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Publications by year

(see below for listing of publications by topic)

 

2017

Bennett, S.T., Benjamin, A.S., & Steyvers, M. (in press). A Bayesian model of knowledge and metacognitive control: Applications to opt-in tasks. Proceedings of the Cognitive Science Society.

Miller, B. & Steyvers, M. (in press). Leveraging Response Consistency within Individuals to Improve Group Accuracy for Rank-Ordering Problems. Proceedings of the Cognitive Science Society.

Merkle, E.C., Steyvers, M., Mellers, B., & Tetlock, P.E. (in press). A neglected dimension of good forecasting judgment: The questions  we choose also matter. International Journal of Forecasting.

Tauber, S., Navarro, D.J., Perfors, A., & Steyvers, M. (2017). Bayesian models of cognition revisited: Setting optimality aside and letting data drive psychological theory. Psychological Review.

Gaut, G., Steyvers, M., Imel, Z., Atkins, D.C., & Smyth, P. (2017). Content Coding of Psychotherapy Transcripts Using Labeled Topic Models. IEEE Journal of Biomedical and Health Informatics, 21(2), 476-487

Weusthoff, S., Gaut, G., Steyvers, M., Atkins, D.C., Hahlweg, K., Hogand, J., Zimmermanne, T., Fischer, M.S., Baucom, D.H., Georgiou, P., Narayanan, S.,& Baucom, B.R. (in press). The Language of Interpersonal Interaction: An Interdisciplinary Approach to Assessing and Processing Vocal and Speech Data. European Journal of Counselling Psychology

 

2016

Cassey, P., Gaut. G., Steyvers, M., Brown, S.D. (2016). A generative joint model for spike trains and saccades during perceptual decision making. Psychonomic Bulletin and Review, 23, 1757-1778.

Turner, B.M., Rodriguez, C.A., Norcia, T.M., McClure, S.M., & Steyvers, M. (2016). Why More Is Better: Simultaneous Modeling of EEG, fMRI, and Behavioral Data. NeuroImage, 128, 96-115.

Merkle, E.C., Steyvers, M., Mellers, B., and Tetlock, P.E. (2016). Item Response Models of Probability Judgments: Application to a Geopolitical Forecasting Tournament. Decision, 3(1), 1-19.

Pace, B.T., Tanana, M., Xiao, B., Dembe, A., Soma, C.S., Steyvers, M., Narayanan, S., Atkins, D.C., Imel, Z.E. (2016).What about the words? Natural language processing in psychotherapy. Psychotherapy Bulletin, 50(1), 14-18

 

2015

Steyvers, M., Miller, B. (2015). Cognition and Collective Intelligence. In T.W. Malone and M.S. Bernstein  (Eds.) Handbook of Collective Intelligence. MIT Press, pp. 119-138.

Imel, Z. E., Steyvers, M., & Atkins, D. C. (2015). Computational Psychotherapy Research: Scaling up the Evaluation of Patient Provider Interactions. Psychotherapy, 52(1), 19-30.

Lord, S. P, Can, D., Yi, M., Marín, R. A., Dunn, C. W., Imel, Z. E., Georgiou, P. G., Narayanan, S. S., Steyvers, M., & Atkins, D. C. (2015). Advancing methods for reliably assessing motivational interviewing fidelity using the Motivational Interviewing Skills Code. Journal of Substance Abuse Treatment, 49, 50-57.

Hemmer, P., Tauber, S., and Steyvers, M. (2015). Moving beyond qualitative evaluations of Bayesian models of cognition. Psychonomic Bulletin and Review, 22(3), 614-628.

Holsclaw, T., Hallgren, K. A., Steyvers, M., Smyth, P., & Atkins, D. C. (2015). Measurement error and outcome distributions: Methodological issues in regression analysis of behavioral coding data. Psychology of Addictive Behaviors, 29(4), 1031-1040.

Lee, M.D., Liu, E.C., & Steyvers, M. (2015). The roles of knowledge and memory in generating top-10 lists. In D.C. Noelle & R. Dale (Eds.), Proceedings of the 37th Annual Conference of the Cognitive Science Society, pp. 1267-1272. Austin, TX: Cognitive Science Society.

 

2014

Kim, W., Pitt, M.A., Lu, Z.L., Steyvers, M., and Myung, J.I. (2014). A Hierarchical Adaptive Approach to Optimal Experimental Design. Neural Computation, 26(11), 2465-2492.
Steyvers, M. (2014). The Collective Memory Performance in a Recognition Memory Task. In Raaijmakers, Criss, Goldstone, Nosofsky, and Steyvers (Eds.) Cognitive Modeling in Perception and Memory. Routledge / Taylor & Francis
Kim, W., Pitt, M., Lu, Z.L., Steyvers, M., Gu, H., Myung, J.I. (2014). A Hierarchical Adaptive Approach to the Optimal Design of Experiments.  Proceedings of the 36th Annual Conference of the Cognitive Science Society.
Atkins, D.C., Steyvers, M., Imel, Z.E., and Smyth, P. (2014). Scaling up the evaluation of psychotherapy: Evaluating motivational interviewing fidelity via statistical text classification. Implementation Science, 9(49), 1-11.
Lee, M.D., Steyvers, M., and Miller, B.J. (2014). A cognitive model for aggregating people's rankings. PLoS ONE, 9(5).
Steyvers, M., Wallsten, T.S., Merkle, E.C., and Turner, B.M. (2014). Evaluating Probabilistic Forecasts with Bayesian Signal Detection Models. Risk Analysis, 34(3), 2014
Turner, B.M., Steyvers, M., Merkle, E.C., Budescu, D.V., Wallsten, T.S. (2014). Forecast Aggregation via Recalibration. Machine Learning, 95(3), 261-289.

 

2013

Qiang, L., Steyvers, M., & Ihler, A. (2013). Scoring Workers in Crowdsourcing: How Many Control Questions are Enough?  Advances in Neural Information Processing Systems, 26.
Merkle, E.C., and Steyvers, M. (2013). Choosing a strictly proper scoring rule. Decision Analysis, 10(4), 292-304
Pearl, L., & Steyvers, M. (2013). “C’mon – You Should Read This”: Automatic Identification of Tone from Language Text. International Journal of Computational Linguistics (IJCL), 4(1), 1-30.
Tauber, S. , Steyvers, M. (2013). Inference of Subjective Prior Knowledge: An Integrative Bayesian Approach. In M. Knauff, M. Pauen, Sebanz, N., and Wachsmuth (Eds.), Proceedings of the 35th Annual Conference of the Cognitive Science Society. Cognitive Science Society. (pp. 3510-3515).
Turner, B.M., Sederberg, P.B., Brown, S.D., and Steyvers, M. (2013). A Method for Efficiently Sampling from Distributions with Correlated Dimensions. Psychological Methods, 18(3), 368-384
Ditta, A.S., & Steyvers, M. (2013). Collaborative Memory in a Serial Combination Procedure. Memory, 21(6), 668-674.
Turner, B.M., Forstmann, B.U., Wagenmakers, E.J., Brown, S.D., Sederberg, P.B., and Steyvers, M. (2013). A Bayesian framework for simultaneously modeling neural and behavioral data. NeuroImage, 72, 193-206.

 

2012

Atkins, D. C., Rubin, T. N., Steyvers, M., Doeden, M. A., Baucom, B. R., & Christensen, A. (2012). Topic Models: A Novel Method for Modeling Couple and Family Text Data. Journal of Family Psychology, 6, 816-827.
Warnaar, D. B., Merkle, E. C., Steyvers, M., Wallsten, T. S., Stone, E. R., Budescu, D. V., Yates, J. F., Sieck, W. R., Arkes, H. R., Argenta, C. F., Shin, Y., & Carter, J. N. (2012).  The aggregative contingent estimation system: Selecting, rewarding, and training experts in a wisdom of crowds approach to forecasting.  Proceedings of the 2012 Association for the Advancement of Artificial Intelligence Spring Symposium Series.
Pearl, L., & Steyvers, M. (2012). Detecting Authorship Deception: A Supervised Machine Learning Approach Using Author Writeprints. Literary and Linguistic Computing, 27(2), 183-196.
Hawkins, G., Brown, S.D., Steyvers, M., & Wagenmakers, E.J. (2012). An optimal adjustment procedure to minimize experiment time in decisions with multiple alternatives. Psychonomic Bulletin and Review, 19(2), 339-348.
Shankle, W.R.,  Pooley, J.P. Steyvers, M., Hara, J. Mangrola, T., Reisberg, B., Lee, M.D. (in press). Relating Memory To Functional Performance In Normal Aging to Dementia Using Hierarchical Bayesian Cognitive Processing Models. Alzheimer Disease & Associated Disorders.  
Hawkins, G., Brown, S.D., Steyvers, M., & Wagenmakers, E.J. (2012). Decision speed induces context effects in choice. Experimental Psychology, 59(4), 206-215
Rubin, T., Chambers, A., Smyth, P., & Steyvers, M. (2012). Statistical Topic Models for Multi-Label Document Classification. Journal of Machine Learning, 88(1), 157-208.
Lee, M.D., Steyvers, M., de Young, M., & Miller. B.J. (2012). Inferring expertise in knowledge and prediction ranking tasks. Topics in Cognitive Science, 4, 151-163.
Steyvers, M. & Hemmer, P. (2012). Reconstruction from Memory in Naturalistic Environments. In Brian H. Ross (Ed.) The Psychology of Learning and Motivation, Vol 56. Elsevier Publishing, pp. 126-144.
Yi, S.K.M., Steyvers, M., & Lee, M.D. (2012). The Wisdom of Crowds in Combinatorial Problems. Cognitive Science, 36(3), 452-470.
Hawkins, G., Brown, S.D., Steyvers, M., & Wagenmakers, E.J. (2012). Context effects in multi-alternative decision making: empirical data and a Bayesian model. Cognitive Science, 36(3), 498-516.


20
11

Turner, B., & Steyvers, M. (2011). A Wisdom of the Crowd Approach to Forecasting. 2nd NIPS workshop on Computational Social Science and the Wisdom of Crowds.
Pearl, L., Goldwater, S., & Steyvers, M. (2011). Online Learning Mechanisms for Bayesian Models of Word Segmentation. Research on Language and Computation, 8, 107-132.
Rubin, T.N., Zeigenfuse, M.D., & Steyvers, M. (2011). A model of concept generalization and feature representation in hierarchies. In L. Carlson, C. Hölscher, & T.F. Shipley (Eds.), Proceedings of the 33rd Annual Conference of the Cognitive Science Society. Austin, TX: Cognitive Science Society .
Tauber, S., & Steyvers, M. (2011). Using inverse planning and theory of mind for social goal inference. In L. Carlson, C. Hölscher, & T.F. Shipley (Eds.), Proceedings of the 33rd Annual Conference of the Cognitive Science Society. Austin, TX: Cognitive Science Society. Appendix
Miller, B., & Steyvers, M. (2011). The Wisdom of Crowds with Communication. In L. Carlson, C. Hölscher, & T.F. Shipley (Eds.), Proceedings of the 33rd Annual Conference of the Cognitive Science Society. Austin, TX: Cognitive Science Society .
Lee, M.D., Steyvers, M., de Young, M., & Miller, B.J. (2011). A model-based approach to measuring expertise in ranking tasks.. In L. Carlson, C. Hölscher, & T.F. Shipley (Eds.), Proceedings of the 33rd Annual Conference of the Cognitive Science Society. Austin, TX: Cognitive Science Society.
Lee, M.D., Zhang, S., Munro, M., & Steyvers, M. (2011). Psychological models of human and optimal performance in bandit problems. Cognitive Systems Research 12, 164-174.
Merkle, E.C., & Steyvers, M. (2011). A Psychological Model for Aggregating Judgments of Magnitude. Conference on Social Computing, Behavioral Modeling, and Prediction, 11.

 

2010

Holloway, A., Smyth, P, & Steyvers, M. (2010). Learning concept graphs from text with stick-breaking priors. Advances in Neural Information Processing Systems, 23.
Yi, S.K.M., Steyvers, M., Lee, M.D., & Dry, M. (2010). Wisdom of Crowds in Minimum Spanning Tree Problems. Proceedings of the 32nd Annual Conference of the Cognitive Science Society. Mahwah, NJ: Lawrence Erlbaum..
Hemmer, P. & Steyvers, M., & Miller, B. (2010). The Wisdom of Crowds with Informative Priors. Proceedings of the 32nd Annual Conference of the Cognitive Science Society.
Pearl, L., & Steyvers, M. (2010) Identifying Emotions, Intentions, and Attitudes in Text Using a Game with a Purpose. NAACL-HLT 2010 Workshop on Computational Approaches to Analysis and Generation of Emotion in Text. Los Angeles, CA.
Pearl, L., Goldwater, S., & Steyvers, M. (2010) How Ideal Are We? Incorporating Human Limitations into Bayesian Models of Word Segmentation, BUCLD 34: Proceedings of the 34th annual Boston University Conference on Child Language Development, Somerville, MA: Cascadilla Press.
Steyvers, M. (2010). Combining feature norms and text data with topic models. Acta Psychologica, 133(3), 234-342.
Steyvers, M., Chemudugunta, C., & Smyth, P. (2010). Combining Background Knowledge and Learned Topics. Topics in Cognitive Science, 3, 18-47.
Rosen-Zvi, M., Chemudugunta, C., Griffiths, T., Smyth, P., & Steyvers, M. (2010). Learning Author-Topic Models from Text Corpora. ACM Transactions on Information Systems, 28(1), 1-38.
 

2009

Steyvers, M., Lee, M.D., Miller, B., & Hemmer, P. (2009). The Wisdom of Crowds in the Recollection of Order Information. In Y. Bengio and D. Schuurmans and J. Lafferty and C. K. I. Williams and A. Culotta (Eds.) Advances in Neural Information Processing Systems, 22, pp. 1785-1793. MIT Press. 
Brown, S.D., Steyvers, M., & Wagenmakers, E.J. (2009). Observing Evidence Accumulation During Multi-Alternative Decisions. Journal of Mathematical Psychology, 53(6), 453-462.
Yi, S.K.M., Steyvers, M., & Lee, M.D. (2009). Modeling Human Performance on Restless Bandit Problems using Particle Filters. Journal of Problem Solving, 2(2), 33-53.
Hemmer, P. & Steyvers, M. (2009). Integrating Episodic and Semantic Information in Memory for Natural Scenes. In N. Taatgen, H. van Rijn, L. Schomaker and J.Nerbonne (Eds.) Proceedings of the 31th Annual Conference of the Cognitive Science Society. Mahwah, NJ: Lawrence Erlbaum.
Lee, M.D., Zhang, S., Munro, M., & Steyvers, M. (2009). Using Heuristic Models to Understand Human and Optimal Decision-Making on Bandit Problems. In: Proceedings of the Ninth International Conference on Cognitive Modeling. Manchester, UK.
Lee, M.D., Grothe, E., & Steyvers, M. (2009). Conjunction and Disjunction Fallacies in Prediction Markets. In N. Taatgen, H. van Rijn, L. Schomaker and J.Nerbonne (Eds.) Proceedings of the 31th Annual Conference of the Cognitive Science Society. Mahwah, NJ: Lawrence Erlbaum.
Miller, B., Hemmer, P. Steyvers, M. & Lee, M.D. (2009). The Wisdom of Crowds in Ordering Problems. In: Proceedings of the Ninth International Conference on Cognitive Modeling. Manchester, UK.
Rubin, T., & Steyvers, M. (2009). A Topic Model For Movie Choices and Ratings. In: Proceedings of the Ninth International Conference on Cognitive Modeling. Manchester, UK.
Hemmer, P. & Steyvers, M. (2009). A Bayesian Account of Reconstructive Memory. Topics in Cognitive Science, 1, 189-202.
Steyvers, M., Lee, M.D., & Wagenmakers, E.J. (2009). A Bayesian analysis of human decision-making on bandit problems. Journal of Mathematical Psychology, 53, 168-179.
Brown, S.D., & Steyvers, M. (2009). Detecting and Predicting Changes. Cognitive Psychology, 58, 49-67.
Hemmer, P., Steyvers, M. (2009). Integrating Episodic Memories and Prior Knowledge at Multiple Levels of Abstraction. Psychonomic Bulletin & Review, 16(1), 80-87.

2008

Chemudugunta, Smyth, P., & Steyvers, M. (2008). Combining Concept Hierarchies and Statistical Topic Models. In: ACM 17th Conference on Information and Knowledge Management.
Chemudugunta, C., Smyth, P., & Steyvers, M. (2008). Text Modeling using Unsupervised Topic Models and Concept Hierarchies. Technical Report
Chemudugunta, C., Holloway, A., Smyth, P., & Steyvers, M. (2008). Modeling Documents by Combining Semantic Concepts with Unsupervised Statistical Learning. In: 7th International Semantic Web Conference.
Hemmer, P. & Steyvers, M. (2008). A Bayesian Account of Reconstructive Memory. In V. Sloutsky, B. Love, and K. McRae (Eds.) Proceedings of the 30th Annual Conference of the Cognitive Science Society. Mahwah, NJ: Lawrence Erlbaum
Steyvers, M. & Griffiths, T.L. (2008). Rational Analysis as a Link between Human Memory and Information Retrieval. In N. Chater and M Oaksford (Eds.) The Probabilistic Mind: Prospects from Rational Models of Cognition. Oxford University Press, pp. 327-347.

2007

Griffiths, T.L., Steyvers, M., & Firl, A. (2007). Google and the mind: Predicting fluency with PageRank. Psychological Science, 18(12), pp. 1069-1076.
Chemudugunta, C., Smyth, P., & Steyvers, M. (2007). Modeling General and Specific Aspects of Documents with a Probabilistic Topic Model. In: Advances in Neural Information Processing Systems, 19.
Griffiths, T.L., Steyvers, M., & Tenenbaum, J.B.T. (2007). Topics in Semantic Representation. Psychological Review, 114(2), 211-244.
Brown, S.D., Steyvers, M., & Hemmer, P. (2007). Modeling Experimentally Induced Strategy Shifts. Psychological Science, 18, 40-45.

2006

  Newman, D., Smyth, P., & Steyvers, M. (2006). Scalable Parallel Topic Models. Journal of Intelligence Community Research and Development.
Newman, D., Chemudugunta, C., Smyth, P., & Steyvers, M. (2006). Statistical entity-topic models. The Twelfth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. Philadelphia
Steyvers, M., Griffiths, T.L., & Dennis, S. (2006). Probabilistic inference in human semantic memory. Trends in Cognitive Sciences, 10(7), 327-334.
Newman, D., Chemudugunta, C., Smyth, P., & Steyvers, M. (2006). Analyzing entities and topics in news articles using statistical topic models. In: Springer Lecture Notes in Computer Science (LNCS) series -- IEEE International Conference on Intelligence and Security Informatics.
Wagenmakers, E.J., Grunwald, P., & Steyvers, M. (2006). Accumulative prediction error and the selection of time series models. Journal of Mathematical Psychology, 50, 149-166.
Navarro, D.J., Griffiths, T.L., Steyvers, S., & Lee, M.D. (2006). Modeling individual differences using Dirichlet processes. Journal of Mathematical Psychology, 50, 101-122.

Steyvers, M., & Brown, S. (2006). Prediction and Change Detection. In Y. Weiss, B. Scholkopf, and J. Platt (eds), Advances in Neural Information Processing Systems, 18, pp. 1281-1288. MIT Press.

Steyvers, M. & Griffiths, T. (2006). Probabilistic topic models. In T. Landauer, D McNamara, S. Dennis, and W. Kintsch (eds), Latent Semantic Analysis: A Road to Meaning. Laurence Erlbaum

2005

Brown, S.D., & Steyvers, M. (2005). The Dynamics of Experimentally Induced Criterion Shifts. Journal of Experimental Psychology: Learning, Memory & Cognition, 31(4), 587-599.

Steyvers, M., & Tenenbaum, J. (2005). The Large Scale Structure of Semantic Networks: Statistical Analyses and a Model of Semantic Growth.  Cognitive Science, 29(1), 41-78.

Navarro, D. J., Griffiths, T. L., Steyvers, M. & Lee, M. D. (2005). Modeling individual differences with Dirichlet processes. In B. G. Bara, L. W. Barsalou & M. Bucciarelli (Eds.) Proceedings of the 27th Annual Conference of the Cognitive Science Society (pp. 1594-1599). Mahwah, NJ: Lawrence Erlbaum

2004

Griffiths, T., & Steyvers, M. (2004). Finding Scientific Topics. Proceedings of the National Academy of Sciences, 101 (suppl. 1), 5228-5235. 

Griffiths, T.L., & Steyvers, M., Blei, D.M., & Tenenbaum, J.B. (2005). Integrating Topics and Syntax. In: Advances in Neural Information Processing Systems, 17 (Saul, L.K et al., eds), 537-544. MIT Press. 

Rosen-Zvi, M., Griffiths T., Steyvers, M., & Smyth, P. (2004). The Author-Topic Model for Authors and Documents. In 20th Conference on Uncertainty in Artificial Intelligence. Banff, Canada

Steyvers, M., Shiffrin, R.M., & Nelson, D.L. (2004). Word Association Spaces for Predicting Semantic Similarity Effects in Episodic Memory. In A. Healy (Ed.), Experimental Cognitive Psychology and its Applications. 

Wagenmakers, E-J., Zeelenberg, R., Steyvers, M., Shiffrin, R. M., & Raaijmakers, J. G. W. (2004). Nonword repetition in lexical decision: Evidence for two opposing processes. The Quarterly Journal of Experimental Psychology A, 57(7), 1191-1210.

Steyvers, M., Smyth, P., Rosen-Zvi, M., & Griffiths, T. (2004). Probabilistic Author-Topic Models for Information Discovery. The Tenth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. Seattle, Washington.  

Wagenmakers, E.J.M., Steyvers, M., Raaijmakers, J.G.W., Shiffrin, R.M., van Rijn, H., & Zeelenberg, R. (2004). A Model for Evidence Accumulation in the Lexical Decision Task. Cognitive Psychology, 48, 332-367. 

2003

Goldstone, R., Steyvers, M., & Rogosky, B.J. (2003). Conceptual Interrelatedness and Caricatures. Memory and Cognition, 31(2), 169-180. 

Steyvers, M., & Malmberg, K. (2003). The effect of normative context variability on recognition memory. Journal of Experimental Psychology: Learning, Memory, & Cognition, 29(5), 760-766.  Excel file with word and sample frequency counts for 26414 selected words from TASA corpus

Steyvers, M., Tenenbaum, J., Wagenmakers, E.J., Blum, B. (2003). Inferring Causal Networks from Observations and Interventions. Cognitive Science, 27, 453-489

2002

Griffiths, T.L., & Steyvers, M. (2002). A probabilistic approach to semantic representation. In: Proceedings of the Twenty-Fourth Annual Conference of Cognitive Science Society. George Mason University, Fairfax, VA.

Griffiths, T.L., & Steyvers, M. (2002). Prediction and semantic association. In: Advances in Neural Information Processing Systems 15, pp. 11-18. MIT Press.

Malmberg, K. J., Steyvers, M., Stephens, J. D., & Shiffrin, R.M. (2002).  Feature-frequency effects in recognition memory.  Memory & Cognition, 30(4), 607-613. 

Steyvers, M. (2002). Multidimensional Scaling. In: Encyclopedia of Cognitive Science. Nature Publishing Group, London, UK.

2001

Goldstone, R.L., & Steyvers, M. (2001). The sensitization and differentiation of dimensions during category learning. Journal of Experimental Psychology, General, 130. 116-139. (1) (for software to create images as in Figure 1, download this example software in C) (2) All BMP images of the 4 x 4 grid in Figure 1 (3) A zipped package of all original BMP files with line files, including C program to create 10 x 10 grid of Figure 1. Also includes all the resulting BMP files of the 10 x 10 grid. See the README file for instructions.

Steyvers, M., Wagenmakers, E.J.M., Shiffrin, R.M., Zeelenberg, R., & Raaijmakers, J.G.W. (2001). A Bayesian model for the time-course of lexical processing. In: Proceedings of the Fourth International Conference on Cognitive Modeling. George Mason University, Fairfax, VA. 

2000

Goldstone, R., Steyvers, M., Kersten, A., & Spencer-Smith, J. (2000). Interactions between perceptual and conceptual learning. In Dietrich, E., & A. Markman (eds.), Cognitive Dynamics: conceptual and representational change in humans and machines. Cambridge, MA: MIT Press.

Steyvers, M. (2000). Modeling semantic and orthographic similarity effects on memory for individual words. Dissertation, Psychology Department, Indiana University. Formatted for 55 pages 

Steyvers, M., & Busey, T. (2000). Predicting Similarity Ratings to Faces using Physical Descriptions. In M. Wenger, & J. Townsend (Eds.), Computational, geometric, and process perspectives on facial cognition: Contexts and challenges. Lawrence Erlbaum Associates. (1) Set of all 60 faces (BMP format) plus geometric distances.  (2) Matrix of dissimilarity ratings to all 60 faces. Higher numbers --> more dissimilar. All ratings were z-transformed for each individual subject before averaging.

1995-1999

Goldstone, R.L., Steyvers, M. & Larimer, K. (1996). Categorical Perception of Novel Dimensions. In Proceedings of the Eighteenth Annual Conference of the Cognitive Science Society (pp. 243-248). La Jolla, CA. Lawrence Erlbaum Associates. 

Shiffrin, R.M. & Steyvers, M. (1997). A model for recognition memory: REM: Retrieving Effectively from Memory. Psychonomic Bulletin & Review, 4 (2), 145-166.

Shiffrin, R. M., & Steyvers, M. (1998). The effectiveness of retrieval from memory. In M. Oaksford & N. Chater (Eds.). Rational models of cognition. (pp. 73-95), Oxford, England: Oxford University Press. 

Steyvers, M. (1999). Morphing techniques for generating and manipulating face images. Behavior Research Methods, Instruments, & Computers, 31, 359-369.

Steyvers, M. & Grunwald, P. (1996). A recurrent network that performs a context-sensitive task. In: Proceedings of the Eighteenth Annual Conference of the Cognitive Science Society (pp. 335-339). La Jolla, CA. Lawrence Erlbaum Associates.

Van Leeuwen, C., Steyvers, M., & Nooter, M. (1997). Stability and intermittency in large-scale coupled oscillator models for perceptual segmentation. Journal of Mathematical Psychology, 41, 319-344. 

 

Publications by topic

Wisdom of Crowds

Bennett, S.T., Benjamin, A.S., & Steyvers, M. (in press). A Bayesian model of knowledge and metacognitive control: Applications to opt-in tasks. Proceedings of the Cognitive Science Society.

Miller, B. & Steyvers, M. (in press). Leveraging Response Consistency within Individuals to Improve Group Accuracy for Rank-Ordering Problems. Proceedings of the Cognitive Science Society.

Steyvers, M., Miller, B. (2015). Cognition and Collective Intelligence. In T.W. Malone and M.S. Bernstein  (Eds.) Handbook of Collective Intelligence. MIT Press, pp. 119-138.

Merkle, E.C., Steyvers, M., Mellers, B., and Tetlock, P.E. (2016). Item Response Models of Probability Judgments: Application to a Geopolitical Forecasting Tournament. Decision, 3(1), 1-19.

Steyvers, M. (2014). The Collective Memory Performance in a Recognition Memory Task. In Raaijmakers, Criss, Goldstone, Nosofsky, and Steyvers (Eds.) Cognitive Modeling in Perception and Memory. Routledge / Taylor & Francis
Lee, M.D., Steyvers, M., and Miller, B.J. (2014). A cognitive model for aggregating people's rankings. PLoS ONE, 9(5).
Qiang, L., Steyvers, M., & Ihler, A. (2013). Scoring Workers in Crowdsourcing: How Many Control Questions are Enough?  Advances in Neural Information Processing Systems, 26.
Steyvers, M., Wallsten, T.S., Merkle, E.C., and Turner, B.M. (2014). Evaluating Probabilistic Forecasts with Bayesian Signal Detection Models. Risk Analysis, 34(3), 2014
Merkle, E.C., and Steyvers, M. (2013). Choosing a strictly proper scoring rule. Decision Analysis, 10(4), 292-304.
Turner, B.M., Steyvers, M., Merkle, E.C., Budescu, D.V., Wallsten, T.S. (2014). Forecast Aggregation via Recalibration. Machine Learning, 95(3), 261-289.
Ditta, A.S., & Steyvers, M. (2013). Collaborative Memory in a Serial Combination Procedure. Memory, 21(6), 668-674.
Warnaar, D. B., Merkle, E. C., Steyvers, M., Wallsten, T. S., Stone, E. R., Budescu, D. V., Yates, J. F., Sieck, W. R., Arkes, H. R., Argenta, C. F., Shin, Y., & Carter, J. N. (2012).  The aggregative contingent estimation system: Selecting, rewarding, and training experts in a wisdom of crowds approach to forecasting.  Proceedings of the 2012 Association for the Advancement of Artificial Intelligence Spring Symposium Series.
Turner, B., & Steyvers, M. (2011). A Wisdom of the Crowd Approach to Forecasting. 2nd NIPS workshop on Computational Social Science and the Wisdom of Crowds.
Lee, M.D., Steyvers, M., de Young, M., & Miller. B.J. (2012). Inferring expertise in knowledge and prediction ranking tasks. Topics in Cognitive Science, 4, 151-163.
Yi, S.K.M., Steyvers, M., & Lee, M.D. (2012). The Wisdom of Crowds in Combinatorial Problems. Cognitive Science, 36(3), 452-470.
Lee, M.D., Steyvers, M., de Young, M., & Miller, B.J. (2011). A model-based approach to measuring expertise in ranking tasks.. In L. Carlson, C. Hölscher, & T.F. Shipley (Eds.), Proceedings of the 33rd Annual Conference of the Cognitive Science Society. Austin, TX: Cognitive Science Society.
Miller, B., & Steyvers, M. (2011). The Wisdom of Crowds with Communication. In L. Carlson, C. Hölscher, & T.F. Shipley (Eds.), Proceedings of the 33rd Annual Conference of the Cognitive Science Society. Austin, TX: Cognitive Science Society .
Merkle, E.C., & Steyvers, M. (2011). A Psychological Model for Aggregating Judgments of Magnitude. Conference on Social Computing, Behavioral Modeling, and Prediction, 11.
Yi, S.K.M., Steyvers, M., Lee, M.D., & Dry, M. (2010). Wisdom of Crowds in Minimum Spanning Tree Problems. Proceedings of the 32nd Annual Conference of the Cognitive Science Society. Mahwah, NJ: Lawrence Erlbaum..
Hemmer, P. & Steyvers, M., & Miller, B. (2010). The Wisdom of Crowds with Informative Priors. Proceedings of the 32nd Annual Conference of the Cognitive Science Society.
Steyvers, M., Lee, M.D., Miller, B., & Hemmer, P. (2009). The Wisdom of Crowds in the Recollection of Order Information. In Y. Bengio and D. Schuurmans and J. Lafferty and C. K. I. Williams and A. Culotta (Eds.) Advances in Neural Information Processing Systems, 22, pp. 1785-1793. MIT Press.  
Miller, B., Hemmer, P. Steyvers, M. & Lee, M.D. (2009). The Wisdom of Crowds in Ordering Problems. In: Proceedings of the Ninth International Conference on Cognitive Modeling. Manchester, UK.
Lee, M.D., Grothe, E., & Steyvers, M. (2009). Conjunction and Disjunction Fallacies in Prediction Markets. In N. Taatgen, H. van Rijn, L. Schomaker and J.Nerbonne (Eds.) Proceedings of the 31th Annual Conference of the Cognitive Science Society. Mahwah, NJ: Lawrence Erlbaum.


Joint Modeling in Cognitive Neuroscience

Cassey, P., Gaut. G., Steyvers, M., Brown, S.D. (2016). A generative joint model for spike trains and saccades during perceptual decision making. Psychonomic Bulletin and Review, 23, 1757-1778

Turner, B.M., Rodriguez, C.A., Norcia, T.M., McClure, S.M., & Steyvers, M. (2016). Why More Is Better: Simultaneous Modeling of EEG, fMRI, and Behavioral Data. NeuroImage, 128, 96-115.

Turner, B.M., Forstmann, B.U., Wagenmakers, E.J., Brown, S.D., Sederberg, P.B., and Steyvers, M. (2013). A Bayesian framework for simultaneously modeling neural and behavioral data. NeuroImage, 72, 193-206.


Memory and Knowledge Organization

Ditta, A.S., & Steyvers, M. (2013). Collaborative Memory in a Serial Combination Procedure. Memory, 21(6), 668-674.
Steyvers, M. & Hemmer, P. (2012). Reconstruction from Memory in Naturalistic Environments. In Brian H. Ross (Ed.) The Psychology of Learning and Motivation, Vol 56. Elsevier Publishing, pp. 126-144.
Shankle, W.R.,  Pooley, J.P. Steyvers, M., Hara, J. Mangrola, T., Reisberg, B., Lee, M.D. (in press). Relating Memory To Functional Performance In Normal Aging to Dementia Using Hierarchical Bayesian Cognitive Processing Models. Alzheimer Disease & Associated Disorders.  
Rubin, T.N., Zeigenfuse, M.D., & Steyvers, M. (2011). A model of concept generalization and feature representation in hierarchies. In L. Carlson, C. Hölscher, & T.F. Shipley (Eds.), Proceedings of the 33rd Annual Conference of the Cognitive Science Society. Austin, TX: Cognitive Science Society .
Hemmer, P. & Steyvers, M. (2009). Integrating Episodic and Semantic Information in Memory for Natural Scenes. In N. Taatgen, H. van Rijn, L. Schomaker and J.Nerbonne (Eds.) Proceedings of the 31th Annual Conference of the Cognitive Science Society. Mahwah, NJ: Lawrence Erlbaum.
Hemmer, P. & Steyvers, M. (2009). A Bayesian Account of Reconstructive Memory. Topics in Cognitive Science, 1, 189-202.
Hemmer, P., Steyvers, M. (2009). Integrating Episodic Memories and Prior Knowledge at Multiple Levels of Abstraction. Psychonomic Bulletin & Review, 16(1), 80-87.
Hemmer, P. & Steyvers, M. (2008). A Bayesian Account of Reconstructive Memory. In V. Sloutsky, B. Love, and K. McRae (Eds.) Proceedings of the 30th Annual Conference of the Cognitive Science Society. Mahwah, NJ: Lawrence Erlbaum
Steyvers, M. & Griffiths, T.L. (2008). Rational Analysis as a Link between Human Memory and Information Retrieval. In N. Chater and M Oaksford (Eds.) The Probabilistic Mind: Prospects from Rational Models of Cognition. Oxford University Press, pp. 327-347.
Griffiths, T.L., Steyvers, M., & Firl, A. (2007). Google and the mind: Predicting fluency with PageRank. Psychological Science, 18(12), pp. 1069-1076.
Brown, S.D., Steyvers, M., & Hemmer, P. (2007). Modeling Experimentally Induced Strategy Shifts. Psychological Science, 18, 40-45.
Griffiths, T.L., Steyvers, M., & Tenenbaum, J.B.T. (2007). Topics in Semantic Representation. Psychological Review, 114(2), 211-244.
Steyvers, M., Griffiths, T.L., & Dennis, S. (2006). Probabilistic inference in human semantic memory. Trends in Cognitive Sciences, 10(7), 327-334.

Steyvers, M., & Tenenbaum, J. (2005). The Large Scale Structure of Semantic Networks: Statistical Analyses and a Model of Semantic Growth.  Cognitive Science, 29(1), 41-78

Steyvers, M., Shiffrin, R.M., & Nelson, D.L. (2004). Word Association Spaces for Predicting Semantic Similarity Effects in Episodic Memory. In A. Healy (Ed.), Experimental Cognitive Psychology and its Applications. 

Steyvers, M., & Malmberg, K. (2003). The effect of normative context variability on recognition memory. Journal of Experimental Psychology: Learning, Memory, & Cognition, 29(5), 760-766.  Excel file with word and sample frequency counts for 26414 selected words from TASA corpus

Malmberg, K. J., Steyvers, M., Stephens, J. D., & Shiffrin, R.M. (2002).  Feature-frequency effects in recognition memory.  Memory & Cognition, 30(4), 607-613. 

Steyvers, M. (2000). Modeling semantic and orthographic similarity effects on memory for individual words. Dissertation, Psychology Department, Indiana University. Formatted for 55 pages 

Shiffrin, R.M. & Steyvers, M. (1997). A model for recognition memory: REM: Retrieving Effectively from Memory. Psychonomic Bulletin & Review, 4 (2), 145-166.

Shiffrin, R. M., & Steyvers, M. (1998). The effectiveness of retrieval from memory. In M. Oaksford & N. Chater (Eds.). Rational models of cognition. (pp. 73-95), Oxford, England: Oxford University Press. 


Topic Modeling

Gaut, G., Steyvers, M., Imel, Z., Atkins, D.C., & Smyth, P. (2017). Content Coding of Psychotherapy Transcripts Using Labeled Topic Models. IEEE Journal of Biomedical and Health Informatics, 21(2), 476-487  

Imel, Z. E., Steyvers, M., & Atkins, D. C. (2015). Computational Psychotherapy Research: Scaling up the Evaluation of Patient–Provider Interactions. Psychotherapy, 52(1), 19-30.
Atkins, D.C., Steyvers, M., Imel, Z.E., and Smyth, P. (2014). Scaling up the evaluation of psychotherapy: Evaluating motivational interviewing fidelity via statistical text classification. Implementation Science, 9(49), 1-11.
Atkins, D. C., Rubin, T. N., Steyvers, M., Doeden, M. A., Baucom, B. R., & Christensen, A. (2012). Topic Models: A Novel Method for Modeling Couple and Family Text Data. Journal of Family Psychology, 6, 816-827.
Pearl, L., & Steyvers, M. (2012). Detecting Authorship Deception: A Supervised Machine Learning Approach Using Author Writeprints. Literary and Linguistic Computing, 27(2), 183-196.
Rubin, T., Chambers, A., Smyth, P., & Steyvers, M. (2012). Statistical Topic Models for Multi-Label Document Classification. Journal of Machine Learning, 88(1), 157-208.
Holloway, A., Smyth, P, & Steyvers, M. (2010). Learning concept graphs from text with stick-breaking priors. Advances in Neural Information Processing Systems, 23.
Rubin, T.N., Zeigenfuse, M.D., & Steyvers, M. (2011). A model of concept generalization and feature representation in hierarchies. In L. Carlson, C. Hölscher, & T.F. Shipley (Eds.), Proceedings of the 33rd Annual Conference of the Cognitive Science Society. Austin, TX: Cognitive Science Society .
Steyvers, M. (2010). Combining feature norms and text data with topic models. Acta Psychologica, 133(3), 234-342.
Steyvers, M., Chemudugunta, C., & Smyth, P. (2010). Combining Background Knowledge and Learned Topics. Topics in Cognitive Science, 3, 18-47.
Rubin, T., & Steyvers, M. (2009). A Topic Model For Movie Choices and Ratings. In: Proceedings of the Ninth International Conference on Cognitive Modeling. Manchester, UK.
Rosen-Zvi, M., Chemudugunta, C., Griffiths, T., Smyth, P., & Steyvers, M. (2010). Learning Author-Topic Models from Text Corpora. ACM Transactions on Information Systems, 28(1), 1-38.
Chemudugunta, Smyth, P., & Steyvers, M. (2008). Combining Concept Hierarchies and Statistical Topic Models. In: ACM 17th Conference on Information and Knowledge Management.
Chemudugunta, C., Smyth, P., & Steyvers, M. (2008). Text Modeling using Unsupervised Topic Models and Concept Hierarchies. Technical Report
Chemudugunta, C., Holloway, A., Smyth, P., & Steyvers, M. (2008). Modeling Documents by Combining Semantic Concepts with Unsupervised Statistical Learning. In: 7th International Semantic Web Conference.
Steyvers, M. & Griffiths, T.L. (2008). Rational Analysis as a Link between Human Memory and Information Retrieval. In N. Chater and M Oaksford (Eds.) The Probabilistic Mind: Prospects from Rational Models of Cognition. Oxford University Press, pp. 327-347.
Chemudugunta, C., Smyth, P., & Steyvers, M. (2007). Modeling General and Specific Aspects of Documents with a Probabilistic Topic Model. In: Advances in Neural Information Processing Systems, 19.
Griffiths, T.L., Steyvers, M., & Tenenbaum, J.B.T. (2007). Topics in Semantic Representation. Psychological Review, 114(2), 211-244.
  Newman, D., Smyth, P., & Steyvers, M. (2006). Scalable Parallel Topic Models. Journal of Intelligence Community Research and Development.
Newman, D., Chemudugunta, C., Smyth, P., & Steyvers, M. (2006). Statistical entity-topic models. The Twelfth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. Philadelphia
Steyvers, M., Griffiths, T.L., & Dennis, S. (2006). Probabilistic inference in human semantic memory. Trends in Cognitive Sciences, 10(7), 327-334.
Newman, D., Chemudugunta, C., Smyth, P., & Steyvers, M. (2006). Analyzing entities and topics in news articles using statistical topic models. In: Springer Lecture Notes in Computer Science (LNCS) series -- IEEE International Conference on Intelligence and Security Informatics.
Steyvers, M. & Griffiths, T. (2006). Probabilistic topic models. In T. Landauer, D McNamara, S. Dennis, and W. Kintsch (eds), Latent Semantic Analysis: A Road to Meaning. Laurence Erlbaum

Griffiths, T., & Steyvers, M. (2004). Finding Scientific Topics. Proceedings of the National Academy of Sciences, 101 (suppl. 1), 5228-5235. 

Griffiths, T.L., & Steyvers, M., Blei, D.M., & Tenenbaum, J.B. (2005). Integrating Topics and Syntax. In: Advances in Neural Information Processing Systems, 17 (Saul, L.K et al., eds), 537-544. MIT Press. 

Rosen-Zvi, M., Griffiths T., Steyvers, M., & Smyth, P. (2004). The Author-Topic Model for Authors and Documents. In 20th Conference on Uncertainty in Artificial Intelligence. Banff, Canada

Steyvers, M., Smyth, P., Rosen-Zvi, M., & Griffiths, T. (2004). Probabilistic Author-Topic Models for Information Discovery. The Tenth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. Seattle, Washington.  

Griffiths, T.L., & Steyvers, M. (2002). A probabilistic approach to semantic representation. In: Proceedings of the Twenty-Fourth Annual Conference of Cognitive Science Society. George Mason University, Fairfax, VA.

Griffiths, T.L., & Steyvers, M. (2002). Prediction and semantic association. In: Advances in Neural Information Processing Systems 15, pp. 11-18. MIT Press.


Change Detection

Yi, S.K.M., Steyvers, M., & Lee, M.D. (2009). Modeling Human Performance on Restless Bandit Problems using Particle Filters. Journal of Problem Solving, 2(2), 33-53.
Brown, S.D., & Steyvers, M. (2009). Detecting and Predicting Changes. Cognitive Psychology, 58, 49-67.
Brown, S.D., Steyvers, M., & Hemmer, P. (2007). Modeling Experimentally Induced Strategy Shifts. Psychological Science, 18, 40-45.

Steyvers, M., & Brown, S. (2006). Prediction and Change Detection. In Y. Weiss, B. Scholkopf, and J. Platt (eds), Advances in Neural Information Processing Systems, 18, pp. 1281-1288. MIT Press.

Brown, S.D., & Steyvers, M. (2005). The Dynamics of Experimentally Induced Criterion Shifts. Journal of Experimental Psychology: Learning, Memory & Cognition, 31(4), 587-599.


Bandit Problems

Lee, M.D., Zhang, S., Munro, M., & Steyvers, M. (2011). Psychological models of human and optimal performance in bandit problems. Cognitive Systems Research 12, 164-174.
Yi, S.K.M., Steyvers, M., & Lee, M.D. (2009). Modeling Human Performance on Restless Bandit Problems using Particle Filters. Journal of Problem Solving, 2(2), 33-53.
Lee, M.D., Zhang, S., Munro, M., & Steyvers, M. (2009). Using Heuristic Models to Understand Human and Optimal Decision-Making on Bandit Problems. In: Proceedings of the Ninth International Conference on Cognitive Modeling. Manchester, UK.
Steyvers, M., Lee, M.D., & Wagenmakers, E.J. (2009). A Bayesian analysis of human decision-making on bandit problems. Journal of Mathematical Psychology, 53, 168-179.


Data Analysis

Tauber, S., Navarro, D.J., Perfors, A., & Steyvers, M. (2017). Bayesian models of cognition revisited: Setting optimality aside and letting data drive psychological theory. Psychological Review.

Tauber, S., Steyvers, M. (2013). Inference of Subjective Prior Knowledge: An Integrative Bayesian Approach. In M. Knauff, M. Pauen, Sebanz, N., and Wachsmuth (Eds.), Proceedings of the 35th Annual Conference of the Cognitive Science Society. Cognitive Science Society. (pp. 3510-3515)
Turner, B.M., Sederberg, P.B., Brown, S.D., and Steyvers, M. (2013). A Method for Efficiently Sampling from Distributions with Correlated Dimensions. Psychological Methods, 18(3), 368-384.
Wagenmakers, E.J., Grunwald, P., & Steyvers, M. (2006). Accumulative prediction error and the selection of time series models. Journal of Mathematical Psychology, 50, 149-166.
Navarro, D.J., Griffiths, T.L., Steyvers, S., & Lee, M.D. (2006). Modeling individual differences using Dirichlet processes. Journal of Mathematical Psychology, 50, 101-122.
Navarro, D. J., Griffiths, T. L., Steyvers, M. & Lee, M. D. (2005). Modeling individual differences with Dirichlet processes. In B. G. Bara, L. W. Barsalou & M. Bucciarelli (Eds.) Proceedings of the 27th Annual Conference of the Cognitive Science Society (pp. 1594-1599). Mahwah, NJ: Lawrence Erlbaum

Steyvers, M. (2002). Multidimensional Scaling. In: Encyclopedia of Cognitive Science. Nature Publishing Group, London, UK.

Steyvers, M., & Busey, T. (2000). Predicting Similarity Ratings to Faces using Physical Descriptions. In M. Wenger, & J. Townsend (Eds.), Computational, geometric, and process perspectives on facial cognition: Contexts and challenges. Lawrence Erlbaum Associates. (1) Set of all 60 faces (BMP format) plus geometric distances.  (2) Matrix of dissimilarity ratings to all 60 faces. Higher numbers --> more dissimilar. All ratings were z-transformed for each individual subject before averaging.


Conceptual and Perceptual Learning

Goldstone, R., Steyvers, M., & Rogosky, B.J. (2003). Conceptual Interrelatedness and Caricatures. Memory and Cognition, 31(2), 169-180. 

Goldstone, R.L., & Steyvers, M. (2001). The sensitization and differentiation of dimensions during category learning. Journal of Experimental Psychology, General, 130. 116-139. (1) (for software to create images as in Figure 1, download this example software in C) (2) All BMP images of the 4 x 4 grid in Figure 1 (3) A zipped package of all original BMP files with line files, including C program to create 10 x 10 grid of Figure 1. Also includes all the resulting BMP files of the 10 x 10 grid. See the README file for instructions.

Goldstone, R., Steyvers, M., Kersten, A., & Spencer-Smith, J. (2000). Interactions between perceptual and conceptual learning. In Dietrich, E., & A. Markman (eds.), Cognitive Dynamics: conceptual and representational change in humans and machines. Cambridge, MA: MIT Press.

Goldstone, R.L., Steyvers, M. & Larimer, K. (1996). Categorical Perception of Novel Dimensions. In Proceedings of the Eighteenth Annual Conference of the Cognitive Science Society (pp. 243-248). La Jolla, CA. Lawrence Erlbaum Associates. 


Lexical Decision

Wagenmakers, E-J., Zeelenberg, R., Steyvers, M., Shiffrin, R. M., & Raaijmakers, J. G. W. (2004). Nonword repetition in lexical decision: Evidence for two opposing processes. The Quarterly Journal of Experimental Psychology A, 57(7), 1191-1210.

Wagenmakers, E.J.M., Steyvers, M., Raaijmakers, J.G.W., Shiffrin, R.M., van Rijn, H., & Zeelenberg, R. (2004). A Model for Evidence Accumulation in the Lexical Decision Task. Cognitive Psychology, 48, 332-367. 

Steyvers, M., Wagenmakers, E.J.M., Shiffrin, R.M., Zeelenberg, R., & Raaijmakers, J.G.W. (2001). A Bayesian model for the time-course of lexical processing. In: Proceedings of the Fourth International Conference on Cognitive Modeling. George Mason University, Fairfax, VA. 


Other

Pearl, L., & Steyvers, M. (2013). “C’mon – You Should Read This”: Automatic Identification of Tone from Language Text. International Journal of Computational Linguistics (IJCL), 4(1), 1-30.
Hawkins, G., Brown, S.D., Steyvers, M., & Wagenmakers, E.J. (2012). An optimal adjustment procedure to minimize experiment time in decisions with multiple alternatives. Psychonomic Bulletin and Review, 19(2), 339-348. 
Hawkins, G., Brown, S.D., Steyvers, M., & Wagenmakers, E.J. (2012). Decision speed induces context effects in choice. Experimental Psychology, 59(4), 206-215
Hawkins, G., Brown, S.D., Steyvers, M., & Wagenmakers, E.J. (2012). Context effects in multi-alternative decision making: empirical data and a Bayesian model. Cognitive Science, 36(3), 498-516.
Pearl, L., Goldwater, S., & Steyvers, M. (2011). Online Learning Mechanisms for Bayesian Models of Word Segmentation. Research on Language and Computation, 8, 107-132
Tauber, S., & Steyvers, M. (in press). Using inverse planning and theory of mind for social goal inference. In L. Carlson, C. Hölscher, & T.F. Shipley (Eds.), Proceedings of the 33rd Annual Conference of the Cognitive Science Society. Austin, TX: Cognitive Science Society. Appendix
Pearl, L., & Steyvers, M. (2010) Identifying Emotions, Intentions, and Attitudes in Text Using a Game with a Purpose. NAACL-HLT 2010 Workshop on Computational Approaches to Analysis and Generation of Emotion in Text. Los Angeles, CA.
Pearl, L., Goldwater, S., & Steyvers, M. (2010) How Ideal Are We? Incorporating Human Limitations into Bayesian Models of Word Segmentation, BUCLD 34: Proceedings of the 34th annual Boston University Conference on Child Language Development, Somerville, MA: Cascadilla Press.
Brown, S.D., Steyvers, M., & Wagenmakers, E.J. (2009). Observing Evidence Accumulation During Multi-Alternative Decisions. Journal of Mathematical Psychology, 53(6), 453-462.

Steyvers, M., Tenenbaum, J., Wagenmakers, E.J., Blum, B. (2003). Inferring Causal Networks from Observations and Interventions. Cognitive Science, 27, 453-489

Steyvers, M. & Grunwald, P. (1996). A recurrent network that performs a context-sensitive task. In: Proceedings of the Eighteenth Annual Conference of the Cognitive Science Society (pp. 335-339). La Jolla, CA. Lawrence Erlbaum Associates.

Van Leeuwen, C., Steyvers, M., & Nooter, M. (1997). Stability and intermittency in large-scale coupled oscillator models for perceptual segmentation. Journal of Mathematical Psychology, 41, 319-344.