| 2025 | CHI | People Attribute Purpose to Autonomous Vehicles When Explaining Their Behavior: Insights from Cognitive Science for Explainable AI. | Balint Gyevnar, Stephanie Droop, Tadeg Quillien, Shay B. Cohen, Neil R. Bramley, Christopher G. Lucas, Stefano V. Albrecht |
| 2025 | CogSci | Decompose, Deduce, and Dispose: A Memory-Limited Metacognitive Model of Human Problem Solving. | Samuel J. Cheyette, Tony Chen, Matthias Hofer, Frederick Callaway, Neil R. Bramley, Joshua B. Tenenbaum |
| 2025 | CogSci | Unifying inference and selection in singular causal explanation. | Stephanie Droop, Tadeg Quillien, Neil R. Bramley |
| 2025 | CogSci | Identifying "when" and "whether" causation: How people distinguish generation, hastening, prevention, and delay. | Tianwei Gong, Yining Hou, Henrik Singmann, Neil R. Bramley |
| 2025 | CogSci | Bootstrapping in Geometric Puzzle Solving. | Xiangying He, Bonan Zhao, Neil R. Bramley |
| 2025 | CogSci | An Incremental Program Induction Model of Slow Mapping Words to Meanings. | Ella Markham, Hugh Rabagliati, Neil R. Bramley |
| 2025 | CogSci | A Normative Account of Specialization: How Task and Environment Shape Role Differentiation in Collaboration. | Elizabeth Mieczkowski, Ruaridh Mon-Williams, Neil R. Bramley, Christopher Guy Lucas, Natalia Vlez, Tom Griffiths |
| 2025 | CogSci | Integrating Specialist Judgments With and Without Mentalizing. | Danqin Zhao, Neil R. Bramley |
| 2024 | CogSci | Paradoxical parsimony: How latent complexity favors theory simplicity. | Tianwei Gong, Simon Valentin, Chris Lucas, Neil R. Bramley |
| 2024 | CogSci | Slow mapping words as incremental meaning refinement. | Ella Markham, Hugh Rabagliati, Neil R. Bramley |
| 2024 | CogSci | Functional Rule Inference from Causal Selection Explanations. | Nicolas Navarre, Can Konuk, Neil R. Bramley, Salvador Mascarenhas |
| 2023 | CogSci | Swipe and hold: composing interventions in continuous time causal learning. | Victor Btesh, David A. Lagnado, Maarten Speekenbrink, Neil R. Bramley |
| 2023 | CogSci | People seek easily interpretable information. | Samuel J. Cheyette, Frederick Callaway, Neil R. Bramley, Jonathan D. Nelson, Josh Tenenbaum |
| 2023 | CogSci | Extending counterfactual reasoning models to unconstrained social explanations. | Stephanie Droop, Neil R. Bramley |
| 2023 | CogSci | Causal inference shapes counterfactual plausibility. | Tadeg Quillien, Aba Szollosi, Neil R. Bramley, Chris Lucas |
| 2023 | CogSci | How do instructions, examples, and testing shape task representations? | Aba Szollosi, Vlad Grigoras, Tadeg Quillien, Chris Lucas, Neil R. Bramley |
| 2022 | CogSci | Inferring epistemic intention in simulated physical microworlds. | Stephanie Droop, Neil R. Bramley |
| 2022 | CogSci | Intuitions and Perceptual Constraints on Causal Learning from Dynamics. | Tianwei Gong, Neil R. Bramley |
| 2022 | CogSci | Categorizing perceived causal events. | Nicolas Marchant, Bonan Zhao, Neil R. Bramley, Diego Morales, Sergio E. Chaigneau |
| 2022 | CogSci | Generating and evaluating hypothesis testing strategies. | Aba Szollosi, Neil R. Bramley |
| 2022 | CogSci | Powering up causal generalization: A model of human conceptual bootstrapping with adaptor grammars. | Bonan Zhao, Neil R. Bramley, Chris Lucas |
| 2021 | CogSci | Know your network: Sensitivity to structure in social learning. | Jan-Philipp Frnken, Simon Valentin, Chris Lucas, Neil R. Bramley |
| 2021 | CogSci | Bayesian Experimental Design for Intractable Models of Cognition. | Simon Valentin, Steven Kleinegesse, Neil R. Bramley, Michael U. Gutmann, Chris Lucas |