USING NEURAL NETWORKS TO ANALYZE THE CREATIVE PROCESS
Keywords:
neural networks, artificial intelligence, creativity, data analysis, machine learning, cognitive science.Abstract
The development of artificial intelligence creates a new ground for the study of complex cognitive processes such as creativity. As one of the most promising AI technologies, neural networks provide unique opportunities for analysis and modeling of the creative process. The purpose of this study is to explore the potential of neural networks to analyze the creative process, as well as to determine their role in understanding and developing human creative abilities.
Downloads
References
Markus, G., Xenshou, T. (2019). Tirik mashinalar: ong va hissiyotlar qanday paydo bo'ladi va nima uchun bu muhim. - M.: Alpina Publisher.
Xasselblatt, I. (2019). Sun'iy intellekt. Darslik. - M.: DMK Press.
Shank, D. (2018). Raqamli davr: sun'iy intellekt tarixi va kelajagi. M.: Mann, Ivanov va Ferber.
Goodfellow, I., Pouget-Abadie, J., Mirza, M., Xu, B., Warde-Farley, D., Ozair, S., ... & Bengio, Y. (2014). Generative adversarial nets. Advances in neural information processing systems, 27.
Radford, A., Metz, L., & Chintala, S. (2015). Unsupervised representation learning with deep convolutional generative adversarial networks. arXiv preprint arXiv:1511.06434.
Arjovsky, M., Chintala, S., & Bottou, L. (2017). Wasserstein generative adversarial networks. International conference on machine learning, pp. 214-223.
Berikbaev, Alisher. "TEACHING PROFESSION AND SKILLS WAYS TO BE A TEACHER." Archive of Conferences. Vol. 23. No. 1. 2021.
Xаmidov, Dilshod. "THE IMPORTANCE OF TEACHING" ENGINEERING ENGINEERING COMPUTER GRAPHICS" IN HIGHER EDUCATION INSTITUTIONS." International journal of scientific researchers (IJSR) INDEXING 4.2 (2024): 320-323.
Ch, Sadatov, and D. O. Xamidov. "AUTOCAD DASTURINING UCH O ‘LCHAMLI LOYIHALASH IMKONIYATLARI." MODELING" PANELI BUYRUQLARI." VISUAL STYLES"," VIEW" PANELI BUYRUQLARI VA ULARNING IMKONIYATLARI." Экономика и социум 5-2 (108) (2023): 325-329.
