Neil R. Bramley

29 papers A* 1B 22Journal 5Unranked 1

Year	Rank	Type	Title / Venue / Authors
2025	B	`conf`	A Normative Account of Specialization: How Task and Environment Shape Role Differentiation in Collaboration. CogSci Elizabeth Mieczkowski, Ruaridh Mon-Williams, Neil R. Bramley, Christopher Guy Lucas, Natalia Vélez, Tom Griffiths
2025	B	`conf`	An Incremental Program Induction Model of Slow Mapping Words to Meanings. CogSci Ella Markham, Hugh Rabagliati, Neil R. Bramley
2025	B	`conf`	Bootstrapping in Geometric Puzzle Solving. CogSci Xiangying He, Bonan Zhao, Neil R. Bramley
2025	B	`conf`	Decompose, Deduce, and Dispose: A Memory-Limited Metacognitive Model of Human Problem Solving. CogSci Samuel J. Cheyette, Tony Chen, Matthias Hofer, Frederick Callaway, Neil R. Bramley, Joshua B. Tenenbaum
2025	B	`conf`	Identifying "when" and "whether" causation: How people distinguish generation, hastening, prevention, and delay. CogSci Tianwei Gong, Yining Hou, Henrik Singmann, Neil R. Bramley
2025	B	`conf`	Integrating Specialist Judgments With and Without Mentalizing. CogSci Danqin Zhao, Neil R. Bramley
2025	J	`jnl`	Partner Modelling Emerges in Recurrent Agents (But Only When It Matters). CoRR Ruaridh Mon-Williams, Max Taylor-Davies, Elizabeth Mieczkowski, Natalia Vélez, Neil R. Bramley, Yanwei Wang, Thomas L. Griffiths, Christopher G. Lucas
2025	A*	`conf`	People Attribute Purpose to Autonomous Vehicles When Explaining Their Behavior: Insights from Cognitive Science for Explainable AI. CHI Balint Gyevnar, Stephanie Droop, Tadeg Quillien, Shay B. Cohen, Neil R. Bramley, Christopher G. Lucas, Stefano V. Albrecht
2025	B	`conf`	Unifying inference and selection in singular causal explanation. CogSci Stephanie Droop, Tadeg Quillien, Neil R. Bramley
2024	—	`conf`	Constructing Deep Concepts through Shallow Search. AAAI Spring Symposia Bonan Zhao, Christopher G. Lucas, Neil R. Bramley
2024	B	`conf`	Functional Rule Inference from Causal Selection Explanations. CogSci Nicolas Navarre, Can Konuk, Neil R. Bramley, Salvador Mascarenhas
2024	B	`conf`	Paradoxical parsimony: How latent complexity favors theory simplicity. CogSci Tianwei Gong, Simon Valentin, Chris Lucas, Neil R. Bramley
2024	B	`conf`	Slow mapping words as incremental meaning refinement. CogSci Ella Markham, Hugh Rabagliati, Neil R. Bramley
2023	B	`conf`	Causal inference shapes counterfactual plausibility. CogSci Tadeg Quillien, Aba Szollosi, Neil R. Bramley, Chris Lucas
2023	J	`jnl`	Designing Optimal Behavioral Experiments Using Machine Learning. CoRR Simon Valentin, Steven Kleinegesse, Neil R. Bramley, Peggy Seriès, Michael U. Gutmann, Christopher G. Lucas
2023	B	`conf`	Extending counterfactual reasoning models to unconstrained social explanations. CogSci Stephanie Droop, Neil R. Bramley
2023	B	`conf`	How do instructions, examples, and testing shape task representations? CogSci Aba Szollosi, Vlad Grigoras, Tadeg Quillien, Chris Lucas, Neil R. Bramley
2023	B	`conf`	People seek easily interpretable information. CogSci Samuel J. Cheyette, Frederick Callaway, Neil R. Bramley, Jonathan D. Nelson, Josh Tenenbaum
2023	B	`conf`	Swipe and hold: composing interventions in continuous time causal learning. CogSci Victor Btesh, David A. Lagnado, Maarten Speekenbrink, Neil R. Bramley
2022	B	`conf`	Categorizing perceived causal events. CogSci Nicolas Marchant, Bonan Zhao, Neil R. Bramley, Diego Morales, Sergio E. Chaigneau
2022	B	`conf`	Generating and evaluating hypothesis testing strategies. CogSci Aba Szollosi, Neil R. Bramley
2022	B	`conf`	Inferring epistemic intention in simulated physical microworlds. CogSci Stephanie Droop, Neil R. Bramley
2022	B	`conf`	Intuitions and Perceptual Constraints on Causal Learning from Dynamics. CogSci Tianwei Gong, Neil R. Bramley
2022	B	`conf`	Powering up causal generalization: A model of human conceptual bootstrapping with adaptor grammars. CogSci Bonan Zhao, Neil R. Bramley, Chris Lucas
2021	B	`conf`	Bayesian Experimental Design for Intractable Models of Cognition. CogSci Simon Valentin, Steven Kleinegesse, Neil R. Bramley, Michael U. Gutmann, Chris Lucas
2021	J	`jnl`	Bayesian Optimal Experimental Design for Simulator Models of Cognition. CoRR Simon Valentin, Steven Kleinegesse, Neil R. Bramley, Michael U. Gutmann, Christopher G. Lucas
2021	J	`jnl`	Building Object-based Causal Programs for Human-like Generalization. CoRR Bonan Zhao, Christopher G. Lucas, Neil R. Bramley
2021	B	`conf`	Know your network: Sensitivity to structure in social learning. CogSci Jan-Philipp Fränken, Simon Valentin, Chris Lucas, Neil R. Bramley
2016	J	`jnl`	Formalizing Neurath's Ship: Approximate Algorithms for Online Causal Learning. CoRR Neil R. Bramley, Peter Dayan, Thomas L. Griffiths, David A. Lagnado