References

Works cited in the proposal. This list is not a complete literature review. A BibTeX file is on the downloads page.

Bajoria, S., Ranjan, S., M, A., Suri, V., Hassija, V., Chamola, V., & Hussain, A. (2026). From language models to agentic AI: A survey of autonomous, action-enabled, and collaborative LLM agents. Cognitive Computation, 18, 103. doi.org/10.1007/s12559-026-10619-1
Dhanorkar, S., Passi, S., & Vorvoreanu, M. (2026). Human oversight of agentic systems in practice: Examining the oversight work, challenges, and heuristics of developers using software agents. arXiv:2606.05391. doi.org/10.48550/arXiv.2606.05391
Jain, M., Kardes, E., Kiekintveld, C., Ordonez, F., & Tambe, M. (2010). Security games with arbitrary schedules: A branch and price approach. Proceedings of the AAAI Conference on Artificial Intelligence, 24(1), 792–797. doi.org/10.1609/aaai.v24i1.7611
Li, X., Wang, S., Zeng, S., Wu, Y., & Yang, Y. (2024). A survey on LLM-based multi-agent systems: Workflow, infrastructure, and challenges. Vicinagearth, 1, 9. doi.org/10.1007/s44336-024-00009-2
Parasuraman, R., Sheridan, T. B., & Wickens, C. D. (2000). A model for types and levels of human interaction with automation. IEEE Transactions on Systems, Man, and Cybernetics — Part A: Systems and Humans, 30(3), 286–297. doi.org/10.1109/3468.844354
Tabassi, E. (2023). Artificial Intelligence Risk Management Framework (AI RMF 1.0). National Institute of Standards and Technology. NIST AI 100-1. doi.org/10.6028/NIST.AI.100-1
Tran, K.-T., Dao, D., Nguyen, M.-D., Pham, Q.-V., O'Sullivan, B., & Nguyen, H. D. (2025). Multi-agent collaboration mechanisms: A survey of LLMs. arXiv:2501.06322. arxiv.org/abs/2501.06322