Neil Bramley

Publication Activity (10 Years)

Years Active: 2013-2022
Publications (10 Years): 23

Top Topics

Temporal Patterns

Social Learning

Causal Structure

Belief Revision

Top Venues

Publications

Bob Rehder, Zachary J. Davis, Neil Bramley
The Paradox of Time in Dynamic Causal Systems. Entropy 24 (7) (2022)
Simon Valentin, Bonan Zhao, Chentian Jiang, Neil Bramley, Chris Lucas
Symbolic and Sub-Symbolic Systems in People and Machines. CogSci (2021)
Ethan Ludwin-Peery, Neil Bramley, Ernest Davis, Todd M. Gureckis
A Generalization Test of Conjunction Errors in Physical Reasoning. CogSci (2020)
Simon Valentin, Neil Bramley, Christopher Lucas
Learning Hidden Causal Structure from Temporal Data. CogSci (2020)
Jan-Philipp Fränken, Nikolas Theodoropoulos, Adam Moore, Neil Bramley
Belief revision in a micro-social network: Modeling sensitivity to statistical dependencies in social learning. CogSci (2020)
Zachary Davis, Neil Bramley, Bob Rehder
The Paradox of Time in Dynamic Causal Systems. CogSci (2020)
Bonan Zhao, Neil Bramley
Order Effects in One-shot Causal Generalization. CogSci (2020)
Zachary Davis, Neil Bramley, Bob Rehder, Todd M. Gureckis
Dynamic Control Under Changing Goals. CogSci (2020)
Tianwei Gong, Neil Bramley
What you didn't see: Prevention and generation in continuous time causal induction. CogSci (2020)
Héctor Otero Mediero, Neil Bramley
Contrasting RNN-based and simulation-based models of human physical parameter inference. CogSci (2020)
Ethan Ludwin-Peery, Neil Bramley, Ernest Davis, Todd M. Gureckis
Limits on the Use of Simulation in Physical Reasoning. CogSci (2019)
Shuaiji Li, Yu Sun, Sijia Liu, Tianyu Wang, Todd M. Gureckis, Neil Bramley
Active physical inference via reinforcement learning. CogSci (2019)
Zhiwei Li, Neil Bramley, Todd M. Gureckis
The critical moment is coming: Modeling the dynamics of suspense. CogSci (2019)
Zachary Davis, Neil Bramley, Bob Rehder, Todd M. Gureckis
A Causal Model Approach to Dynamic Control. CogSci (2018)
Zhiwei Li, Neil Bramley, Todd M. Gureckis
Modeling dynamics of suspense and surprise. CogSci (2018)
Yuan Meng, Neil Bramley, Fei Xu
Children's Causal Interventions Combine Discrimination and Confirmation. CogSci (2018)
Neil Bramley, Eric Schulz, Fei Xu, Josh Tenenbaum
Learning as program induction. CogSci (2018)
Zachary Davis, Neil Bramley, Bob Rehder
Causal Structure Learning with Continuous Variables in Continuous Time. CogSci (2018)
Neil Bramley, Anselm Rothe, Josh Tenenbaum, Fei Xu, Todd M. Gureckis
Grounding Compositional Hypothesis Generation in Specific Instances. CogSci (2018)
Eric Schulz, Edgar D. Klenske, Neil Bramley, Maarten Speekenbrink
Strategic exploration in human adaptive control. CogSci (2017)
Anna Coenen, Neil Bramley, Azzurra Ruggeri, Todd M. Gureckis
Beliefs about sparsity affect causal experimentation. CogSci (2017)
Neil Bramley, Ralf Mayrhofer, Tobias Gerstenberg, David A. Lagnado
Causal learning from interventions and dynamics in continuous time. CogSci (2017)
Neil Bramley, Tobias Gerstenberg, Joshua B. Tenenbaum
Natural science: Active learning in dynamic physical microworlds. CogSci (2016)
Neil Bramley, Peter Dayan, David A. Lagnado
Staying afloat on Neurath's boat - Heuristics for sequential causal learning. CogSci (2015)
Neil Bramley, Tobias Gerstenberg, David A. Lagnado
The order of things: Inferring causal structure from temporal patterns. CogSci (2014)
Neil Bramley, David A. Lagnado, Maarten Speekenbrink
Mechanisms of Active Causal Learning. CogSci (2013)