| Real world problem-solving V Sarathy Frontiers in human neuroscience 12, 261, 2018 | 91 | 2018 |
| An Overview of the Distributed Integrated Cognition Affect and Reflection DIARC Architecture M Scheutz, T Williams, E Krause, B Oosterveld, V Sarathy, T Frasca | 91 | 2018 |
| Toward the engineering of virtuous machines NS Govindarajulu, S Bringsjord, R Ghosh, V Sarathy Proceedings of the 2019 AAAI/ACM Conference on AI, Ethics, and Society, 29-35, 2019 | 49 | 2019 |
| Spotter: Extending symbolic planning operators through targeted reinforcement learning V Sarathy, D Kasenberg, S Goel, J Sinapov, M Scheutz arXiv preprint arXiv:2012.13037, 2020 | 40 | 2020 |
| Learning behavioral norms in uncertain and changing contexts V Sarathy, M Scheutz, BF Malle 2017 8th IEEE International Conference on Cognitive Infocommunications …, 2017 | 39 | 2017 |
| MacGyver Problems: AI Challenges for Testing Resourcefulness and Creativity V Sarathy, T EDU, M Scheutz | 38 | 2018 |
| A novelty-centric agent architecture for changing worlds F Muhammad, V Sarathy, G Tatiya, S Goel, S Gyawali, M Guaman, ... Proceedings of the 20th International Conference on Autonomous Agents and …, 2021 | 30 | 2021 |
| A logic-based computational framework for inferring cognitive affordances V Sarathy, M Scheutz IEEE Transactions on Cognitive and Developmental Systems 10 (1), 26-43, 2016 | 27 | 2016 |
| Mental Representations and Computational Modeling of Context-Specific Human Norm Systems. V Sarathy, M Scheutz, YN Kenett, M Allaham, JL Austerweil, BF Malle CogSci 1, 1-1, 2017 | 25 | 2017 |
| Rapid-learn: A framework for learning to recover for handling novelties in open-world environments S Goel, Y Shukla, V Sarathy, M Scheutz, J Sinapov 2022 IEEE International Conference on Development and Learning (ICDL), 15-22, 2022 | 18 | 2022 |
| When exceptions are the norm: Exploring the role of consent in hri V Sarathy, T Arnold, M Scheutz ACM Transactions on Human-Robot Interaction (THRI) 8 (3), 1-21, 2019 | 17 | 2019 |
| From unstructured text to causal knowledge graphs: A transformer-based approach S Friedman, I Magnusson, V Sarathy, S Schmer-Galunder arXiv preprint arXiv:2202.11768, 2022 | 13 | 2022 |
| LgTS: Dynamic Task Sampling using LLM-generated sub-goals for Reinforcement Learning Agents Y Shukla, W Gao, V Sarathy, A Velasquez, R Wright, J Sinapov arXiv preprint arXiv:2310.09454, 2023 | 9 | 2023 |
| Developing a corpus of indirect speech act schemas A Roque, A Tsuetaki, V Sarathy, M Scheutz Proceedings of the Twelfth Language Resources and Evaluation Conference, 220-228, 2020 | 9 | 2020 |
| Enabling basic normative HRI in a cognitive robotic architecture V Sarathy, JR Wilson, T Arnold, M Scheutz arXiv preprint arXiv:1602.03814, 2016 | 9 | 2016 |
| The macgyver test-a framework for evaluating machine resourcefulness and creative problem solving V Sarathy, M Scheutz arXiv preprint arXiv:1704.08350, 2017 | 8 | 2017 |
| Cognitive affordance representations in uncertain logic V Sarathy, M Scheutz Fifteenth international conference on the principles of knowledge …, 2016 | 8 | 2016 |
| Reasoning requirements for indirect speech act interpretation V Sarathy, A Tsuetaki, A Roque, M Scheutz Proceedings of the 28th International Conference on Computational …, 2020 | 7 | 2020 |
| Semantic representation of objects and function V Sarathy, M Scheutz Proceedings of the 2015 IROS Workshop on Learning Object Affordances, 2015 | 7 | 2015 |
| A Generalized Framework for Detecting Anomalies in Real-Time using Contextual Information E Gizzi, L Le Vie, M Scheutz, V Sarathy, J Sinapov | 6 | 2018 |
Matthias ScheutzProfessor of Computer Science and Cognitive Science, Tufts UniversityVerified email at tufts.edu
