Neil Bramley

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David LagnadoUniversity College LondonEmail verificata su ucl.ac.uk
Todd GureckisProfessor of Psychology, New York UniversityEmail verificata su nyu.edu
Tobias GerstenbergStanford UniversityEmail verificata su stanford.edu
Maarten SpeekenbrinkDepartment of Experimental Psychology, University College LondonEmail verificata su ucl.ac.uk
Zachary J. DavisPh.D. Candidate, New York UniversityEmail verificata su nyu.edu
Joshua B. TenenbaumMITEmail verificata su mit.edu
Ralf MayrhoferPostdoctoral Researcher, Department of Psychology, University of GöttingenEmail verificata su uni-goettingen.de
Azzurra RuggeriiSearch lab - Technical University Munich & Central European UniversityEmail verificata su tum.de
Ernest DavisProfessor of Computer Science, New York UniversityEmail verificata su cs.nyu.edu
Ethan Ludwin-PeeryIndependentEmail verificata su nyu.edu
Fei Xu (徐绯)Professor of Psychology, UC BerkeleyEmail verificata su berkeley.edu
Thomas L. GriffithsProfessor of Psychology and Computer Science, Princeton UniversityEmail verificata su princeton.edu
Teresa McCormackProfessor of Psychology, Queen's University BelfastEmail verificata su qub.ac.uk
Caren FroschLecturer in Psychology, University of LeicesterEmail verificata su le.ac.uk
Anna CoenenNew York UniversityEmail verificata su nyu.edu
Eric SchulzHelmholtz MunichEmail verificata su helmholtz-munich.de
Edgar D. KlenskeDr. Edgar KlenskeEmail verificata su klenske.net
Anselm RotheNew York UniversityEmail verificata su nyu.edu
Yuan MengUniversity of California, BerkeleyEmail verificata su berkeley.edu
Jonathan D NelsonLecturer, University of Surrey; Research Scientist, Max Planck InstituteEmail verificata su mpib-berlin.mpg.de

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Neil Bramley

The University of Edinburgh

Email verificata su ed.ac.uk - Home page

cognitive science causality active learning hypothesis generation


Titolo Ordina per citazioni Ordina per anno Ordina per titolo	Citata da Citata da	Anno
Formalizing Neurath’s ship: Approximate algorithms for online causal learning. NR Bramley, P Dayan, TL Griffiths, DA Lagnado Psychological Review 124 (3), 301, 2017	191	2017
Conservative forgetful scholars: How people learn causal structure through sequences of interventions. NR Bramley, DA Lagnado, M Speekenbrink Journal of Experimental Psychology: Learning, Memory, and Cognition 41 (3), 708, 2015	126	2015
Children’s Use of Interventions to Learn Causal Structure T McCormack, N Bramley, C Frosch, F Patrick, D Lagnado Journal of Experimental Child Psychology 141, 1-22, 2015	83	2015
Intuitive experimentation in the physical world NR Bramley, T Gerstenberg, JB Tenenbaum, TM Gureckis Cognitive Psychology 105, 9-38, 2018	69	2018
Time in causal structure learning. NR Bramley, T Gerstenberg, R Mayrhofer, DA Lagnado Journal of Experimental Psychology: Learning, Memory, and Cognition 44 (12 …, 2018	63	2018
Limits on simulation approaches in intuitive physics E Ludwin-Peery, NR Bramley, E Davis, TM Gureckis Cognitive Psychology 127, 101396, 2021	41	2021
Broken physics: A conjunction-fallacy effect in intuitive physical reasoning E Ludwin-Peery, NR Bramley, E Davis, TM Gureckis Psychological Science 31 (12), 1602-1611, 2020	41	2020
Grounding compositional hypothesis generation in specific instances NR Bramley, A Rothe, J Tenenbaum, F Xu, T Gureckis Proceedings of the 40th annual conference of the cognitive science society, 2018	34	2018
The order of things: Inferring causal structure from temporal patterns N Bramley, T Gerstenberg, D Lagnado Proceedings of the 36th Annual Meeting of the Cognitive Science Society 36 (36), 2014	27	2014
Causal learning from interventions and dynamics in continuous time. N Bramley, R Mayrhofer, T Gerstenberg, DA Lagnado Proceedings of the 39th Annual Meeting of the Cognitive Science Society, 2017	26	2017
A model of conceptual bootstrapping in human cognition B Zhao, CG Lucas, NR Bramley Nature Human Behaviour 8 (1), 125-136, 2024	24	2024
Active causal structure learning in continuous time T Gong, T Gerstenberg, R Mayrhofer, NR Bramley Cognitive Psychology 140, 101542, 2023	22	2023
Algorithms of Adaptation in Inductive Inference JP Fränken, NC Theodoropoulos, N Bramley Cognitive Psychology, 2022	22	2022
Children’s causal interventions combine discrimination and confirmation Y Meng, NR Bramley, F Xu Proceedings of the 40th annual conference of the Cognitive Science Society, 2018	22	2018
Causal structure learning in continuous systems ZJ Davis, NR Bramley, B Rehder Frontiers in Psychology 11, 244, 2020	21	2020
How do people generalize causal relations over objects? A non-parametric Bayesian account B Zhao, CG Lucas, N Bramley Computational Brain & Behavior, 2021	17	2021
Children's failure to control variables may reflect adaptive decision making NR Bramley, A Jones, TM Gureckis, A Ruggeri Psychonomic Bulletin & Review, 2022	16*	2022
Testing one or multiple: How beliefs about sparsity affect causal experimentation. A Coenen, A Ruggeri, NR Bramley, TM Gureckis Journal of Experimental Psychology: Learning, Memory, and Cognition 45 (11 …, 2019	16	2019
Strategic exploration in human adaptive control E Schulz, ED Klenske, NR Bramley, M Speekenbrink Proceedings of the 39th Annual Meeting of the Cognitive Science Society, 2017	16*	2017
Staying afloat on Neurath’s boat: Heuristics for sequential causal learning NR Bramley, P Dayan, DA Lagnado Proceedings of the 37th Annual Meeting of the Cognitive Science Society, 2015	16	2015

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