Heuristic Recognition and Rapid Response to Unfamiliar Events Outside of Agent Design Scope

by CICWebmaster | Apr 18, 2025 | News, Publications

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....

Eliciting Problem Specifications via Large Language Models

by CICWebsiteAdmin | May 29, 2024 | News, Publications

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....

Toward Constraint Compliant Goal Formulation and Planning

by CICWebsiteAdmin | May 29, 2024 | News, Publications

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....

Improving Knowledge Extraction from LLMs for Task Learning through Agent Analysis

by CICWebsiteAdmin | Feb 20, 2024 | News, Publications

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

by CICWebsiteAdmin | Apr 11, 2023 | News, Publications

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

by CICWebsiteAdmin | Feb 6, 2023 | News, Publications

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...