Interactive task learning JE Laird, K Gluck, J Anderson, KD Forbus, OC Jenkins, C Lebiere, ... IEEE Intelligent Systems 32 (4), 6-21, 2017 | 146 | 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 | 68 | 2012 |
Interactive task learning for simple games JR Kirk, JE Laird Advances in Cognitive Systems 3 (13-30), 5, 2014 | 64* | 2014 |
Learning task goals interactively with visual demonstrations J Kirk, A Mininger, J Laird Biologically Inspired Cognitive Architectures 18, 1-8, 2016 | 44 | 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 | 40 | 2019 |
Learning General and Efficient Representations of Novel Games Through Interactive Instruction JR Kirk, JE Laird Advances in Cognitive Systems 4, 2016 | 31 | 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 | 30 | 2017 |
Learning grounded language through situated interactive instruction S Mohan, A Mininger, J Kirk, JE Laird 2012 AAAI Fall Symposium Series, 2012 | 21 | 2012 |
A Computational Model for Situated Task Learning with Interactive Instruction S Mohan, J Kirk, J Laird International Conference on Cognitive Modeling, 291-296, 2013 | 18 | 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 | 14* | 2022 |
Language models as a knowledge source for cognitive agents RE Wray, JR Kirk, JE Laird arXiv preprint arXiv:2109.08270, 2021 | 13 | 2021 |
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 | 9* | 2024 |
Learning Hierarchical Compositional Task Definitions through Online Situated Interactive Language Instruction J Kirk | 8 | 2019 |
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 | 7 | 2022 |
A Demonstration of Interactive Task Learning J Kirk, A Mininger, J Laird | 5 | 2016 |
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 | 3 | 2023 |
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 |
Proposal for Cognitive Architecture and Transformer Integration: Online Learning from Agent Experience JE Laird, RE Wray, S Jones, JR Kirk, P Lindes Proceedings of the AAAI Symposium Series 2 (1), 302-306, 2023 | 1 | 2023 |
Improving Common Ground in Human-Machine Teaming: Dimensions, Gaps, and Priorities R Wray, J Kirk, J Folsom-Kovarik Artificial Intelligence and Social Computing 28 (28), 2022 | 1 | 2022 |
Characteristics of the Learning Problem in Situated Interactive Task Learning JE Laird, S Mohan, J Kirk, A Mininger | 1 | 2019 |