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Brad Love, Ph.D.
Associate Professor

Email: love@psy.utexas.edu Phone : 232-5732 Lab: 471-4253 Office: SEA 5.202 Lab: SEA 5.108 See also Cognition & Perception Brad Love's Home Page and Lab

DESCRIPTION OF RESEARCH

Categorization, Human and Machine Learning, and Similarity

I have a number of interests in the general area of cognition. I am particularly interested in developing process models of human learning that address the full range of our abilities. Human learners often engage in complex decision making, utilize prior knowledge in clever ways, and uncover non-obvious similarities. One goal of my research isto develop computational models of these processes. Such models, along with findings from cognitive psychology, cognitive neuroscience, and computer science, may provide insight into the nature of the information processing algorithms our brains use during learning and categorization.

Education

Ph.D.,1999,Psychology, Northwestern University.
B.S., 1995, Cognitive and Linguistic Sciences, Brown University.

Recent Publications

Jones, M. & Love, B. C., (2004). Beyond common features: The role of roles in determining similarity. Proceedings of the Cognitive Science Society.

Sakamoto, Y., & Love, B. C., (2004). Type/Token Information in Category Learning and Recognition. Proceedings of the Cognitive Science Society.

Love, B. C., & Gureckis, T. M. (2004). The Hippocampus: Where a Cognitive Model meets Cognitive Neuroscience. Proceedings of the Cognitive Science Society.

Sakamoto, Y., Matuska, T., & Love, B. C. (2004) Dimension-Wide vs. Exemplar-Specific Attention in Category Learning and Recognition. International Conference of Cognitive Modeling (ICCM).

Sakamoto, Y., & Love, B. C. (2004) Schematic Influences on Category Learning and Recognition Memory. Journal of Experimental Psychology: General, 133, 534-553.

Love, B.C., Medin, D.L, & Gureckis, T.M (2004). SUSTAIN: A Network Model of Category Learning. Psychological Review, 111, 309-332.

Love, B. C., & Gureckis, T. M. (2005). Modeling Learning Under the Influence of Culture. Book Chapter.

Gureckis, T.M., & Love, B.C. (2004). Common Mechanisms in Infant and Adult Category Learning. Infancy, 5, 173-198.

Love, B. C., (in press). In vivo or in vitro: Cognitive architectures and task-specific models. Book Chapter.

Larkey, L. B., & Love, B. C. (2003). CAB: Connectionist Analogy Builder. Cognitive Science, 27, 781-794.

Love, B. C. Incorporating Decision Making into Classifiers. USPTO.

Love, B. C., & Markman, A. B. (2003). The nonindependence of stimulus properties in human category learning. Memory & Cognition, 31, 790-799.

Love, B. C. (2003). The multifaceted nature of unsupervised category learning. Psychonomic Bulletin & Review, 10, 190-197.

Gureckis, T.M and Love, B.C. (2003). Human Unsupervised and Supervised Learning as a Quantitative Distinction. International Journal of Pattern Recognition and Artificial Intelligence, vol. 17, no. 5, 885-901.

Gureckis, T. M. and Love, B. C. (2003). Towards a Unified Account of Supervised and Unsupervised Learning. Journal of Experimental and Theoretical Artifical Intelligence, 15, 1-24.

Sakamoto, Y., & Love, B. C., (2003). Category structure and recognition memory. Proceedings of the Cognitive Science Society.

Love, B. C. (2002). Comparing supervised and unsupervised category learning. Psychonomic Bulletin & Review, 9, 829-835.

Gureckis, T.M and Love, B.C. (2002). Who says models can only do what you tell them? Unsupervised category learning data, fits, and predictions. In Proceedings of the 24th Annual Conference of the Cognitive Science Society. pgs. 399-404. Hillsdale, NJ: Lawrence Erlbaum.

Love, B. C., (2002). Similarity and Categorization: A Review. AI Magazine, 23, 103-105.

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

Gureckis, T.M and Love, B.C. (2002). Modeling Unsupervised Learning with SUSTAIN. In Proceedings of the 15th Annual Florida Artificial Intelligence Research Society (FLAIRS) Conference: Special Track: Categorization and Concept Representation: Models and Implications.

Love, B. C., (2002). Concept learning. The Encyclopedia of Cognitive Science, Nature Publishing Group.

Love, B. C., (2001). The analogical mind. Trends in Cognitive Sciences, 5, 454-455.

Love, B. C., (2002). Three deadly sins of category learning modelers. Behavioral and Brain Sciences, 24, 687-688.

Love, B. C., (2000). A computational level theory of similarity. Proceedings of the Cognitive Science Society, 316-321.

Love, B. C., (2000). Learning at different levels of abstraction. Proceedings of the Cognitive Science Society, 800-805.

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

Love, B. C., (1999). Utilizing time: Asynchronous Binding. Advances in Neural Information Processing Systems, 11, 38-44.

Love, B. C., Rouder, J. N., & Wisniewski, E. J. (1999). A structural account of global and local processing. Cognitive Psychology, 38, 291-316.

Love, B. C., & Medin, D. L. (1998). Modeling item and category learning. Proceedings of the Cognitive Science Society, 639-644.

Love, B. C., & Medin, D. L. (1998). SUSTAIN: A Model of Human Category Learning. Proceedings of the Fifteenth National Conference on Artificial Intelligence (AAAI-98), 639-644.

Sloman, S. A., Love, B. C., & Ahn, W. K. (1998). Feature Centrality and Conceptual Coherence. Cognitive Science, 22, 189-228.

Wisniewski, E. J., & Love, B. C. (1998). Relations versus properties in concpetual combination. Journal of Memory and Language, 38, 117-202.

Love, B. C., (1996). Mutability, conceptual transformation, and context. Proceedings of the Cognitive Science Society, 459-463.

Love, B. C., Sloman, S. A. (1995). Mutability and the Determinants of Conceptual Transformability. Proceedings of the Cognitive Science Society, 654-659.