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Sabina J. Sloman
Sabina J. Sloman
Department of Computer Science, University of Manchester
manchester.ac.uk의 이메일 확인됨
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Beyond collective intelligence: Collective adaptation
M Galesic, D Barkoczi, AM Berdahl, D Biro, G Carbone, I Giannoccaro, ...
Journal of the Royal Society Interface 20 (200), 20220736, 2023
642023
Think of the consequences: A decade of discourse about same-sex marriage
B Hemmatian, SJ Sloman, U Cohen Priva, SA Sloman
Behavior Research Methods 51, 1565-1585, 2019
112019
Life satisfaction among Aboriginals in the Canadian Prairies: Evidence from the Equality, Security and Community survey
C Barrington-Leigh, S Sloman
The International Indigenous Policy Journal 7 (2), 2016
112016
Can we detect conditioned variation in political speech? Two kinds of discussion and types of conversation
SJ Sloman, DM Oppenheimer, S DeDeo
Plos one 16 (2), e0246689, 2021
102021
Interpreting model comparison requires understanding model-stimulus relationships
SB Broomell, SJ Sloman, LM Blaha, J Chelen
Computational Brain & Behavior 2, 233-238, 2019
102019
Characterizing the robustness of Bayesian adaptive experimental designs to active learning bias
SJ Sloman, DM Oppenheimer, SB Broomell, CR Shalizi
arXiv preprint arXiv:2205.13698, 2022
92022
A Social Interpolation Model of Group Problem‐Solving
SJ Sloman, RL Goldstone, C Gonzalez
Cognitive Science 45 (12), e13066, 2021
72021
Knowing what to know: Implications of the choice of prior distribution on the behavior of adaptive design optimization
SJ Sloman, DR Cavagnaro, SB Broomell
Behavior Research Methods 56 (7), 7102-7125, 2024
62024
Explore your experimental designs and theories before you exploit them!
M Dubova, SJ Sloman, B Andrew, MR Nassar, S Musslick
Behavioral and Brain Sciences 47, 2024
42024
Complex exploration dynamics from simple heuristics in a collective learning environment.
S Sloman, RL Goldstone, C Gonzalez
CogSci, 2818-2824, 2019
42019
Bayesian Active Learning in the Presence of Nuisance Parameters
SJ Sloman, A Bharti, J Martinelli, S Kaski
32023
Towards robust Bayesian adaptive design methods for the study of human behavior
SJ Sloman
Carnegie Mellon University, 2022
32022
Automating the practice of science: Opportunities, challenges, and implications
S Musslick, LK Bartlett, SH Chandramouli, M Dubova, F Gobet, TL Griffiths, ...
Proceedings of the National Academy of Sciences 122 (5), e2401238121, 2025
22025
The Fundamental Dilemma of Bayesian Active Meta-learning
SJ Sloman, A Bharti, S Kaski
arXiv preprint arXiv:2310.14968, 2023
22023
Excess Capacity Learning
M Dubova, SJ Sloman
Proceedings of the Annual Meeting of the Cognitive Science Society 45 (45), 2023
22023
A Comparison of Methods for Adaptive Experimentation
S Horn, SJ Sloman
arXiv preprint arXiv:2207.00683, 2022
22022
You take the high road, and i’ll take the low road: Evaluating the topographical consistency of cognitive models
SJ Sloman, D Oppenheimer
Proceedings of the Annual Meeting of the Cognitive Science Society 42, 2020
22020
Diagnosing pervasive issues with parameter estimation.
S Sloman, S Broomell, T Kusuma
CogSci, 2020
22020
Is Ockham’s razor losing its edge? New perspectives on the principle of model parsimony
M Dubova, S Chandramouli, G Gigerenzer, P Grünwald, W Holmes, ...
Proceedings of the National Academy of Sciences 122 (5), e2401230121, 2025
12025
Proxy-informed Bayesian transfer learning with unknown sources
SJ Sloman, J Martinelli, S Kaski
arXiv preprint arXiv:2411.03263, 2024
2024
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