| Interactive task learning JE Laird, K Gluck, J Anderson, KD Forbus, OC Jenkins, C Lebiere, ... IEEE Intelligent Systems 32 (4), 6-21, 2017 | 158 | 2017 |
| Acquiring Grounded Representations of Words with Situated Interactive Instruction S Mohan, A Mininger, J Kirk, J Laird Advances in Cognitive Systems 2, 113-130, 2012 | 69 | 2012 |
| Interactive task learning for simple games JR Kirk, JE Laird Advances in Cognitive Systems 3 (13-30), 5, 2014 | 67* | 2014 |
| Learning task goals interactively with visual demonstrations J Kirk, A Mininger, J Laird Biologically Inspired Cognitive Architectures 18, 1-8, 2016 | 45 | 2016 |
| Learning Hierarchical Symbolic Representations to Support Interactive Task Learning and Knowledge Transfer JR Kirk, JE Laird International Joint Conference on Artificial Intelligence (IJCAI), 2019 | 39 | 2019 |
| Learning General and Efficient Representations of Novel Games Through Interactive Instruction JR Kirk, JE Laird Advances in Cognitive Systems 4, 2016 | 32 | 2016 |
| Grounding language for interactive task learning P Lindes, A Mininger, JR Kirk, JE Laird Proceedings of the First Workshop on Language Grounding for Robotics, 1-9, 2017 | 31 | 2017 |
| Improving Knowledge Extraction from LLMs for Task Learning through Agent Analysis JR Kirk, RE Wray, P Lindes, JE Laird Proceedings of the AAAI Conference on Artificial Intelligence 38 (16), 18390 …, 2024 | 22* | 2024 |
| Learning grounded language through situated interactive instruction S Mohan, A Mininger, J Kirk, JE Laird 2012 AAAI Fall Symposium Series, 2012 | 21 | 2012 |
| Language models as a knowledge source for cognitive agents RE Wray, JR Kirk, JE Laird arXiv preprint arXiv:2109.08270, 2021 | 20 | 2021 |
| Interactive task learning: humans, robots, and agents acquiring new tasks through natural interactions KA Gluck, JE Laird MIT Press, 2019 | 20 | 2019 |
| A Computational Model for Situated Task Learning with Interactive Instruction S Mohan, J Kirk, J Laird International Conference on Cognitive Modeling, 291-296, 2013 | 19 | 2013 |
| Integrating diverse knowledge sources for online one-shot learning of novel tasks JR Kirk, RE Wray, P Lindes, JE Laird arXiv preprint arXiv:2208.09554, 2022 | 15* | 2022 |
| Exploiting language models as a source of knowledge for cognitive agents JR Kirk, RE Wray, JE Laird Proceedings of the AAAI Symposium Series 2 (1), 286-294, 2023 | 9 | 2023 |
| Improving language model prompting in support of semi-autonomous task learning JR Kirk, RE Wray, P Lindes, JE Laird arXiv preprint arXiv:2209.07636, 2022 | 9 | 2022 |
| Learning Hierarchical Compositional Task Definitions through Online Situated Interactive Language Instruction J Kirk | 8 | 2019 |
| A Demonstration of Interactive Task Learning J Kirk, A Mininger, J Laird | 5 | 2016 |
| Eliciting Problem Specifications via Large Language Models RE Wray, JR Kirk, JE Laird arXiv preprint arXiv:2405.12147, 2024 | 2 | 2024 |
| Improving common ground in human-machine teaming: dimensions, gaps, and priorities R Wray, J Kirk, J Folsom-Kovarik 13th International Conference on Applied Human Factors and Ergonomics (AHFE …, 2022 | 2 | 2022 |
| Agent requirements for effective and efficient task-oriented dialog S Mohan, JR Kirk, A Mininger, J Laird 2015 AAAI Fall Symposium Series, 2015 | 2 | 2015 |
John LairdEmeritus Professor of Computer Science and Engineering, University of Michiganumich.edu의 이메일 확인됨