Assisting Generative AI Processes Based on Automatic Reasoning
Keywords:
AI, MiniMax, AJAXAbstract
Generative AI processes can be significantly improved by incorporating automatic reasoning techniques, such as the MiniMax algorithm, commonly employed in decision-making contexts like game theory. Functional programming prioritizes immutability and first-class functions, while logic programming centers around declarative problem-solving through the use of rules and facts. Also, AJAX requests are essential for facilitating asynchronous data exchange between the client and server, enabling real-time updates and smooth interactions in AI-driven applications.
References
Sengar, S.S., Hasan, A.B., Kumar, S.(2024). Generative artificial intelligence: a systematic review and applications. Multimed Tools Appl. https://doi.org/10.1007/s11042-024-20016-1
Wu, J., Zhu, J., & Liu, Y. (2025). Agentic Reasoning: Reasoning LLMs with Tools for the Deep Research. arXiv [Cs.AI]. Retrieved from http://arxiv.org/abs/2502.04644
Kabudi, T., Pappas, I., & Olsen, D. H. (2021). AI-enabled adaptive learning systems: A systematic mapping of the literature. Computers and Education: Artificial Intelligence, 2, 100017. doi:10.1016/j.caeai.2021.100017
Arthur I. M.(2019), 10 Ian Goodfellow's Generative Adversarial Networks: AI Learns to Imagine, in The Artist in the Machine: The World of AI-Powered Creativity , MIT Press, 2019, pp.87-98.
Mills, O.(2023), Inside GANs: Understanding the duel of generator and discriminator, URL: https://oliviermills.com/articles/inside-gans-understanding-duel-generator-discriminator
de Souza, V. L., Marques, B. A. D., Batagelo, H. C., & Gois, J. P. (2023). A review on Generative Adversarial Networks for image generation. Computers & Graphics, 114, 13–25. doi:10.1016/j.cag.2023.05.010
Preeti, Kumar, M., & Sharma, H. K. (2023). A GAN-Based Model of Deepfake Detection in Social Media. Procedia Computer Science, 218, 2153–2162. doi:10.1016/j.procs.2023.01.191
Gandhi, V. (2015). Chapter 2 - Interfacing Brain and Machine. In V. Gandhi (Ed.), Brain-Computer Interfacing for Assistive Robotics (pp. 7–63). doi:10.1016/B978-0-12-801543-8.00002-8
Dat, M. (2024). StockGPT: A GenAI Model for Stock Prediction and Trading. URL: https://arxiv.org/html/2404.05101v1
Mienye, I.D., Swart, T.G. (2025). Deep Autoencoder Neural Networks: A Comprehensive Review and New Perspectives. Arch Computat Methods Eng. https://doi.org/10.1007/s11831-025-10260-5
Jiang, Y., Ma, X., & Li, X. (2025). Towards virtual sample generation with various data conditions: A comprehensive review. Information Fusion, 117, 102874. doi:10.1016/j.inffus.2024.102874
Guo, Z., Lang, J., Huang, S., Gao, Y., Ding, X. (2025). A Comprehensive Review on Noise Control of Diffusion Model. URL: https://arxiv.org/html/2502.04669v1
Zain ul, A..(2023). How OpenAI’s DALL-E works? URL. https://medium.com/@zaiinn440/how-openais-dall-e-works-da24ac6c12fa
Bratko, I. (1990). PROLOG Programming for Artificial Intelligence (2nd ed.). USA: Addison-Wesley Longman Publishing Co., Inc.
Shahu, A.(2024). Mastering the Art of Functional JavaScript: Immutability, Pure Functions, and Beyond, URL: https://blogs.perficient.com/2024/03/04/mastering-the-art-of-functional-javascript-immutability-pure-functions-and-beyond/
www1 - radubm1/TicTacToe at ReactTicTac
www2 - jaunerc/minimax-prolog: minimax in SWI Prolog for Tic Tac Toe
www3 - reactide/reactide: Reactide is the first dedicated IDE for React web application development.
www4 - reactide/example at master · reactide/reactide
Downloads
Published
Issue
Section
License
Copyright (c) 2025 EIRP Proceedings

This work is licensed under a Creative Commons Attribution 4.0 International License.
You are free to:
- Share — copy and redistribute the material in any medium or format
- Adapt — remix, transform, and build upon the material
- for any purpose, even commercially.
- The licensor cannot revoke these freedoms as long as you follow the license terms.
Under the following terms:
-
Attribution — You must give appropriate credit, provide a link to the license, and indicate if changes were made. You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use.
- No additional restrictions — You may not apply legal terms or technological measures that legally restrict others from doing anything the license permits.