Structure Induction in Diagnostic Causal Reasoning B Meder, R Mayrhofer, MR Waldmann Psychological Review, 2014 | 108 | 2014 |
Agents and causes: Dispositional intuitions as a guide to causal structure R Mayrhofer, MR Waldmann Cognitive Science 39, 65-95, 2015 | 63 | 2015 |
Time in causal structure learning. NR Bramley, T Gerstenberg, R Mayrhofer, DA Lagnado Journal of Experimental Psychology: Learning, Memory, and Cognition 44 (12 …, 2018 | 62 | 2018 |
Hybrid Causal Representations MR Waldmann, R Mayrhofer Psychology of Learning and Motivation 65, 85-127, 2016 | 31 | 2016 |
Time and singular causation—a computational model S Stephan, R Mayrhofer, MR Waldmann Cognitive Science 44 (7), e12871, 2020 | 30 | 2020 |
Structured correlation from the causal background R Mayrhofer, ND Goodman, MR Waldmann, JB Tenenbaum Proceedings of the annual meeting of the cognitive science society 30 (30), 2008 | 30 | 2008 |
Diagnostic causal reasoning with verbal information B Meder, R Mayrhofer Cognitive Psychology 96, 54-84, 2017 | 29 | 2017 |
Sufficiency and Necessity Assumptions in Causal Structure Induction R Mayrhofer, MR Waldmann Cognitive science 40 (8), 2137-2150, 2016 | 27 | 2016 |
Causal learning from interventions and dynamics in continuous time. N Bramley, R Mayrhofer, T Gerstenberg, DA Lagnado CogSci, 2017 | 26 | 2017 |
A rational model of elemental diagnostic inference B Meder, R Mayrhofer, MR Waldmann Proceedings of the 31st annual conference of the Cognitive Science Society …, 2009 | 24 | 2009 |
Indicators of causal agency in physical interactions: The role of the prior context R Mayrhofer, MR Waldmann Cognition 132 (3), 485-490, 2014 | 23 | 2014 |
Agents and causes: A Bayesian error attribution model of causal reasoning R Mayrhofer, Y Hagmayer, M Waldmann Proceedings of the Annual Meeting of the Cognitive Science Society 32 (32), 2010 | 22 | 2010 |
Active causal structure learning in continuous time T Gong, T Gerstenberg, R Mayrhofer, NR Bramley Cognitive Psychology 140, 101542, 2023 | 21 | 2023 |
Heuristics in covariation-based induction of causal models: Sufficiency and necessity priors R Mayrhofer, M Waldmann Proceedings of the Annual Meeting of the Cognitive Science Society 33 (33), 2011 | 21 | 2011 |
Successful structure learning from observational data A Rothe, B Deverett, R Mayrhofer, C Kemp Cognition 179, 266-297, 2018 | 20 | 2018 |
Diagnostic reasoning B Meder, R Mayrhofer Oxford handbook of causal reasoning, 433-458, 2017 | 20 | 2017 |
Developmental trajectories in the understanding of everyday uncertainty terms B Meder, R Mayrhofer, A Ruggeri Topics in Cognitive Science 14 (2), 258-281, 2022 | 11 | 2022 |
Causal Status meets Coherence: The Explanatory Role of Causal Models in Categorization R Mayrhofer, A Rothe Proceedings of the 34th Annual Conference of the Cognitive Science Society, 2012 | 10 | 2012 |
Intervening in time NR Bramley, T Gerstenberg, R Mayrhofer, DA Lagnado Time and causality across the sciences, 86-115, 2019 | 9 | 2019 |
Causal agency and the perception of force R Mayrhofer, MR Waldmann Psychonomic Bulletin & Review, 2015 | 9 | 2015 |