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 | 64 | 2023 |
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 | 11 | 2019 |
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 | 11 | 2016 |
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 | 10 | 2021 |
Interpreting model comparison requires understanding model-stimulus relationships SB Broomell, SJ Sloman, LM Blaha, J Chelen Computational Brain & Behavior 2, 233-238, 2019 | 10 | 2019 |
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 | 9 | 2022 |
A Social Interpolation Model of Group Problem‐Solving SJ Sloman, RL Goldstone, C Gonzalez Cognitive Science 45 (12), e13066, 2021 | 7 | 2021 |
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 | 6 | 2024 |
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 | 4 | 2024 |
Complex exploration dynamics from simple heuristics in a collective learning environment. S Sloman, RL Goldstone, C Gonzalez CogSci, 2818-2824, 2019 | 4 | 2019 |
Bayesian Active Learning in the Presence of Nuisance Parameters SJ Sloman, A Bharti, J Martinelli, S Kaski | 3 | 2023 |
Towards robust Bayesian adaptive design methods for the study of human behavior SJ Sloman Carnegie Mellon University, 2022 | 3 | 2022 |
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 | 2 | 2025 |
The Fundamental Dilemma of Bayesian Active Meta-learning SJ Sloman, A Bharti, S Kaski arXiv preprint arXiv:2310.14968, 2023 | 2 | 2023 |
Excess Capacity Learning M Dubova, SJ Sloman Proceedings of the Annual Meeting of the Cognitive Science Society 45 (45), 2023 | 2 | 2023 |
A Comparison of Methods for Adaptive Experimentation S Horn, SJ Sloman arXiv preprint arXiv:2207.00683, 2022 | 2 | 2022 |
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 | 2 | 2020 |
Diagnosing pervasive issues with parameter estimation. S Sloman, S Broomell, T Kusuma CogSci, 2020 | 2 | 2020 |
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 | 1 | 2025 |
Proxy-informed Bayesian transfer learning with unknown sources SJ Sloman, J Martinelli, S Kaski arXiv preprint arXiv:2411.03263, 2024 | | 2024 |