| 2025 | CogSci | Rethinking Rumination: A Decision-Theoretic Approach Without Negativity Bias. | Michael Payton, Mary Vitello, Joseph L. Austerweil |
| 2023 | CogSci | Video games as a path to a contextualized cognitive science, or How to move beyond 20 questions with nature. | George Kachergis, Joseph L. Austerweil |
| 2021 | CogSci | Using Machine Teaching to Investigate Human Assumptions when Teaching Reinforcement Learners. | Yun-Shiuan Chuang, Xuezhou Zhang, Yuzhe Ma, Mark K. Ho, Joseph L. Austerweil, Jerry Zhu |
| 2021 | CogSci | Cognitive Properties of Norm Representations. | Bertram F. Malle, Joseph L. Austerweil, Vivienne Bihe Chi, Yoed N. Kenett, Emorie D. Beck, Stuti Thapa Magar, Mowafak Allaham |
| 2021 | CogSci | Inherence bias in explanation increases with age and cognitive impairment. | Jeffrey C. Zemla, Blake H. Chambers, Joseph L. Austerweil, Andrei Cimpian |
| 2020 | CogSci | The "Fraction Sense" Emerges from a Deep Convolutional Neural Network. | Yun-Shiuan Chuang, Edward Hubbard, Joseph L. Austerweil |
| 2020 | CogSci | Interactions Between Categorization and Intuitive Physics. | Anantha Rao, Joseph L. Austerweil |
| 2019 | CogSci | Evaluating Theories of Collaborative Cognition Using the Hawkes Process and a Large Naturalistic Data Set. | Mohsen Afrasiabi, Mark G. Orr, Joseph L. Austerweil |
| 2019 | CogSci | Novel categories are distinct from "Not"-categories. | Shi Xian Liew, Joseph L. Austerweil |
| 2019 | CogSci | Subjective Randomness in a Non-cooperative Game. | Michael Payton, Jeffrey C. Zemla, Joseph L. Austerweil |
| 2018 | CogSci | Rapid Learning in Early Attentional Processing: Bayesian Estimation of Trial-by-Trial Updating. | Aaron Cochrane, Joseph L. Austerweil, Vanessa R. Simmering, C. Shawn Green |
| 2018 | CogSci | Bayesian Generalization of Emojis. | Jacqueline Erens, Joseph L. Austerweil |
| 2018 | CogSci | Do Humans Navigate via Random Walks? Modeling Navigation in a Semantic Word Game. | Mohammad Isyroqi Fathan, Eli K. Renfro, Joseph L. Austerweil, Nicole M. Beckage |
| 2018 | CogSci | Effectively Learning from Pedagogical Demonstrations. | Mark K. Ho, Michael L. Littman, Fiery Cushman, Joseph L. Austerweil |
| 2018 | CogSci | Predictors of L2 word learning accuracy: A big data investigation. | Elise Hopman, Bill Thompson, Joseph L. Austerweil, Gary Lupyan |
| 2018 | CogSci | Possible Mechanisms of Bilingual Advantage on Creativity. | Kendra Lange, Elise Hopman, Elizabeth Pettit, Anantha Rao, Nicole M. Beckage, Jeffrey C. Zemla, Joseph L. Austerweil |
| 2017 | CogSci | PACKER: An Exemplar Model of Category Generation. | Nolan Conaway, Joseph L. Austerweil |
| 2017 | CogSci | Teaching by Intervention: Working Backwards, Undoing Mistakes, or Correcting Mistakes? | Mark K. Ho, Michael L. Littman, Joseph L. Austerweil |
| 2017 | CogSci | Interpreting Asymmetric Perception in Speech Perception with Bayesian Inference. | Jie Ren, Joseph L. Austerweil |
| 2017 | CogSci | Mental Representations and Computational Modeling of Context-Specific Human Norm Systems. | Vasanth Sarathy, Matthias Scheutz, Yoed N. Kenett, Mowafak Allaham, Joseph L. Austerweil, Bertram F. Malle |
| 2017 | CogSci | Modeling Semantic Fluency Data as Search on a Semantic Network. | Jeffrey C. Zemla, Joseph L. Austerweil |
| 2016 | CogSci | The Sapir-Whorf Hypothesis and Probabilistic Inference: Evidence from the Domain of Color. | Emily Cibelli, Yang Xu, Joseph L. Austerweil, Thomas L. Griffiths, Terry Regier |
| 2016 | CogSci | Feature-based Joint Planning and Norm Learning in Collaborative Games. | Mark K. Ho, James MacGlashan, Amy Greenwald, Michael L. Littman, Elizabeth Hilliard, Carl Trimbach, Stephen Brawner, Josh Tenenbaum, Max Kleiman-Weiner, Joseph L. Austerweil |
| 2016 | CogSci | Examining Search Processes in Low and High Creative Individuals with Random Walks. | Yoed N. Kenett, Joseph L. Austerweil |
| 2016 | CogSci | Coordinate to cooperate or compete: Abstract goals and joint intentions in social interaction. | Max Kleiman-Weiner, Mark K. Ho, Joseph L. Austerweil, Michael L. Littman, Josh Tenenbaum |
| 2016 | CogSci | The construction of function representations. | Brian Montambault, Christopher Lucas, Joseph L. Austerweil |
| 2016 | CogSci | U-INVITE: Estimating Individual Semantic Networks from Fluency Data. | Jeffrey C. Zemla, Yoed N. Kenett, Kwang-Sung Jun, Joseph L. Austerweil |
| 2015 | CogSci | Teaching with Rewards and Punishments: Reinforcement or Communication? | Mark K. Ho, Michael L. Littman, Fiery Cushman, Joseph L. Austerweil |
| 2015 | CogSci | Learning Additive and Substitutive Features. | Ting Qian, Joseph L. Austerweil |
| 2014 | CogSci | Testing the psychological validity of cluster construction biases. | Joseph L. Austerweil |
| 2012 | CogSci | Constructing a hypothesis space from the Web for large-scale Bayesian word learning. | Joshua T. Abbott, Joseph L. Austerweil, Thomas L. Griffiths |
| 2012 | CogSci | Comparing the inductive biases of simple neural networks and Bayesian models. | Thomas L. Griffiths, Joseph L. Austerweil, Vincent G. Berthiaume |
| 2011 | CogSci | Grow your own representations: Computational constructivism. | Joseph L. Austerweil, Thomas L. Griffiths, Todd M. Gureckis, Robert L. Goldstone, Kevin Robert Canini, Matt Jones |
| 2007 | NAACL | A Unified Local and Global Model for Discourse Coherence. | Micha Elsner, Joseph L. Austerweil, Eugene Charniak |
| 2006 | NAACL | Multilevel Coarse-to-Fine PCFG Parsing. | Eugene Charniak, Mark Johnson, Micha Elsner, Joseph L. Austerweil, David A. Ellis, Isaac Haxton, Catherine Hill, R. Shrivaths, Jeremy Moore, Michael Pozar, Theresa Vu |