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updated list of publications related to and especially using Soar
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## 2025
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Yuan, F., Zeng, J., Hu, Y., Zhu, Z., Yin, Q., & Xie, Y. (2025). [NL2GenSym:
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Natural Language to Generative Symbolic Rules for SOAR Cognitive Architecture
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via Large Language Models.](https://arxiv.org/abs/2510.09355)
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*arXiv:2510.09355.*
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Jayarathne, K. A. I. N., Rathnayaka, R., & Peiris, D. (2025). [Autonomous
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Underwater Cognitive System for Adaptive Navigation: A SLAM-Integrated
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Cognitive Architecture.](https://arxiv.org/abs/2511.11845) *arXiv:2511.11845.*
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Precup, S., Pirvu, B., Gellert, A., & Zamfirescu, C. B. (2025). [Cognitive
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Control Units in Smart Manufacturing: Insights from a Soar-Based Assistance
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System.](https://doi.org/10.1109/ACCESS.2025.3633609) *IEEE Access.*
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Zhou, R., Cao, H., Huang, J., Song, X., Huang, J., & Huang, Z. (2025). [Hybrid
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lane change strategy of autonomous vehicles based on SOAR cognitive
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architecture and deep reinforcement
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learning.](https://doi.org/10.1016/j.neucom.2024.128669) *Neurocomputing, 611,
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128669.*
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Hu, J., Wang, T., Wang, H., & Cao, J. (2025). [CogMUS: A Soar-Based Cognitive
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Framework for Mission Understanding in Multi-UAV Cooperative
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Operation.](https://www.mdpi.com/2504-446X/9/12/813) *Drones, 9(12), 813.*
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Wray, R. E., Kirk, J. R., & Laird, J. E. (2025). [Eliciting problem
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specifications for LLM-Modulo cognitive
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systems.](https://doi.org/10.1016/j.cogsys.2025.101409) *Cognitive Systems
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Research, 94, 101409.*
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Wray, R. E., Kirk, J. R., & Laird, J. E. (2025). [Applying Cognitive Design
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Patterns to General LLM Agents.](https://arxiv.org/abs/2505.07087) *Proceedings
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of AGI 2025.*
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Wray, R. E., Jones, S. J., & Laird, J. E. (2025). [Requirements for Recognition
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and Rapid Response to Unfamiliar Events Outside of Agent Design
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Scope.](https://arxiv.org/abs/2504.12497) *Proceedings of AGI 2025.*
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Boggs, J. (2025). [Deliberate Visual-Symbolic Reasoning in a Cognitive
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Architecture.](https://dx.doi.org/10.7302/27226) *Dissertation, University of
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Michigan.*
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Boggs, J. (2025). [Towards visual-symbolic integration in the Soar cognitive
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architecture.](https://doi.org/10.1016/j.cogsys.2025.101353) *Cognitive
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Systems Research, 91, 101353.*
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Schmidt, Moritz & Meitinger, Claudia “Leveraging Agent-Based Reasoning
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for Natural Task Delegation on the Shop Floor,” in Studies in Computational
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Intelligence, Cham: Springer Nature Switzerland, 2025, pp. 41–54. doi:
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[10.1007/978-3-031-85316-6_4](https://doi.org/10.1007/978-3-031-85316-6_4).
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## 2024
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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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the AAAI Symposium Series, 2(1), 281-285.*
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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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analysis.](https://doi.org/10.1609/aaai.v38i16.29799) *Proceedings of the
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Thirty-Eighth AAAI Conference on Artificial Intelligence (AAAI'24).*
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Ding, L., Tang, Y., Wang, T., Xie, T., Huang, P., & Yang, B. (2024). [A Cooperative Decision-Making Approach Based on a Soar Cognitive Architecture for Multi-Unmanned Vehicles.](https://www.mdpi.com/2504-446X/8/4/155) *Drones, 8(4), 155.*
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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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Jones, S. J., & Wray, R. E. (2024). [Toward Constraint Compliant Goal Formulation and Planning.](https://arxiv.org/abs/2405.12862) *Advances in Cognitive Systems (ACS).*
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Wray, R. E., Kirk, J. R., & Laird, J. E. (2024). [Eliciting Problem Specifications via Large Language Models.](https://arxiv.org/abs/2405.12147) *Advances in Cognitive Systems (ACS).*
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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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Autonomous System.](https://doi.org/10.1109/SysCon53073.2023.10131227) *IEEE
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SYSCON 2023.*
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## 2022
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