The Yamauchi Cognition Lab

Selected Articles

*Jung, W., & Yamauchi. (accepted). Symmetry detection of 3D objects. Journal of Cognitive Science.

*Yu, N. Y., & Yamauchi, T. (in press). Are category labels features or naive assumption? The Proceedings of 33th Annual Meetings of the Cognitive Science Society. Mahwah, NJ: Lawrence Erlbaum.

#Hahn, A., Yamauchi, T., & *Yu, N. Y. (in press). Influence of implicit beliefs and visual working memory on label use. The Proceedings of 33th Annual Meetings of the Cognitive Science Society. Mahwah, NJ: Lawrence Erlbaum.

Yamauchi, T. & Kusumi, T. (2010). Ontology Engineering and Human Concepts. Cognitive Studies. 17 (1), 1-12.

*Yu, N.. Yamauchi, T., *Yang, H, Chen, Y. & Gutierrez-Osuna, R., (2010). Feature selection for inductive generalization.  Cognitive Science, 34, 1574-1593.

Yamauchi, T. (2009). Categorical knowledge and commonsense reasoning. N. Taatgen & H. van Rijin (Eds.), The Proceedings of 31th Annual Meetings of the Cognitive Science Society. Mahwah, NJ: Lawrence Erlbaum. (pp. 124-129)

Yamauchi, T. (2009). Similarity and categorization: The reversed association test. N. Taatgen & H. van Rijin (Eds.), The Proceedings of 31th Annual Meetings of the Cognitive Science Society. Mahwah, NJ: Lawrence Erlbaum.(pp. 1870-1875). (accepted for an oral presentation)

*Yu, N. Y., Yamauchi, T., & Gutierrez-Osuna, R. (2009). Similarity perception of visual objects: A machine-learning approach. . The Proceedings of International Conference on Asia Pacific Psychology (pp.224-226), Seoul, Korea: Korean Psychological Association & Japanese Psychological Association.

Yamauchi, T. (2009). Finding abstract commonalties of category members. Journal of Experimental and Theoretical Artificial Intelligence. 21 (3), 155-180.

*Yu, N. Y., Yamauchi, T., *Yang, H. -F., *Chen, Y. -L., & Gutierrez-Osuna, R. (2008). A computational method to find salient features. The Proceedings of 6th International Conference of Cognitive Science. Seoul, Korea: Cognitive Science Society in the Asian-Pacific Region.  pp. 283-284.

Yamauchi, T. (2008) Linking syntax and inductive reasoning: Categorical labeling and generic noun phrases. Psychologia.51, 1-13

Yamauchi, T. & *Yu, N. (2008). Category labels versus feature labels: Category labels polarize inferential predictions. Memory & Cognition. 36 (3), 544-553

*Yu, N. Y., Yamauchi, T., & Schumacher, J. (2008). Rediscovering symbols: The role of category labels in similarity judgment. Journal of Cognitive Science, 9, 89-100.

*Yu, N. Y., Yamauchi, T., & Schumacher, J. (2008). Category labels in similarity judgment. The Proceedings of 6th Conference of International Cognitive Science Society. Seoul, Korea : Cognitive Science Society in the Asian-Pacific Region. pp. 272-274.

*Jung, W.., Yamauchi, T., & Schumacher, J. (2008). Creating realistic 3D stimuli for behavioral studies. The Proceedings of 6th Conference of International Cognitive Science Society. Seoul, Korea : Cognitive Science Society in the Asian-Pacific Region. pp. 528-529.

Yamauchi, T. (2007). The Semantic Web and human inference: A lesson from cognitive science. K. Aberer et al. (Eds.). Lecture Notes in Computer Science. 4825, pp. 609-622, Berlin: Springer

& This article was selected as a "high-light" at the International Semantic Web Conference 2007.

Yamauchi, T. & *Yu, N. (2007). Finding Semantic Similarity in a Biological Domain: An Insight from a Human-Centered Approach. ISWC'07+ASWC'07 Workshop on Ontology Matching (OM-2007). (pp. 286-290).

*Yu, N. Y., Yamauchi, T., & Schumacher, J. (2008). Category labels highlight feature interrelatedness in similarity judgment. The Proceedings of 30th Annual Meetings of the Cognitive Science Society (pp. 782-787), Mahwah, NJ: Lawrence Erlbaum.

*Chen, H. C., Yamauchi, T., Tamaoka, K., & Vaid, J. (2007). Semantic and phonological priming effects depend on script type: Word recognition in Japanese. Psychonomic Bulletin & Review, 14 (1), 64-69.

Yamauchi, T., *Kohn, N., & *Yu, N. Y. (2007). Tracking mouse movement in feature inference: Category labels are different from feature labels. Memory & Cognition, 35, 852-863.

Yamauchi, T., Cooper, L. A., Hilton, H. J., Szerlip, N. J., Chen, H. C, & Barnhardt, T. M. (2006). Priming for symmetry detection of three-dimensional figures: Central axes can prime symmetry detection separately from local components. Visual Cognition, 13, 363-397.

Yamauchi, T. (2005). Labeling bias and categorical induction: Generative aspects of category information. Journal of Experimental Psychology: Learning, Memory and Cognition, 31, 538-553.

*Kohn, N., & Yamauchi, T. (2005). Feature inference: Tracking mouse movement. In B. G. Bara, L. Barsalou, & M. Bucciarelli (Eds.), the Proceedings of the 27th Annual Meeting of the Cognitive Science Society (pp. 1172-1177), Mahwah, NJ: Lawrence Erlbaum. (accepted for an oral presentation)

Yamauchi, T., & *Yu, N. Y. (2005). Categories and feature inferences: Category membership and a reasoning bias. In B. G. Bara, L. Barsalou, & M. Bucciarelli (Eds.), the Proceedings of the 27th Annual Meeting of the Cognitive Science Society (pp. 2404-2409), Mahwah, NJ: Lawrence Erlbaum. (accepted for an oral presentation)

Matsuka, T., Yamauchi, T., Hanson, C., & Hanson, S. (2005). Representing categorical knowledge: A fMRI study. In B. G. Bara, L. Barsalou, & M. Bucciarelli (Eds.), the Proceedings of the 27th Annual Meeting of the Cognitive Science Society (pp. 1425-1430), Mahwah, NJ: Lawrence Erlbaum.

*Yu, Y., Yamauchi, T., & Choe, Y. (2004). Explaining low-level brightness-contrast illusions using disinhibition. In A. J. Ijspeert, D. Mange, and N. Shojiro (Eds.), Biologically Inspired Approaches to Advanced Information Technology, Lecture Notes in Computer Science, 3141, 166-175, New York: Springer.

Yamauchi, T. (2003). Dual processes in the acquisition of categorical concepts. In R. Altman &  D. Kirsh (Eds.), The Proceedings of the 25th Annual Meeting of the Cognitive Science Society, (pp. 1259-1264). Mahwah, NJ: Lawrence Erlbaum.

VanLehn, K., Siler, S., Murray, C., Yamauchi, T., & Baggett, W. B. (2003). Why do only some events cause learning during human tutoring? Cognition and Instruction, 21 (3), 209-249.

Yamauchi, T., & McGuire, K. (2003).  What does labeling do to stereotyping? Beyond prototypes and cognitive economy.  In F. Salili & R. Hoosain (Eds.), Teaching, Learning and Motivation in a Multicultural Context. Volume 3: Research in Multicultural Education and International perspectives.  (pp. 315-344) Greenwich, CT: Information Age.   

Yamauchi, T., Love, B. C., & Markman, A. B. (2002).  Learning nonlinearly separable categories by inference and classification.  Journal of Experimental Psychology: Learning, Memory & Cognition, 28 (3), 585-593.

Yamauchi, T. (2002). The self-organizing consciousness entails additional intervening subsystems.  Behavioral and Brain Sciences, 25, 360.  (comments)

Chi, M. T., Siler, S., Jeong, H., Yamauchi, T., & Hauseman, R. (2001). Learning from human tutoring, Cognitive Science, 25, 471-533.

Yamauchi, T., & Markman, A. B. (2000). Learning categories composed of varying instances: The effect of classification, inference and structural alignment. Memory & Cognition. 28(1), 64-78.

Yamauchi, T., & Markman, A. B. (2000). Inference using categories. Journal of Experimental Psychology: Learning, Memory and Cognition, 26(3), 776-795.

Yamauchi, T., Markman, A. B. (2000). Making inferences and classifications using categories that are not linearly separable. In J. D. Gleitman & A. K. Joshi (Eds.), The Proceedings of the Twenty-Second Annual Conference of the Cognitive Science Society, (pp.565-570). Mahwah, NJ: Lawrence Erlbaum. (accepted for an oral presentation)

Love, B. C., Markman, A. B., & Yamauchi, T. (2000). Modeling inference and classification learning.  The National Conference on Artificial Intelligence (AAAI-2000), 136-141.

Yamauchi, T. (1999). The Twenty-first Annual Conference of the Cognitive Science Society (1999) Cognitive Studies 6(4), 453-454 (Japanese).

Yamauchi, T., & Markman, A.B. (1998). Category learning by inference and classification. Journal of Memory and Language, 39, 124-148.

Markman, A. B., & Yamauchi, T. (1998). Boundary conditions and the need for multiple forms of representation. Behavioral and Brain Sciences, 21(4), 477-478.

Markman, A. B., Yamauchi, T., & Makin, V. (1997). The creation of new concepts: A multifaceted approach to category learning. In T. B. Ward, S. M. Smith, & J. Vaid. (Eds.), Conceptual structures and processes: Emergence, discovery, and change, (pp.179-208) Washington, DC: American Psychological Association.

Yamauchi, T., & Markman, A. B. (1995). Effects of category learning on categorization — An analysis of inference-based and classification-based learning.  In J. D. Moore & J. F. Lehman (Eds.), The Proceedings of the Seventeenth Annual Meeting of the Cognitive Science Society, (pp.786-790). Mahwah, NJ: Lawrence Erlbaum.

* graduate student, # undergraduate student

Presentations

Yamauchi, T. (1997, January).  Forming categories by classification and inference: Behavioral observations. Invited presentation at The University of Iowa, School of Medicine, Iowa City, Iowa.

Yamauchi, T. (1997, June). Category learning by inference and classification — Impacts of memory and language. Invited presentation at the Max-Planck Institute, Cognitive Neuroscience Unit, Leipzig, Germany.

Yamauchi, T. (1998, May). Learning categorical information by inference and classification.  Invited presentation at the University of Pittsburgh, Learning Research and Development Center.

Yamauchi, T. (1999, July). How do people learn categories composed of multiple instances?  Invited presentation in a symposium at International Conference on Cognitive Science, ICCS'99, Tokyo.

Yamauchi, T. (2000, February). Category formation: the impact of inference and classification.  How do people learn categories composed of multiple instances? Invited presentation at Texas A&M University.

Yamauchi, T. (2001, October) Why does Linda want to be a bank teller 20 years later? Categorical statements and induction. Invited presentation at University Texas, at Austin, Texas.

Yamauchi, T. (2004, April). Inference beyond similarity. Invited presentation at University of Texas, at Austin, Texas.

Yamauchi, T. (2006, December). Computational modeling as an inferential tool. Kyoto University Psychology Lecture Series - The 21st COE (Center of Excellence) Program. Kyoto University, Japan.

Yamauchi, T (2006, December). Concept formation: An overview from cognitive sciences. An invited seminar. Kyoto University Psychology Union, Kyoto University, Japan.

Oral Presentations

Yamauchi, T. (2000, August). Making inferences using non-linearly separable categories.  Paper presented at the Twenty-Second Annual Conference of the Cognitive Science Society, Philadelphia.

Yamauchi, T. (2002, October). What Do People Know About a Category?  Category Label versus Category Features. Invited presentation at Trinity University.  Paper presented at The Southwest Cognition Conference (ARMADILLO XIII).  San Antonio, Texas.

Yamauchi, T. (2003, July). Determinants of category-based induction. Paper presented at the 8th International Cognitive Linguistic Conference (ICLA 2003), Universidad de La Rioja, Logrono, Spain.

Yamauchi, T. (2003, November). Decision strategies underlying classification and feature inference.  Paper presented at the 44th Annual meeting of Psychonomic Society, Vancouver, Canada.

Kohn, N. & Yamauchi, T. (2005, July). Feature inference: Tracking mouse movement. Paper presented at the 17th Annual Conference of the Cognitive Science Soceity, Stresa, Italy.

Yamauchi, T. & Kohn, N. (2005, July).Category membership and a reasoning bias. Paper presented at the 17th Annual Conference of the Cognitive Science Soceity, Stresa, Italy.

Yu, N. Y., & Yamauchi, T. (2005). Re-interpreting categorization-recognition dissociation: How much does computational evidence count?. In the Ninth International Cognitive Linguistics Conference, Seoul, Korea, July 17 to 22.

Yamauchi, T. (2006, November). Decision strategies underlying classification and feature inference.  Paper presented at the 47th Annual meeting of Psychonomic Society, Houston, Texas. November, 19.

Yamauchi, T. (2007, November). Similarity and categorization: Same or different processes? An application of the reversed association test.  Paper presented at the 48th Annual meeting of Psychonomic Society, Long Beach, California. November, 17.

Yamauchi, T. (2007, November). The Semantic Web and human inference: A lesson from Cognitive Science  Paper presented at the 7th Annual meeting of International Semantic Web Conference, Busan, Korea. November, 13.