Heuristic Recognition and Rapid Response to Unfamiliar Events Outside of Agent Design Scope
Wray, R. E., Jones, S. J., & Laird, J. E. (2025). Heuristic Recognition and Rapid Response to Unfamiliar Events Outside of Agent Design Scope (arXiv:2504.12497). arXiv. https://doi.org/10.48550/arXiv.2504.12497
Eliciting Problem Specifications via Large Language Models
Wray, R. E., Kirk, J. R., & Laird, J. E. (2024). Eliciting Problem Specifications via Large Language Models. Proceedings of the Advances in Cognitive Systems Conference. Advances in Cognitive Systems Conference, Palermo. https://arxiv.org/abs/2405.12147
Toward Constraint Compliant Goal Formulation and Planning
Jones, S. J., & Wray, R. E. (2024). Toward Constraint Compliant Goal Formulation and Planning. Proceedings of the Advances in Cognitive Systems Conference. Advances in Cognitive Systems Conference, Palermo. https://arxiv.org/abs/2405.12862
Improving Knowledge Extraction from LLMs for Task Learning through Agent Analysis
Kirk, James R., Wray, R. E., Lindes, P., Laird, J. E. (2024). Improving Knowledge Extraction from LLMs for Task Learning through Agent Analysis. Proceedings of the 38th Annual AAAI Conference on Artificial Intelligence. Vancouver. Conference paper with additional...
Computational-level Analysis of Constraint Compliance for General Intelligence
Wray, R. E., Jones, S.J., & Laird, J. E. (2023). Computational-level Analysis of Constraint Compliance for General Intelligence. Proceedings of the Artificial General Intelligence (AGI) Conferences. Artificial General Intelligence, Stockholm/Virtual....
Integrating Diverse Knowledge Sources for Online One-shot Learning of Novel Tasks
We have written a paper, now on arXiv (https://arxiv.org/abs/2208.09554), that describes how we are integrating large-language models into Interactive Task Learning (ITL), where agents can learn new tasks thru interactive instruction. The paper outlines the role of...
Understanding how agents can prompt language models for learning novel tasks
Kirk, J., Wray, R. E., Lindes, P., & Laird, J. E. (2022, November). Improving Language Model Prompting in Support of Semi-autonomous Task Learning. Proceedings of the 2022 Advances in Cognitive Systems Conference. Advances in Cognitive Systems, Washington,...
Introduction to Soar
Laird, J. E. (2022) Introduction to Soar, arXiv: https://arxiv.org/abs/2205.03854.
Incorporating Abstract Behavioral Constraints in the Performance of Agent Tasks
Wray, R. E., & Laird, J. E. (2021, July). Incorporating Abstract Behavioral Constraints in the Performance of Agent Tasks. Proceedings of the International Conference on Artificial Intelligence. International Conference on Artificial Intelligence, Las Vegas, NV.
Language Models as a Knowledge Source for Cognitive Agents
Wray, R. E., Kirk, J. R., & Laird, J. E. (2021). Language Models as a Knowledge Source for Cognitive Agents. Proceedings of the Ninth Annual Conference on Advances in Cognitive Systems. Ninth Annual Conference on Advances in Cognitive Systems, Virtual....