| 2021 | CogSci | Symbolic and Sub-Symbolic Systems in People and Machines. | Simon Valentin, Bonan Zhao, Chentian Jiang, Neil Bramley, Chris Lucas |
| 2020 | CogSci | The Paradox of Time in Dynamic Causal Systems. | Zachary Davis, Neil Bramley, Bob Rehder |
| 2020 | CogSci | Dynamic Control Under Changing Goals. | Zachary Davis, Neil Bramley, Bob Rehder, Todd M. Gureckis |
| 2020 | CogSci | Belief revision in a micro-social network: Modeling sensitivity to statistical dependencies in social learning. | Jan-Philipp Frnken, Nikolas Theodoropoulos, Adam Moore, Neil Bramley |
| 2020 | CogSci | What you didn't see: Prevention and generation in continuous time causal induction. | Tianwei Gong, Neil Bramley |
| 2020 | CogSci | A Generalization Test of Conjunction Errors in Physical Reasoning. | Ethan Ludwin-Peery, Neil Bramley, Ernest Davis, Todd M. Gureckis |
| 2020 | CogSci | Contrasting RNN-based and simulation-based models of human physical parameter inference. | Hctor Otero Mediero, Neil Bramley |
| 2020 | CogSci | Learning Hidden Causal Structure from Temporal Data. | Simon Valentin, Neil Bramley, Christopher Lucas |
| 2020 | CogSci | Order Effects in One-shot Causal Generalization. | Bonan Zhao, Neil Bramley |
| 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 |
| 2018 | CogSci | Grounding Compositional Hypothesis Generation in Specific Instances. | Neil Bramley, Anselm Rothe, Josh Tenenbaum, Fei Xu, Todd M. Gureckis |
| 2018 | CogSci | Learning as program induction. | Neil Bramley, Eric Schulz, Fei Xu, Josh Tenenbaum |
| 2018 | CogSci | Causal Structure Learning with Continuous Variables in Continuous Time. | Zachary Davis, Neil Bramley, Bob Rehder |
| 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 | Children's Causal Interventions Combine Discrimination and Confirmation. | Yuan Meng, Neil Bramley, Fei Xu |
| 2017 | CogSci | Causal learning from interventions and dynamics in continuous time. | Neil Bramley, Ralf Mayrhofer, Tobias Gerstenberg, David A. Lagnado |
| 2017 | CogSci | Beliefs about sparsity affect causal experimentation. | Anna Coenen, Neil Bramley, Azzurra Ruggeri, Todd M. Gureckis |
| 2017 | CogSci | Strategic exploration in human adaptive control. | Eric Schulz, Edgar D. Klenske, Neil Bramley, Maarten Speekenbrink |
| 2016 | CogSci | Natural science: Active learning in dynamic physical microworlds. | Neil Bramley, Tobias Gerstenberg, Joshua B. Tenenbaum |
| 2015 | CogSci | Staying afloat on Neurath's boat - Heuristics for sequential causal learning. | Neil Bramley, Peter Dayan, David A. Lagnado |
| 2014 | CogSci | The order of things: Inferring causal structure from temporal patterns. | Neil Bramley, Tobias Gerstenberg, David A. Lagnado |
| 2013 | CogSci | Mechanisms of Active Causal Learning. | Neil Bramley, David A. Lagnado, Maarten Speekenbrink |