| 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 | 47 | 2023 |
| 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 |
| 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 | 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 | 8 | 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, 1-24, 2024 | 5 | 2024 |
| Complex exploration dynamics from simple heuristics in a collective learning environment. S Sloman, RL Goldstone, C Gonzalez CogSci, 2818-2824, 2019 | 4 | 2019 |
| 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, e40, 2024 | 2 | 2024 |
| The Fundamental Dilemma of Bayesian Active Meta-learning SJ Sloman, A Bharti, S Kaski arXiv preprint arXiv:2310.14968, 2023 | 2 | 2023 |
| Towards robust Bayesian adaptive design methods for the study of human behavior SJ Sloman Carnegie Mellon University, 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 |
| Bayesian Active Learning in the Presence of Nuisance Parameters SJ Sloman, A Bharti, J Martinelli, S Kaski | 1 | 2023 |
| Excess Capacity Learning M Dubova, SJ Sloman Proceedings of the Annual Meeting of the Cognitive Science Society 45 (45), 2023 | 1 | 2023 |
| A Comparison of Methods for Adaptive Experimentation S Horn, SJ Sloman arXiv preprint arXiv:2207.00683, 2022 | 1 | 2022 |
| One system for learning and remembering episodes and rules JTS Hewson, SJ Sloman, M Dubova arXiv preprint arXiv:2407.05884, 2024 | | 2024 |
| Learning relevant contextual variables within Bayesian Optimization J Martinelli, A Bharti, A Tiihonen, ST John, L Filstroff, SJ Sloman, P Rinke, ... arXiv preprint arXiv:2305.14120, 2023 | | 2023 |
| Cost-aware learning of relevant contextual variables within Bayesian optimization J Martinelli, A Bharti, ST John, A Tiihonen, S Sloman, L Filstroff, S Kaski CoRR, 2023 | | 2023 |
