peer reviewed articles

[ pdf ] Giguère, G. & Love, B.C. (2013). Limits in decision making arise from limits in memory retrieval. Proceedings of the National Academy of Sciences of the United States of America (PNAS), 110 (19), 7613-7618.

[ pdf ] Sanders, M., Davis, T., & Love, B.C. (in press). Are Better Examples Beautiful or Are Beautiful Examples Better? Exploring the Relationship Between Beauty and Category Structure. Psychonomic Bulletin & Review.

[ pdf ] Knox, W.B., Glass, B.D., Love, B.C., Maddox, W.T., & Stone, P. (2012). How humans teach agents International Journal of Social Robotics, 4 (4), 409-421.

[ pdf ] Davis, T., Love, B.C., & Maddox, W.T. (2012). Age-related Declines in the Fidelity of Newly Acquired Category Representations. Learning & Memory, 19, 325-329. (supplement).

[ pdf ] Davis, T., Love, B.C., & Preston, A.R. (2012). Striatal and Hippocampal Entropy and Recognition Signals in Category Learning: Simultaneous Processes Revealed by Model-based fMRI. Journal of Experimental Psychology: Learning, Memory, and Cognition, 38,821-839. (special issue on Theory and data in categorization: Integrating computational, behavioral, and cognitive neuroscience approaches).

[ link to pdf ] Knox, W.B., Otto, A.R., Stone, P., & Love, B.C. (2012). The Nature of Belief-Directed Exploratory Choice in Human Decision-Making. Frontiers in Psychology,2,398. doi: 10.3389/fpsyg.2011.00398

[ pdf ] Otto, A.R., Markman, A.B., & Love, B.C. (2012). Taking More, Now: The Optimality of Impulsive Choice Hinges on Environment Structure. Social Psychological and Personality Science, 3(2), 131-138.

[ pdf ] Davis, T., Love, B.C., & Preston, A.R. (2012).  Learning the Exception to the Rule: Model-Based fMRI Reveals Specialized Representations for Surprising Category Members. Cerebral Cortex, 22, 260-273. (supplement).

[ pdf ] Goldwater, M.B., Tomlinson, M.T., Echols, C.H., & Love, B.C. (2011). Structural Priming as Structure-Mapping: Children Use Analogies from Previous Utterances To Guide Sentence Production. Cognitive Science, 35, 156-170.

[ pdf ] Tomlinson, M.T., & Love, B.C. (2010). When Learning to Classify by Relations Is Easier Than by Features. Thinking & Reasoning,16, 372-401.

[ pdf ] Sakamoto, Y., & Love, B.C. (2010). Learning and Retention through Predictive Inference and Classification. Journal of Experimental Psychology: Applied, 16, 361-377.

[ pdf ] Otto, A.R., Gureckis, T.M., Markman, A.B., & Love, B.C. (2010). Regulatory Fit and Systematic Exploration in a Dynamic Decision-Making Environment. Journal of Experimental Psychology: Learning, Memory, & Cognition,36(3), 797-804.

[ pdf ] Otto, A.R., & Love, B.C. (2010). You Don't Want To Know What You're Missing: When Information about Forgone Rewards Impedes Dynamic Decision Making. Judgment and Decision Making, 5, 1-10.

[ pdf ] Davis, T., & Love, B.C. (2010). Memory for Category Information is Idealized through Contrast with Competing Options. Psychological Science, 21, 234-242. (supplemental)

[ pdf ] Gureckis, T. M., & Love, B. C. (2010). Direct Associations or Internal Transformations? Exploring the Mechanisms Underlying Sequential Learning Behavior. Cognitive Science, 34, 10-50.

[ pdf ] Otto, A.R., Gureckis, T.M., Markman, A.B., & Love, B.C. (2009). Navigating through Abstract Decision Spaces: Evaluating the Role of State Generalization in a Dynamic Decision-Making Task. Psychonomic Bulletin & Review, 16, 957-963.

[ pdf] Davis, T., Love, B.C., Maddox, T.M. (2009). Anticipatory Emotions in Decision Tasks: Covert Markers of Value or Attentional Processes? Cognition, 112, 195-200.

[ pdf ] Davis, T., Love, B.C., & Maddox, W.T. (2009). Two Pathways to Stimulus Encoding in Category Learning? Memory & Cognition, 37, 394-413.

[ pdf ] Gureckis, T. M., & Love, B. C. (2009). Short Term Gains, Long Term Pains: Reinforcement Learning in Dynamic Environments. Cognition, 113, 293-313.

[ pdf ] Gureckis, T. M., & Love, B. C. (2009). Learning in Noise: Dynamic Decision-Making in a Variable Environment. Journal of Mathematical Psychology, 150, 180-193.

[ pdf ] Maddox, W. T., Love, B. C., Glass, B. D., & Filoteo, J. V. (2008). When More is Less: Feedback Effects in Perceptual Category Learning. Cognition, 108, 578-589.

[ pdf ] Sakamoto, Y., Jones, M., & Love, B. C. (2008). Putting the Psychology Back into Psychological Models: Mechanistic vs. Rational Approaches. Memory & Cognition, 36, 1057-1065.
NOTE: Click here for data from Experiment 2.

[ pdf ] Love, B. C., & Gureckis, T. M. (2007). Models in search of a brain. Cognitive, Affective, & Behavioral Neuroscience.,7, 90-108.

[ pdf ] Jones, M., & Love, B. C. (2007). Beyond common features: The role of roles in determining similarity. Cognitive Psychology, 55, 196-231.

[ pdf ] Sakamoto, Y., & Love, B. C. (2006). Vancouver, Toronto, Montreal, Austin: Enhanced oddball memory through differentiation, not isolation. Psychonomic Bulletin & Review, 13, 474-479.

[ pdf ] Jones, M., Love, B. C., & Maddox, W. T. (2006). Recency as a window to generalization: Separating decisional and perceptual sequential effects in category learning. Journal of Experimental Psychology: Learning, Memory, and Cognition, 32, 316-332.

[ pdf ] Love, B. C. (2005). Environment and goals jointly direct category acquisition. Current Directions in Psychological Science, 14, 195-199.

[ pdf] Sakamoto, Y., & Love, B. C. (2004). Schematic influences on category learning and recognition memory. Journal of Experimental Psychology: General, 133, 534-553.

[ pdf ] Love, B. C., Medin, D. L., & Gureckis, T. M. (2004). SUSTAIN: A network model of category learning. Psychological Review, 111, 309-332.

[ pdf ] Gureckis, T. M., & Love, B. C. (2004). Common mechanisms in infant and adult category learning. Infancy, 5, 173-198.

[ pdf ] Larkey, L. B., & Love, B. C. (2003). CAB: Connectionist analogy builder. Cognitive Science, 27, 781-794.

[ pdf ] Gureckis, T. M., & Love, B. C. (2003). Human unsupervised and supervised learning as a quantitative distinction. International Journal of Pattern Recognition and Artificial Intelligence, 17, 885-901.

[ pdf ] Love, B. C., & Markman, A. B. (2003). The nonindependence of stimulus properties in human category learning. Memory & Cognition, 31, 790-799.
NOTE: Learning criterion was 10 trials correct in a row. In Table 2, the column heading to the left of "Type IV" should read "Shape Relevant"

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

[ pdf ] Gureckis, T. M., & Love, B. C. (2003). Towards a unified account of supervised and unsupervised learning. Journal of Experimental and Theoretical Artifical Intelligence, 15, 1-24.

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

[ pdf ] 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.

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

[ pdf ] Sloman, S. A., Love, B. C., & Ahn, W. K. (1998). Feature centrality and conceptual coherence. Cognitive Science, 22, 189-228.

[ pdf ] Wisniewski, E. J., & Love, B. C. (1998). Relations versus properties in conceptual combination. Journal of Memory and Language, 38, 177-202.


peer reviewed proceedings-published

[ pdf ] Hoffman, A.B., Love, B.C., & Markman, A.B. (2010). Selective Attention by Structural Alignment: An Eyetracking Study. Proceedings of the Annual Meeting of Cognitive Science Society. Mahwah, NJ: Lawrence Erlbaum Associates.

[ pdf ] Tomlinson, M.T., Howe, M., Love, B.C. (2009). Seeing the World Through an Expert's Eyes: Context-Aware Display as a Training Companion. Proceedings of HCI International, LNAI 5638, 668-677.

[ pdf ] Love, B. C., Jones, M., Tomlinson, M.T., & Howe, M. (2009). Learning to Predict Information Needs: Context-Aware Display as a Cognitive Aid and an Assessment Tool. Proceedings of The ACM SIGCHI Conf. on Human Factors in Computing Systems (CHI 2009), 1351-1360.

[ pdf ] Sakamoto, Y,. & Love, B.C. (2009). You Only Had to Ask Me Once:Long-term Retention Requires Direct Queries During Learning. Proceedings of the Annual Meeting of Cognitive Science Society. Mahwah, NJ: Lawrence Erlbaum Associates.

[ pdf ] Otto, A.R., Gureckis, T.M., Markman, A.B., & Love, B.C. (2009). When Things Get Worse before they Get Better: Regulatory Fit and Average-Reward Learning in a Dynamic Decision-Making Environment. Proceedings of the Annual Meeting of Cognitive Science Society. Mahwah, NJ: Lawrence Erlbaum Associates.

[ pdf ] Love, B. C., Jones, M., Tomlinson, M.T., & Howe, M. (2008). Predicting Information Needs: Adaptive Display in Dynamic Environments . Proceedings of the Cognitive Science Society. Mahwah, NJ: Lawrence Erlbaum Associates.

[ pdf ] Davis, T., & Love, B. C. (2008). How Goals Shape Category Acquisition: The Role of Contrasting Categories . Proceedings of the Cognitive Science Society. Mahwah, NJ: Lawrence Erlbaum Associates.

[ pdf ] Gureckis, T. M., & Love, B. C. (2007). Behaviorism Reborn? Statistical Learning as Simple Conditioning . Proceedings of the Cognitive Science Society. Mahwah, NJ: Lawrence Erlbaum Associates.

[ pdf ] Davis, T., Love, B. C., & Maddox, W.T. (2007). Translating From Perceptual to Cognitive Coding. Proceedings of the Cognitive Science Society. Mahwah, NJ: Lawrence Erlbaum Associates.

[ pdf ] Tomlinson, M., & Love, B. C. (2007). Relation-Based Categories are Easier to Learn than Feature-Based Categories. Proceedings of the Cognitive Science Society. Mahwah, NJ: Lawrence Erlbaum Associates.

[ pdf ] Rein, J. R., Love, B. C., & Markman, A. B. (2007). Feature Relations and Feature Salience in Natural Categories. Proceedings of the Cognitive Science Society. Mahwah, NJ: Lawrence Erlbaum Associates.

[ pdf ] Gureckis, T. M., & Love, B. C. (2006). Bridging levels: Using a cognitive model to connect brain and behavior in category learning. Proceedings of the Cognitive Science Society. Mahwah, NJ: Lawrence Erlbaum Associates.

[ pdf ] Love, B. C., & Jones, M. (2006). The emergence of multiple learning systems. Proceedings of the Cognitive Science Society. Mahwah, NJ: Lawrence Erlbaum Associates.

[ pdf ] Sakamoto, Y., & Love, B. C. (2006). Sizable sharks swim swiftly: Learning correlations through inference in a classroom setting. Proceedings of the Cognitive Science Society. Mahwah, NJ: Lawrence Erlbaum Associates.

[ pdf ] Sakamoto, Y., Love, B. C., & Jones, M. (2006). Tracking variability in learning: Contrasting statistical and similarity-based accounts. Proceedings of the Cognitive Science Society. Mahwah, NJ: Lawrence Erlbaum Associates.

[ pdf ] Jones, M., Maddox, W. T., & Love, B. C. (2006). The role of similarity in generalization. Proceedings of the Cognitive Science Society. Mahwah, NJ: Lawrence Erlbaum Associates.

[ pdf ] Tomlinson, M., & Love, B. C. (2006). Learning abstract relations through analogy to concrete exemplars. Proceedings of the Cognitive Science Society. Mahwah, NJ: Lawrence Erlbaum Associates.

[ pdf ] Tomlinson, M. T., & Love, B. C. (2006). From pigeons to humans: Grounding relational learning in concrete examples. Twenty-First National Conference on Artificial Intelligence (AAAI-2006), USA, 17, 136-141.

[ pdf ] Gureckis, T. M., & Love, B. C. (2005). A critical look at the mechanisms underlying implicit sequence learning. Proceedings of the Cognitive Science Society. Mahwah, NJ: Lawrence Erlbaum Associates.

[ pdf ] Jones, M., Maddox, W. T., & Love, B. C. (2005). Stimulus generalization in category learning. Proceedings of the Cognitive Science Society. Mahwah, NJ: Lawrence Erlbaum Associates.

[ pdf ] Sakamoto, Y., & Love, B. C. (2005). A novel approach to understanding novelty effects in memory. Proceedings of the Cognitive Science Society. Mahwah, NJ: Lawrence Erlbaum Associates.

[ pdf ] Jones, M. & Love, B. C. (2004). Beyond common features: The role of roles in determining similarity. Proceedings of the Cognitive Science Society. Mahwah, NJ: Lawrence Erlbaum Associates.

[ pdf ] Sakamoto, Y., & Love, B. C. (2004). Type/token information in category learning and recognition. Proceedings of the Cognitive Science Society. Mahwah, NJ: Lawrence Erlbaum Associates.

[ pdf ] Love, B. C., & Gureckis, T. M. (2004). The hippocampus: Where a cognitive model meets cognitive neuroscience. Proceedings of the Cognitive Science Society. Mahwah, NJ: Lawrence Erlbaum Associates.

[ pdf] Sakamoto, Y., Matuska, T., & Love, B. C. (2004). Dimension-wide vs. exemplar-specific attention in category learning and recognition. In M. Lovett, C. Schunn, C. Lebiere, and P. Munro (Eds.), Proceedings of the International Conference of Cognitive Modeling (pp. 261-266). Mahwah, New Jersey: Lawrence Erlbaum.

[ pdf ] Sakamoto, Y., & Love, B. C. (2003). Category structure and recognition memory. Proceedings of the Cognitive Science Society. Mahwah, NJ: Lawrence Erlbaum Associates.

[ pdf ]Gureckis, T. M., & Love, B. C. (2002). Modeling unsupervised learning with SUSTAIN. In S. Haller & G. Simmons (Eds.), Proceedings of the 15th international Florida artificial intelligence research society conference (p. 163-167). Menlo Park, California: AAAI Press.

[ pdf ] 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. Proceedings of the Cognitive Science Society, USA, 24, 399-404.

[ pdf ] Love, B. C., & Markman, A. B., & Yamauchi, T. (2000). Modeling classification and inference learning. Seventeenth National Conference on Artificial Intelligence (AAAI-2000), USA, 17, 136-141.

[ pdf ] Love, B. C. (2000). A computational level theory of similarity. Proceedings of the Cognitive Science Society, USA, 22, 316-321.

[ pdf ] Love, B. C. (2000). Learning at different levels of abstraction. Proceedings of the Cognitive Science Society, USA, 22, 800-805.

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

[ pdf ] 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), USA, 15, 671-676.

[ pdf ] Love, B. C., & Medin, D. L. (1998). Modeling item and category learning. Proceedings of the Twentieth Annual Conference of the Cognitive Science Society, USA, 20, 639-644.

[ pdf ] Love, B. C. (1996). Mutability, conceptual transformation, and context. Proceedings of the Eighteenth Annual Conference of the Cognitive Science Society, USA, 18, 459-463.

[ pdf ] Love, B. C., & Sloman, S. A. (1995). Mutability and the determinants of conceptual transformability. Proceedings of the Seventeenth Annual Conference of the Cognitive Science Society, USA, 17, 654-659.

publications-other

[ pdf ] Love, B. C. (2013). Grounding quantum probability in psychological mechanism. Behavioral and Brain Sciences, 36, 296.

[ pdf ] Love, B.C. (in press). Categorization. Oxford Handbook of Cognitive Neuroscience. Oxford Press.

[ pdf ] Love, B.C., & Jones, M. (in press). Bayesian Learning. In B, Seel (Ed.), Encyclopedia of the Sciences of Learning. Springer.

[ pdf ] Love, B.C. (2011). Category Learning, Computational Perspectives. In Hal Pashler (Ed.), Encyclopedia of the Mind, Sage.

[ pdf ] Love, B.C. (2008). Prediction Markets are only Human: Subadditivity in Probability Judgments

[ pdf ] Love, B.C., Gureckis, T.M., & Worchel, J. (2004). Aging and Category Learning: No Exception is the Rule.
NOTE: Data are published and modeled here.

[ pdf ] Love, B. C., & Tomlinson, M. (in press). Mechanistic Models of Associative and Rule-based Category Learning. In Denis Mareschal, Paul Quinn, Stephen Lea (Eds.), The Making of Human Concepts. Oxford, UK: Oxford University Press.

[ pdf ] Tomlinson, M.T., & Love, B. C. (2002). Monkey see, monkey do: Learning relations through concrete examples. Behavioral and Brain Sciences, 31, 150-151.

[ pdf ] Love, B.C., Tomlinson, M., & Gureckis, T.M. (2008). The concrete substrates of abstract rule use. In B.H. Ross, The Psychology of Learning and Motivation, 49, 167-207.

[ pdf ] Love, B. C. (2005). In vivo or in vitro: Cognitive architectures and task-specific models. In R. W. Pew and K. A. Gluck, Modeling Human Behavior with Integrated Cognitive Architectures: Comparison, Evaluation, and Validation. 351-364. Mahwah, NJ: Lawrence Erlbaum.

[ pdf ] Love, B. C., & Gureckis, T. M. (2005). Modeling learning under the influence of culture. In W. Ahn, R. L., Goldstone, B. C., Love, A. B., Markman, & P. Wolff (Eds.), Categorization inside and outside of the lab: Festschrift in Honor of Douglas L. Medin. 229-248. Washington, DC: American Psychological Association.

[ pdf ]Ahn, W., Goldstone, R. L., Love, B. C., Markman, A. B., & Wolff, P. (Eds.). (2005). Categorization inside and outside of the lab: Festschrift in Honor of Douglas L. Medin. Washington, DC: American Psychological Association.

[ pdf ] Love, B. C. (2003). Concept learning. In L. Nadel (Ed.), The Encyclopedia of Cognitive Science (Vol. 1, p. 646-652), London: Nature Publishing Group.

[ pdf ] Love, B. C. (2002). Similarity and Categorization: A review [Review of the book Similarity and Cognition] AI Magazine, 23, 103-105.

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

[ pdf ] Love, B. C. (2001). Uncovering analogy [Review of the book The Analogical Mind]. Trends in Cognitive Sciences, 5, 454-455.

[ uspto ] Love, B. C. (2005). Love, B. C. (2005). Method and apparatus for incorporating decision making into classifiers. US Patent #6,920,439.