| 參考文獻: | Austerweil, J. L., Liew, S. X., Conaway, N., & Kurtz, K. J. (2019). Creating Something Different: Similarity, Contrast, and Representativeness in Categorization. (https://doi.org/10.31234/osf.io/zsbqc)
Cohen, A., Nosofsky, R., & Zaki, S. (2001). Category variability, exemplar similarity, and perceptual classification. Memory & Cognition, 29, 1165-1175.
Craig, S., & Lewandowsky, S. (2012). Whichever way you Choose to Categorize, Working Memory Helps you Learn. Quarterly Journal of Experimental Psychology, 65(3), 439–464.
De Schryver, M., Vandist, K., & Rosseel, Y. (2009). How many exemplars are used? Explorations with the Rex Leopold I model. Psychonomic Bulletin & Review, 16(2), 337-343.
Evans, J. S. B. T. (2007). Hypothetical thinking: Dual processes in reasoning and judgement. Psychology Press.
Hayes, B. K., Heit, E. and Rotello, C. M. (2014). Memory, reasoning, and categorization: parallels and common mechanisms, Frontiers in Psychology 5, Article 529 (9 pages).
Hayes B.K., Newell B.R. (2009) Induction with uncertain categories: When do people consider the category alternatives? Memory & Cognition. ,37,730–743.
Hsu, A. S., & Griffiths, T. E. (2010). Effects of generative and discriminative learning on use of category variability. In 32nd annual conference of the cognitive science society.
Japkowicz, N. (2001). Supervised versus unsupervised binary-learning by feedforward neural networks. Machine Learning, 42, 97–122.
Jamieson, R. K., Holmes, S., & Mewhort, D. J. K. (2010). Global similarity predicts dissociation of classification and recognition: Evidence questioning the implicit-explicit learning distinction in amnesia. Journal of Experimental Psychology: Learning, Memory, and Cognition, 36, 1529-1535.
Kass, R. E., & Raftery, A. E. (1995). Bayes factors. Journal of American Statistical Association, 90(430), 773-795.
Knowlton, B., & Squire, L. (1993). The learning of categories: parallel brain systems for item memory and category knowledge. Science, 262, 1747-1749.
Kruschke, J.K. (1992). ALCOVE: an exemplar-based connectionist model of category learning. Psychological review, 99 1, 22-44 .
Malt B.C., Ross B.H., Murphy G.L (1995). Predicting features for members of natural categories when categorization is uncertain. Journal of Experimental Psychology: Learning, Memory, and Cognition,21,646–661.
Murphy G.L., Ross B.H (1994). Predictions from uncertain categorizations. Cognitive Psychology, 27,148–193.
Murphy G.L., Ross B.H. (2005). The two faces of typicality in category-based induction. Cognition,95,175–200.
Nosofsky, R.M. (1992). Attention and learning processes in the identification and categorization of integral stimuli. Journal of experimental psychology. Learning, memory, and cognition, 13 1, 87-108 .
Nosofsky, R. M. (1986). Attention, similarity, and the identification-categorization relationship. Journal of experimental psychology: General, 115, 39-57.
Nosofsky, R. M., Clark, S. E., & Shin, H. J. (1989). Rules and exemplars in categorization, identification, and recognition. Journal of Experimental Psychology: Learning, Memory, and Cognition, 15(2), 282–304.
Nosofsky, R. M., & Johansen, M. K. (2000). Exemplar-based accounts of "multiple-system" phenomena in perceptual categorization. Psychonomic Bulletin & Review, 7 (3), 375-402.
Nosofsky, R. M., Little, D. R., and James, T. W. (2012). Activation in the neural network responsible for categorization and recognition reflects parameter changes. Proc. Natl. Acad. Sci. U.S.A. 109, 333–338.
Nosofsky, R. M., & Palmeri, T. J. (1997). An exemplar-based random walk model of speeded classification. Psychological review, 104, 266.
Nosofsky, R. M., & Zaki, S. R. (1998). Dissociations Between Categorization and Recognition in Amnesic and Normal Individuals: An Exemplar-Based Interpretation. Psychological Science, 9, 247-255.
Oberauer, K., & Lin, H. Y. (2017). An interference model of visual working memory. Psychological review, 124(1), 21-59.
Palmeri, T. J., & Flanery, M. A. (1999). Learning About Categories in the Absence of Training: Profound Amnesia and the Relationship Between Perceptual Categorization and Recognition Memory. Psychological Science, 10(6), 526–530.
Peirce, J. W., Gray, J. R., Simpson, S., MacAskill, M. R., Höchenberger, R., Sogo, H., Kastman, E., Lindeløv, J. (2019). PsychoPy2: experiments in behavior made easy. Behavior Research Methods. 10.3758/s13428-018-01193-y
Plummer, M. (2003), “JAGS: a program for analysis of Bayesian graphical models using Gibbs sampling”, available at : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.13.3406
Rehder, B., and Burnett, R. (2005). Feature inference and the causal structure of categories. Cognitive psychology. 50(3), 264–314.
Rips, L. J. (1989). Similarity, typicality, and categorization. In S. Vosniadou & A. Ortony (Eds.), (pp. 21-59). New York, NY, US: Cambridge University Press.
Ross B.H., Murphy G.L. (1996). Category-based predictions: Influence of uncertainty and feature associations. Journal of Experimental Psychology: Learning, Memory, and Cognition ,22,736–753.
Sakamoto, Y.,Love, B. C.,Jones, M.(2006).Tracking variability in learning: Contrasting statistical and similarity-based accounts.28th Annual Conference of the Cognitive Science Society,Vancouver, Canada.
Santangelo, V. (2015). Forced to remember: When memory is biased by salient information. Behavioural Brain Research, 283, 1–10. https://doi.org/10/f67dgp
Shafir, E., Simonson, I., & Tversky, A. (1997). Reason-based choice. In W. M. Goldstein & R. M. Hogarth (Eds.), Research on judgment and decision making: Currents, connections, and controversies (pp. 69–94). Cambridge University Press. (Reprinted in modified form from Cognition, 49, 1993, pp. 11–36)
Smith, E. E., & Sloman, S. A. (1994). Similarity- versus rule-based categorization. Memory & Cognition, 22 (4), 377-386.
Smith, J. D. (2005). Wanted: A new psychology of exemplars. Canadian Journal of Experimental Psychology/Revue canadienne de psychologie expérimentale, 59(1), 47–53.
Stanovich, K. E. (2009). What intelligence tests miss: The psychology of rational thought. Yale University Press.
Stewart, N., & Brown, G. D. A. (2004). Sequence Effects in the Categorization of Tones Varying in Frequency. Journal of Experimental Psychology: Learning, Memory, and Cognition, 30(2), 416–430.
Stewart, N., & Brown, G. D. A. (2004). Sequence effects in categorizing tones varying in frequency. Journal of Experimental Psychology: Learning Memory and Cognition, 30, 416–430.
Stewart, N., & Brown, G. D. A. (2005). Similarity and dissimilarity as evidence in perceptual categorization. Journal of Mathematical Psychology, 49(5), 403–409.
Stewart, N., Brown, G. D. A., & Chater, N. (2002). Sequence effects in categorization of simple perceptual stimuli. Journal of Experimental Psychology: Learning, Memory, and Cognition, 28, 3–11.
Stewart, N., & Chater, N. (2002). The effect of category variability in perceptual categorization. Journal of Experimental Psychology: Learning, Memory, and Cognition, 28, 893-907.
Verde M.F., Murphy G.L., Ross B.H. (2005). Influence of multiple categories in inductive inference. Memory & Cognition. ,33,479–487.
Yang, L. X., & Wu, Y. H. (2014). Category variability effect in category learning with auditory stimuli. Frontiers in psychology, 5, 1122.
Zaki, S. R., & Nosofsky, R. M. (2001). Exemplar accounts of blending and distinctiveness effects in perceptual old-new recognition. Journal of Experimental Psychology: Learning, Memory,and Cognition, 27 (4), 1022-1041.
Zaki, S. R., Nosofsky, R. M., Jessup, N. M., & Unverzagt, F. W. (2003). Categorization and recognition performance of a memory-impaired group: Evidence for single-system models. Journal of the International Neuropsychological Society, 9, 394-406. |
