| Predictive modeling of individual human cognition: Upper bounds and a new perspective on performance N Riesterer, D Brand, M Ragni Topics in cognitive science 12 (3), 960-974, 2020 | 24 | 2020 |
| When does a reasoner respond: Nothing follows? M Ragni, H Dames, D Brand, N Riesterer CogSci, 2640-2546, 2019 | 19 | 2019 |
| Do Models Capture Individuals? Evaluating Parameterized Models for Syllogistic Reasoning. N Riesterer, D Brand, M Ragni CogSci, 2020 | 14 | 2020 |
| Modeling human syllogistic reasoning: The role of “No Valid Conclusion” N Riesterer, D Brand, H Dames, M Ragni Topics in cognitive science 12 (1), 446-459, 2020 | 13 | 2020 |
| The hybrid agent marco: A multimodal autonomous robotic chess opponent C Becker-Asano, E Meneses, N Riesterer, J Hué, C Dornhege, B Nebel Proceedings of the second international conference on Human-agent …, 2014 | 11 | 2014 |
| On the matter of aggregate models for syllogistic reasoning: A transitive set-based account for predicting the population D Brand, N Riesterer, M Ragni Proceedings of the 17th International Conference on Cognitive Modeling, 5-10, 2019 | 9 | 2019 |
| The predictive power of heuristic portfolios in human syllogistic reasoning N Riesterer, D Brand, M Ragni KI 2018: Advances in Artificial Intelligence: 41st German Conference on AI …, 2018 | 9 | 2018 |
| Extending TransSet: an individualized model for human syllogistic reasoning D Brand, N Riesterer, M Ragni Proceedings of the 18th International Conference on Cognitive Modeling, 17-22, 2020 | 7 | 2020 |
| Individuals become more logical without feedback. M Ragni, N Riesterer, S Khemlani, P Johnson-Laird Proceedings of the 40th Annual Conference of the Cognitive Science Society …, 2018 | 6 | 2018 |
| Feedback influences syllogistic strategy: An analysis based on joint nonnegative matrix factorization N Riesterer, D Brand, M Ragni Proceedings of the 18th international conference on cognitive modeling, 223-228, 2020 | 4 | 2020 |
| Embodiment, emotion, and chess: A system description C Becker-Asano, N Riesterer, J Hué, B Nebel Proceedings of the 4th International Symposium on New Frontiers in Human …, 2015 | 4 | 2015 |
| The predictive power of spatial relational reasoning models: A new evaluation approach M Ragni, D Brand, N Riesterer Frontiers in psychology 12, 626292, 2021 | 3 | 2021 |
| The Implications of Guessing Types in Multinomial Processing Tree Models: Conditional Reasoning as an Example N Riesterer, M Ragni Proceedings of the 16th International Conference on Cognitive Modeling, 114-119, 2018 | 3 | 2018 |
| Multinomial Processing Models for Syllogistic Reasoning: A Comparison H Dames, JO von Hartz, M Kantz, N Riesterer, M Ragni Proceedings of the 40th Annual Conference of the Cognitive Science Society …, 2018 | 3 | 2018 |
| Model‐Based Explanation of Feedback Effects in Syllogistic Reasoning D Brand, N Riesterer, M Ragni Topics in Cognitive Science 14 (4), 828-844, 2022 | 2 | 2022 |
| Analyzing the Differences in Human Reasoning via Joint Nonnegative Matrix Factorization. D Brand, N Riesterer, H Dames, M Ragni CogSci, 2020 | 2 | 2020 |
| Predicting Individual Human Reasoning: The PRECORE-Challenge. M Ragni, N Riesterer, S Khemlani CogSci, 9-10, 2019 | 2 | 2019 |
| Fully dynamic reorder policies with deep reinforcement learning for multi-echelon inventory management P Hammler, N Riesterer, T Braun Informatik Spektrum 46 (5), 240-251, 2023 | 1 | 2023 |
| Multi-echelon inventory optimization using deep reinforcement learning P Hammler, N Riesterer, G Mu, T Braun Quantitative Models in Life Science Business, 73, 2023 | 1 | 2023 |
| Unifying models for belief and syllogistic reasoning D Brand, NO Riesterer, M Ragni Proceedings of the Annual Meeting of the Cognitive Science Society 43 (43), 2021 | 1 | 2021 |
