Publications

Kurtz, K.J., & Silliman, D.C. (2021). Object understanding: Investigating the path from percept to meaning. Acta Psychologica [PDF]


Wetzel, M., & Kurtz, K. J. (2021). On the generalization of alternating category structures. Cognition [PDF]


Snoddy, S., & Kurtz, K.J. (2021). Preventing inert knowledge: Category status promotes spontaneous structure-based retrieval of prior knowledge. Journal of Experimental Psychology: Learning, Memory, and Cognition [PDF]


Honke, G., Kurtz, K.J., & Laszlo, S. (2020) Similarity judgments predict N400 amplitude differences between taxonomic category members and thematic associates. Neuropsychologia [PDF]


Silliman, D. C., Snoddy, S., Wetzel, M., & Kurtz, K. J. (2020). Costly exceptions: Deviant exemplars reduce category compression. Proceedings of the 42nd Annual Meeting of the Cognitive Science Society. [PDF]


Snoddy, S. & Kurtz, K. J. (2020). Analogical transfer and recognition memory in relational classification learning. Proceedings of the 42nd Annual Meeting of the Cognitive Science Society. [PDF]


Kurtz, K. J., & Honke, G. (2020). Sorting out the problem of inert knowledge: Category construction to promote spontaneous transfer. Journal of Experimental Psychology: Learning, Memory, and Cognition [PDF]


Austerweil, J., Liew S.X., Conaway, N., & Kurtz, K.J. (2019). Creating something different: Similarity, contrast, and representativeness in categorization. PsyArXiv [PDF]


Levering, K.R. & Kurtz, K. J. (2019). Concepts: Structure and Acquisition. Psychology of Human Thought • Chapter 4 [PDF]


Levering, K.R., Conaway, N., & Kurtz, K. J. (2019). Revisiting the linear separability constraint: New implications for theories of human category learning. Memory & Cognition [PDF]


Silliman, D. C. & Kurtz, K. J. (2019). Evidence of analogical re-representation from a change detection task. Cognition [PDF]


Patterson, J. D., Snoddy, S, & Kurtz, K. J. (2019). Family Resemblance in Unsupervised Categorization: A Dissociation Between Production and Evaluation. Proceedings of the 41st Annual Meeting of the Cognitive Science Society [PDF]


Kurtz, K.J., & Silliman, D.C. (2019). Warning: The exemplars in your category representation may not be the ones experienced during learning. Proceedings of the 41st Annual Conference of the Cognitive Science Society [PDF]


Honke, G. & Kurtz, K.J. (2019). Similarity is as similarity does? A critical inquiry into the effect of thematic association on similarity. Cognition [PDF]


Premo, J., Cavagnetto, A., Honke, G., & Kurtz, K.J. (2019) Categories in conflict: Combating the application of an intuitive conception of inheritance with category construction. Journal of Research in Science Teaching [PDF]


Patterson, J.D., & Kurtz, K.J. (2018). Semi-supervised learning: A role for similarity in generalization-based learning of relational categories. Proceedings of the 40th Annual Conference of the Cognitive Science Society [PDF]


Snoddy, S., & Kurtz, K. J. (2017). Promoting Spontaneous Analogical Transfer: The Role of Category Status. Proceedings of the 39th Annual Meeting of the Cognitive Science Society [PDF]


Patterson, J. D., Landy, D., & Kurtz, K. J. (2017). Relational concept learning via guided interactive discovery. Proceedings of the 39th Annual Meeting of the Cognitive Science Society [PDF]


Guilfoos, T., Kurtz, K. J. (2017). Evaluating the role of personality trait information in social dilemmas. Journal of Behavioral and Experimental Economics [PDF]


Conaway, N., Kurtz, K. J. (2017). Solving nonlinearly separable classifications in a single-layer neural network. Neural Computation [PDF]


Patterson, J.D., & Kurtz, K.J. (2016). Performance pressure and comparison in relational category learning. Proceedings of the 38th Annual Conference of the Cognitive Science Society [PDF]


Cavagnetto, A. R., Kurtz, K. J., (2016). Promoting students’ attention to argumentative reasoning patterns. Science Education [PDF]


Conaway, N., Kurtz, K. J. (2016). Similar to the category, but not the exemplars: A study of generalization. Psychonomic bulletin & review [PDF]


Armstrong, B. C., Ruiz-Blondet, M., Khalifian, N., Kurtz, K. J., Jin, Z., Laszlo, S. (2015). Brainprint: Assessing the uniqueness, collectability, and permanence of a novel method for ERP biometrics. Neurocomputing [PDF]


Conaway, N., Kurtz, K. J., (2015). Exemplar models can't see the forest for the trees. Proceedings of the 37th Annual Conference of the Cognitive Science Society [PDF]


Kurtz, K. J. (2015). Human category learning: Toward a broader explanatory account. Psychology of Learning and Motivation [PDF]


Conaway, N. B., & Kurtz, K. J. (2015). A dissociation between categorization and similarity to exemplars. Proceedings of the the Thirty-Seventh Annual Conference of the Cognitive Science Society [PDF]


Patterson, J. D., & Kurtz, K. J. (2015). Learning mode and comparison in relational category learning. Proceedings of the the Thirty-Seventh Annual Conference of the Cognitive Science Society [PDF]


Honke, G., Cavagnetto, A. R., Kurtz, K., Patterson, J. D., Conaway, N. B., Tao, Y., & Marr, J. C. (2015). Promoting transfer and mastery of evolution concepts with category construction. Proceedings of the 2015 American Educational Research Association Annual Conference [PDF]


Pape, A.D., Kurtz, K.J., & Sayama, H. (2015). Complexity measures and concept learning. Journal of Mathematical Psychology [PDF]


Levering, K.R., & Kurtz, K.J. (2014). Observation versus classification in supervised category learning. Memory & Cognition [PDF]


Conaway, N. B., & Kurtz, K. J. (2014). Now you know it, now you don't: Asking the right question about category knowledge. Proceedings of the Thirty-Sixth Annual Conference of the Cognitive Science Society [PDF]


Conaway, N. B., & Kurtz, K. J. (2013). Models of human category learning: Do they generalize? Proceedings of the Thirty-Fifth Annual Conference of the Cognitive Science Society [PDF]


Kurtz, K.J., Boukrina, O., & Gentner, D. (2013). Comparison promotes learning and transfer of relational categories. Journal of Experimental Psychology: Learning, Memory, and Cognition [PDF]


Kurtz, K.J. & Gentner, D. (2013). Detecting anomalous features in complex stimuli: The role of structured comparison. Journal of Experimental Psychology: Applied [PDF]


Kurtz, K.J., Levering, K.R., Stanton, R.D., Romero J., Morris, S.N. (2013). Human learning of elemental category structures: Revising the classic result of Shepard, Hovland, and Jenkins (1961). Journal of Experimental Psychology: Learning, Memory, and Cognition [PDF]


Pape, A.D., & Kurtz, K.J. (2012). Evaluating case-based decision theory: Predicting empirical patterns of human classification learning. Games and Economic Behavior [PDF]


Raway, T, Schaffer, D. J., Kurtz, K. J., & Sayama, H. (2012). Evolving data sets to highlight the performance differences between machine learning classifiers. Proceedings of the 14th annual conference companion on genetic and evolutionary computation [PDF]


Andrews, J. K., Livingston, K. R., & Kurtz, K. J. (2011). Category learning in the context of co-presented items. Cognitive Processing [PDF]


Pothos, E., Perlman, A. Bailey, T.M.,Kurtz, K.J., Edwards, D.J., Hines, P.D. (2011). Measuring category intuitiveness in unconstrained categorization tasks. Cognition [PDF]


Levering, K. R., & Kurtz, K. J. (2011). Observational category learning as a path to more robust generative knowledge. Proceedings of the the Thirty-Third Annual Conference of the Cognitive Science Society [PDF]


Levering, K. R., & Kurtz, K. J. (2010). Generalization in higher-order cognition: Categorization and analogy as bridges to stored knowledge. In M. T. Banich & D. Caccamise (Eds.), Generalization of Knowledge: Multidisciplinary Perspectives [PDF]


Kurtz, K.J. (2007). The divergent autoencoder (DIVA) model of category learning. Psychonomic Bulletin & Review [PDF]


Kurtz, K.J., & Loewenstein, J. (2007). Converging on a new role for analogy in problem solving and retrieval: When two problems are better than one. Memory & Cognition [PDF]


Gentner, D., & Kurtz, K.J. (2006). Relations, objects, and the composition of analogies. Cognitive Science [PDF]


Levering K. R., & Kurtz, K. J. (2006). The influence of learning to distinguish categories on graded structure. Proceedings of the Twenty-Eighth Annual Conference of the Cognitive Science Society [PDF]


Gentner, D., & Kurtz, K.J. (2005). Relational categories. In (Eds.) Ahn, W.K., Goldstone, R.L., Love, B.C., Markman, A.B., & Wolff, P.W. Categorization inside and outside the lab. Washington, DC: American Psychological Association [PDF]


Andrews, J. K., Livingston, K. R., & Kurtz, K. J. (2005). Improving Category Learning Through the Use of Context Items: Compare or Contrast? Proceedings of the Twenty-Seventh Annual Conference of the Cognitive Science Society [PDF]


Kurtz, K. J. (2005). Abstraction versus selective attention in classification learning. Proceedings of the Twenty-Seventh Annual Conference of the Cognitive Science Society [PDF]


Kurtz, K. J. (2005). On knowing the category before knowing the features. Proceedings of the Twenty-Seventh Annual Conference of the Cognitive Science Society [PDF]


Kurtz, K.J. (2005). Re-representation in comparison: Building an empirical case. Journal of Experimental & Theoretical Artificial Intelligence [PDF]


Kurtz, K. J. & Boukrina, O. (2004). Learning relational categories by comparison of paired examples. Proceedings of the Twenty-Sixth Annual Conference of the Cognitive Science Society [PDF]