Category Accentuation and Illusory Correlation
- Copyright 2008 Psychonomic Society, Inc. 780 Single-systemmodelsofcategorizationpositasinglerep-
- Locally Bayesian Learning John K. Kruschke (kruschke@indiana.edu)
- The associative learning effect known as blocking oc-curs when a cue that has already been learned to predict an
- Eye Gaze and Individual Differences Consistent With Learned Attention in Associative Blocking and Highlighting
- Copyright 2000 Psychonomic Society, Inc. 636 Psychonomic Bulletin & Review
- Connection Science, Vol. 8, No. 2, 1996, 225 247 Dimensional Relevance Shifts in Category Learning
- Copyright 2002 Psychonomic Society, Inc. 160 Psychonomic Bulletin & Review
- Jonmal ofExperimentalPsychology:General Copyright 1998by theAmerican PsychologicalAssociation, Inc. 1998,Vol. 127,No. 2, 107-140 0096-3445/98/$3.00
- Submitted for publication. Please do not quote.
- Journal of Experimental Psychology: Learning, Memory,and Cognition
- The perception of causality: Feature binding in interacting objects John K. Kruschke and Michael M. Fragassi
- Extensions to the delta rule for associative learning John K. Kruschke and Amy L. Bradley
- CHAPTER 1 This Book's Organization: Read Me First! ............... 1 1.1 Real People Can Read This Book........................... 1
- Assessing Clinically Relevant Perceptual Organization With Multidimensional Scaling Techniques
- ORIGINAL ARTICLE Michael L. Kalish John K. Kruschke
- Population of Linear Experts: Knowledge Partitioning and Function Learning
- Draft of June 25, 2009. Comments welcome. To appear in Computational Models of Classical Conditioning, N. Schmajuk (Ed.), Cambridge University Press
- Journalof Experimental Psychology: Copyright 1996bythe American PsychologicalAssociation, Inc. Learning, Memory,and Cognition I)278-7393/96/$3.00
- Abstract We examined attention shifting in baboons and humans during the learning of visual categories. Within a
- Category Representation for Classification and Feature Inference Mark K. Johansen and John K. Kruschke
- Copyright 2003 American Psychological Society CURRENT DIRECTIONS IN PSYCHOLOGICAL SCIENCE 171
- Bayesian Assessment of Null Values Via Parameter Estimation and Model
- Men's Memory for Women's Sexual-interest and Rejection Cues TERESA A. TREAT1*, RICHARD J. VIKEN2
- A Cue Imputation Bayesian Model of Information Aggregation Jennifer S. Trueblood, George Kachergis, and John K. Kruschke
- Application of Associative Learning Paradigms to Clinically Relevant Individual Differences in Cognitive Processing
- ATTITUDES AND SOCIAL COGNITION Integrating Advice and Experience
- Date: 01/05/12 UPDATED 01/22/2012 Authors: John Kruschke