| 2020 | CogSci | The evolution of category systems within and between learners. | Vanessa Ferdinand, Amy Perfors |
| 2020 | CogSci | Health beliefs and decision making. | Micah B. Goldwater, Amy Perfors, Zachary Horne, Cristine H. Legare, Ellen M. Markman |
| 2019 | CogSci | The impact of frequency on the evolution of category systems. | Vanessa Ferdinand, Charles Kemp, Amy Perfors |
| 2019 | CogSci | Modeling individual performance in cross-situational word learning. | Yung Han Khoe, Amy Perfors, Andrew Hendrickson |
| 2019 | CogSci | Generic noun phrases in child speech. | Samarth Mehrotra, Amy Perfors |
| 2019 | CogSci | Why do echo chambers form? The role of trust, population heterogeneity, and objective truth. | Amy Perfors, Danielle J. Navarro |
| 2019 | CogSci | Exploring the role that encoding and retrieval play in sampling effects. | Keith Ransom, Amy Perfors |
| 2018 | CogSci | Learning word meaning with little means: An investigation into the inferential capacity of paradigmatic information. | Simon De Deyne, Amy Perfors, Danielle J. Navarro |
| 2018 | CogSci | Human decision making in black swan situations. | Amy Perfors, Nicholas T. Van Dam |
| 2018 | CogSci | Stronger evidence isn't always better: A role for social inference in evidence selection and interpretation. | Amy Perfors, Danielle J. Navarro, Patrick Shafto |
| 2018 | CogSci | Representational and sampling assumptions drive individual differences in single category generalisation. | Keith Ransom, Andrew Hendrickson, Amy Perfors, Danielle J. Navarro |
| 2017 | CogSci | Priors, informative cues and ambiguity aversion. | Lauren Kennedy, Amy Perfors, Daniel J. Navarro |
| 2017 | CogSci | When do learned transformations influence similarity and categorization? | Steven Langsford, Andrew Hendrickson, Amy Perfors, Daniel J. Navarro |
| 2017 | CogSci | When extremists win: On the behavior of iterated learning chains when priors are heterogeneous. | Daniel J. Navarro, Amy Perfors, Arthur Kary, Scott Brown, Christopher Donkin |
| 2017 | CogSci | A cognitive analysis of deception without lying. | Keith Ransom, Wouter Voorspoels, Amy Perfors, Daniel J. Navarro |
| 2017 | IJCAI | Predicting Human Similarity Judgments with Distributional Models: The Value of Word Associations. | Simon De Deyne, Amy Perfors, Daniel J. Navarro |
| 2016 | CogSci | Do additional features help or harm during category learning? An exploration of the curse of dimensionality in human learners. | Wai Keen Vong, Andrew Hendrickson, Amy Perfors, Daniel J. Navarro |
| 2016 | COLING | Predicting human similarity judgments with distributional models: The value of word associations. | Simon De Deyne, Amy Perfors, Daniel J. Navarro |
| 2015 | CogSci | Evidence for widespread thematic structure in the mental lexicon. | Simon De Deyne, Steven Verheyen, Amy Perfors, Daniel J. Navarro |
| 2015 | CogSci | Sensitivity to communicative norms when deceiving without lying. | Keith Ransom, Wouter Voorspoels, Amy Perfors, Daniel J. Navarro |
| 2015 | CogSci | Gricean maxims influence inductive inference with negative observations. | Wouter Voorspoels, Daniel J. Navarro, Amy Perfors, Keith Ransom |
| 2014 | CogSci | Adaptive information source selection during hypothesis testing. | Andrew Hendrickson, Amy Perfors, Daniel J. Navarro |
| 2014 | CogSci | People are sensitive to hypothesis sparsity during category discrimination. | Steven Langsford, Andrew Hendrickson, Amy Perfors, Daniel J. Navarro |
| 2014 | CogSci | People ignore token frequency when deciding how widely to generalize. | Amy Perfors, Keith Ransom, Daniel J. Navarro |
| 2014 | CogSci | Inferring the hypothesis spaces underlying inductive generalization. | Sean Tauber, Daniel J. Navarro, Amy Perfors, Michael D. Lee |
| 2014 | CogSci | The relevance of labels in semi-supervised learning depends on category structure. | Wai Keen Vong, Amy Perfors, Daniel J. Navarro |
| 2013 | CogSci | The role of sampling assumptions in generalization with multiple categories. | Wai Keen Vong, Andrew Hendrickson, Amy Perfors, Daniel J. Navarro |
| 2012 | CogSci | Strong structure in weak semantic similarity: A graph based account. | Simon De Deyne, Daniel J. Navarro, Amy Perfors, Gert Storms |
| 2012 | CogSci | Anticipating changes: Adaptation and extrapolation in category learning. | Daniel J. Navarro, Amy Perfors |
| 2012 | CogSci | Probability matching vs over-regularization in language: Participant behavior depends on their interpretation of the task. | Amy Perfors |
| 2012 | CogSci | Musicians are better at learning non-native sound contrasts even in non-tonal languages. | Amy Perfors, Jia Hoong Ong |
| 2011 | CogSci | Humans use different statistics for sequence analysis depending on the task. | Dinis Gkaydin, Anna Ma-Wyatt, Daniel J. Navarro, Amy Perfors |
| 2011 | CogSci | To catch a liar: The effects of truthful and deceptive testimony on inferential learning. | Robert Montague, Daniel J. Navarro, Amy Perfors, Russell Warner, Patrick Shafto |
| 2011 | CogSci | Memory limitations alone do not lead to over-regularization: An experimental and computational investigation. | Amy Perfors |
| 2011 | CogSci | Language evolution is shaped by the structure of the world: An iterated learning analysis. | Amy Perfors, Daniel J. Navarro |
| 2011 | CogSci | Learning individual words and learning about words simultaneously. | Sylvia Yuan, Amy Perfors, Josh Tenenbaum, Fei Xu |