| 2025 | CogSci | How does social learning affect trapped learners? | Rheza Budiono, Catherine Hartley, Todd M. Gureckis |
| 2025 | CogSci | Goal Inference using Reward-Producing Programs in a Novel Physics Environment. | Guy Davidson, Graham Todd, Cdric Colas, Junyi Chu, Julian Togelius, Joshua B. Tenenbaum, Todd M. Gureckis, Brenden M. Lake |
| 2025 | CogSci | Estimating Intuitive Physical Parameters using Markov Chain Monte Carlo with People. | Pat Intara, Todd M. Gureckis |
| 2025 | CogSci | A Neurosymbolic Model of Human Reasoning on the Abstraction and Reasoning Corpus. | Solim LeGris, Brenden M. Lake, Todd M. Gureckis |
| 2025 | CogSci | Integration of Language and Experience via the Instructed Bandit Task. | Ellen Su, Mark K. Ho, Todd M. Gureckis |
| 2024 | CogSci | How does social learning affect stable false beliefs? | Rheza Budiono, Catherine Hartley, Todd M. Gureckis |
| 2024 | CogSci | Predicting Insight during Physical Reasoning. | Solim LeGris, Brenden M. Lake, Todd M. Gureckis |
| 2024 | CogSci | Reuse and Remixing in Question Asking Across Development. | Emily Liquin, Marjorie Rhodes, Todd M. Gureckis |
| 2024 | CogSci | A nonparametric model of object discovery. | Pat Little, Todd M. Gureckis |
| 2024 | CogSci | Investigating Flexible Role Binding in AI Agents. | Brian Pennisi, Todd M. Gureckis, Rheza Budiono, Mark K. Ho |
| 2024 | CogSci | Moment-to-moment decisions of when and how to help another person. | Pamela Osborn Popp, Todd M. Gureckis |
| 2023 | CogSci | Teaching and Learning Through Pedagogical Environment Design. | Emily Liquin, Nicole Luzuriaga, Todd M. Gureckis |
| 2022 | CogSci | Creativity, Compositionality, and Common Sense in Human Goal Generation. | Guy Davidson, Todd M. Gureckis, Brenden M. Lake |
| 2022 | CogSci | Where Questions Come From: Reusing Old Questions in New Situations. | Emily Liquin, Todd M. Gureckis |
| 2022 | CogSci | Rule discovery performance unchanged by incentives. | Pamela Osborn Popp, Ben R. Newell, Daniel M. Bartels, Todd M. Gureckis |
| 2022 | CogSci | Name that state: How language affects human reinforcement learning. | Angela Radulescu, Wai Keen Vong, Todd M. Gureckis |
| 2021 | CogSci | Fast and Flexible: Human program induction in abstract reasoning tasks. | Aysja Johnson, Wai Keen Vong, Brenden M. Lake, Todd M. Gureckis |
| 2021 | CogSci | Can losses help attenuate learning traps? | Amy X. Li, Todd M. Gureckis, Brett K. Hayes |
| 2021 | CogSci | Information sampling for contingency planning. | Ili Ma, Wei Ji Ma, Todd M. Gureckis |
| 2020 | CogSci | Dynamic Control Under Changing Goals. | Zachary Davis, Neil Bramley, Bob Rehder, Todd M. Gureckis |
| 2020 | CogSci | Extending the Rogers and McClelland Model of Semantic Cognition (2003) to work with Raw Pixel Information. | Arihant Jain, Brenden M. Lake, Todd M. Gureckis |
| 2020 | CogSci | A Generalization Test of Conjunction Errors in Physical Reasoning. | Ethan Ludwin-Peery, Neil Bramley, Ernest Davis, Todd M. Gureckis |
| 2020 | CogSci | Pictorial Depth Cues in Young Children's Drawings of Layouts and Objects. | Tho Morfoisse, Todd M. Gureckis, Moira R. Dillon |
| 2020 | CogSci | Ask or Tell: Balancing questions and instructions in intuitive teaching. | Pamela Osborn Popp, Todd M. Gureckis |
| 2019 | CogSci | Evidence of error-driven cross-situational word learning. | Chris Grimmick, Todd M. Gureckis, George Kachergis |
| 2019 | CogSci | Exploring informal science interventions to promote children's understanding of natural categories. | George Kachergis, Todd M. Gureckis, Marjorie Rhodes |
| 2019 | CogSci | The critical moment is coming: Modeling the dynamics of suspense. | Zhiwei Li, Neil Bramley, Todd M. Gureckis |
| 2019 | CogSci | Active physical inference via reinforcement learning. | Shuaiji Li, Yu Sun, Sijia Liu, Tianyu Wang, Todd M. Gureckis, Neil Bramley |
| 2019 | CogSci | Limits on the Use of Simulation in Physical Reasoning. | Ethan Ludwin-Peery, Neil Bramley, Ernest Davis, Todd M. Gureckis |
| 2019 | CogSci | Causal intervention strategies change across adolescence. | Kate Nussenbaum, Alexandra Cohen, Zachary Davis, David Halpern, Todd M. Gureckis, Catherine Hartley |
| 2019 | CogSci | Modeling Intuitive Teaching as Sequential Decision Making Under Uncertainty. | Pamela Osborn Popp, Todd M. Gureckis |
| 2019 | CogSci | Asking goal-oriented questions and learning from answers. | Anselm Rothe, Brenden M. Lake, Todd M. Gureckis |
| 2018 | CogSci | Contemporary Cognitive Approaches to Decision-Making. | Daniel M. Bartels, Oleg Urminsky, Todd M. Gureckis, Jennifer Trueblood |
| 2018 | CogSci | Grounding Compositional Hypothesis Generation in Specific Instances. | Neil Bramley, Anselm Rothe, Josh Tenenbaum, Fei Xu, Todd M. Gureckis |
| 2018 | CogSci | A Causal Model Approach to Dynamic Control. | Zachary Davis, Neil Bramley, Bob Rehder, Todd M. Gureckis |
| 2018 | CogSci | Modeling dynamics of suspense and surprise. | Zhiwei Li, Neil Bramley, Todd M. Gureckis |
| 2018 | CogSci | A neurocognitive model for predicting the fate of individual memories. | Shannon Tubridy, David Halpern, Lila Davachi, Todd M. Gureckis |
| 2018 | EDM | Knowledge Tracing Using the Brain. | David Halpern, Shannon Tubridy, Hong Yu Wang, Camille Gasser, Pamela Osborn Popp, Lila Davachi, Todd M. Gureckis |
| 2017 | CogSci | Beliefs about sparsity affect causal experimentation. | Anna Coenen, Neil Bramley, Azzurra Ruggeri, Todd M. Gureckis |
| 2017 | CogSci | How does of initial inaccuracy benefit cross-situational word learning? | Chris Grimmick, George Kachergis, Todd M. Gureckis |
| 2017 | CogSci | Categorization, Information Selection and Stimulus Uncertainty. | David Halpern, Todd M. Gureckis |
| 2017 | CogSci | Does a present bias influence exploratory choice? | Alexander S. Rich, Todd M. Gureckis |
| 2017 | CogSci | Progress in building a machine that can ask interesting and informative questions. | Anselm Rothe, Brenden M. Lake, Todd M. Gureckis |
| 2016 | CogSci | The distorting effect of deciding to stop sampling. | Anna Coenen, Todd M. Gureckis |
| 2016 | CogSci | Desirable difficulties in the development of active inquiry skills. | George Kachergis, Marjorie Rhodes, Todd M. Gureckis |
| 2016 | CogSci | Predictable stimulus onsets improve memory. | George Kachergis, Shannon Tubridy, Todd M. Gureckis |
| 2016 | CogSci | Asking and evaluating natural language questions. | Anselm Rothe, Brenden M. Lake, Todd M. Gureckis |
| 2016 | CogSci | Active control of study leads to improved episodic memory in children. | Azzurra Ruggeri, Douglas B. Markant, Todd M. Gureckis, Fei Xu |
| 2015 | CogSci | Are Biases When Making Causal Interventions Related to Biases in Belief Updating? | Anna Coenen, Todd M. Gureckis |
| 2015 | CogSci | Optimal stopping in a natural sampling task. | Anna Coenen, Todd M. Gureckis |
| 2015 | CogSci | Understanding developmental bottlenecks in active inquiry. | George Kachergis, Marjorie Rhodes, Todd M. Gureckis |
| 2015 | CogSci | Deep Neural Networks Predict Category Typicality Ratings for Images. | Brenden M. Lake, Wojciech Zaremba, Rob Fergus, Todd M. Gureckis |
| 2015 | CogSci | The Attentional Learning Trap and How to Avoid It. | Alexander Rich, Todd M. Gureckis |
| 2015 | CogSci | Asking useful questions: Active learning with rich queries. | Anselm Rothe, Brenden M. Lake, Todd M. Gureckis |
| 2014 | CogSci | Adaptive teaching: Improving the efficiency of learning through hypothesis-dependent selection of training data. | Patricia Angie Chan, Douglas Markant, Brenden M. Lake, Todd M. Gureckis |
| 2014 | CogSci | Decisions to intervene on causal systems are adaptively selected. | Anna Coenen, Bob Rehder, Todd M. Gureckis |
| 2014 | CogSci | Online Experiments using jsPsych, psiTurk, and Amazon Mechanical Turk. | Josh de Leeuw, Anna Coenen, Douglas Markant, Jay B. Martin, John V. McDonnell, Alexander Rich, Todd M. Gureckis |
| 2014 | CogSci | A preference for the unpredictable over the informative during self-directed learning. | Douglas Markant, Todd M. Gureckis |
| 2014 | CogSci | The value of approaching bad things. | Alexander Rich, Todd M. Gureckis |
| 2013 | CogSci | How does this thing work? Evaluating computational models of intervention-based causal learning. | Anna Coenen, Bob Rehder, Todd M. Gureckis |
| 2013 | CogSci | Changes in information search strategy under "dense" hypothesis spaces. | Douglas Markant, Todd M. Gureckis |
| 2013 | CogSci | Informavores: Active information foraging and human cognition. | Douglas Markant, Todd M. Gureckis, Bjrn Meder, Jonathan D. Nelson, Peter Pirolli, Chen Yu |
| 2012 | CogSci | One-shot lotteries in the park. | Mordechai Juni, Todd M. Gureckis, Laurence T. Maloney |
| 2012 | CogSci | The role of exploratory decision-making in enhancing episodic memory. | Douglas Markant, Sarah Dubrow, Lila Davachi, Todd M. Gureckis |
| 2012 | CogSci | Does the utility of information influence sampling behavior? | Douglas Markant, Todd M. Gureckis |
| 2012 | CogSci | One piece at a time: Learning complex rules through self-directed sampling. | Douglas Markant, Todd M. Gureckis |
| 2012 | CogSci | Self-directed information selection aids learning of logical rules. | John V. McDonnell, Devin Domingo, Todd M. Gureckis |
| 2012 | CogSci | Sparse category labels obstruct generalization of category membership. | John V. McDonnell, Carol A. Jew, Todd M. Gureckis |
| 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 |
| 2011 | CogSci | Does Category Labeling Lead to Forgetting? | Nathaniel Blanco, Todd M. Gureckis |
| 2011 | CogSci | Don't Stop 'Til You Get Enough: Adaptive Information Sampling in a Visuomotor Estimation Task. | Mordechai Juni, Todd M. Gureckis, Laurence T. Maloney |
| 2011 | CogSci | Modeling information sampling over the course of learning. | Douglas Markant, Todd M. Gureckis |
| 2011 | CogSci | Learning categories from an intermittent teacher. | John V. McDonnell, Todd M. Gureckis |
| 2002 | FlAIRS | Modeling Unsupervised Learning with SUSTAIN. | Todd M. Gureckis, Bradley C. Love |