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English Information

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Authors
# Name
1 Rávilla Moreira(ravillanoely@gmail.com)
2 Danilo Seufitelli(danilobs@cefetmg.br)

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Reference
# Reference
1 Amaral, K., Andrade, L., and Campos, E. (2025). O uso da inteligência artificial na otimização de consultas em bancos de dados. Revista Camalotes, 4.
2 ANTHROPIC (2026). Claude 3.5 sonnet: Technical documentation. https://www.anthropic.com/claude. Disponível em: https://www.anthropic.com/claude. Acesso em: mar. 2026.
3 Chaudhari, B. (2025). Automated database tuning using ai: A comprehensive framework for real-time performance optimization. In myresearchgo Vidya-Varta 2025, pages 12-31. Vidya-Varta Publication, India.
4 CrewAI Inc. (2026). CrewAl documentation. https://docs.crewai.com. Acesso em: mar. 2026.
5 Lao, J., Wang, Y., Li, Y., Wang, J., Zhang, Y., Cheng, Z., Chen, W., Tang, M., and Wang, J. (2024). Gptuner: A manual-reading database tuning system via gpt-guided bayesian optimization. Proc. VLDB Endow., 17(8):1939-1952.
6 Marcus, R. and Papaemmanouil, O. (2018). Deep reinforcement learning for join order enumeration. In Proceedings of the First International Workshop on Exploiting Artificial Intelligence Techniques for Data Management, aiDM'18, New York, NY, USA. Association for Computing Machinery.
7 Morelli, E. T., Monteiro, J. M., Almeida, A. C., and Lifschitz, S. (2009). Reindexação automática em sgbds relacionais. In Brayner, A., editor, XXIV Simpósio Brasileiro de Banco de Dados, 05-09 de Outubro, Fortaleza, Ceará, Brasil, Anais, pages 31-45. SBC.
8 Mozaffari, M., Dignös, A., Gamper, J., and Störl, U. (2024). Self-tuning database systems: A systematic literature review of automatic database schema design and tuning. ACM Comput. Surv., 56(11).
9 Oliveira, R., Baião, F., Machado, J., Almeida, A. C., and Lifschitz, S. (2022). Autonomic combination and selection of tuning actions. In Anais do XXXVII Simpósio Brasileiro de Bancos de Dados, pages 39-51, Porto Alegre, RS, Brasil. SBC.
10 Petrola, L., Brayner, A., and Franco, W. (2025). Heuristic-guided text-to-sql translation with llms: Optimizing natural language interfaces for relational databases. In Anais do XL Simpósio Brasileiro de Bancos de Dados, pages 126-139, Porto Alegre, RS, Brasil. SBC.
11 Sharma, A., Schuhknecht, F., and Dittrich, J. (2018). The case for automatic database administration using deep reinforcement learning. https://doi.org/10.48550/arXiv.1801.05643.
12 Wooldridge, M. (2009). An Introduction to Multiagent Systems. John Wiley & Sons, 2 edition.