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Joshi, H., & Ustun, V. (2024). [Augmenting Cognitive Architectures with Large
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Language Models.](https://doi.org/10.1609/aaaiss.v2i1.27689)*Proceedings of
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Kirk, James R., Wray, Robert E., Lindes, Peter, & Laird, John E. (2024).
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[Improving knowledge extraction from LLMs for task learning through agent
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Marinier III, R. P., Bechtel, R., & Dallas, A. (2024). [Achieving Semi-Autonomous Robotic Behaviors Using the Soar Cognitive Architecture.](https://www.sae.org/publications/technical-papers/content/2024-01-3171/)*SAE Technical Paper 2024-01-3171.*
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Wu, S., Souza, R. F., Ritter, F. E., & Lima Jr, W. T. (2024). [Comparing LLMs for Prompt-Enhanced ACT-R and Soar Model Development.](https://ojs.aaai.org/index.php/AAAI-SS/article/view/27710)*AAAI Symposium Series, 2(1), 422–427.*
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## 2023
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Dang, C. V., Ahn, H., Kim, J., & Lee, S. C. (2023). [Collision-Free Navigation
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in Human-Following Task Using a Cognitive Robotic
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System.](https://doi.org/10.1109/TCDS.2022.3145915)*IEEE Transactions on
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Cognitive and Developmental Systems, 15(1), 78–87.*
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N.Narayan, P. Ganeriwala, R. Jones, M. Matessa, S. Bhattacharyya, J. Davis, H.
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Purohit and S. Rollini (2023). Assuring Learning-Enabled Increasingly Autonomous
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System. IEEE SYSCON 2023.
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Purohit and S. Rollini (2023). [Assuring Learning-Enabled Increasingly
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