The Evolution of the Theory and Practice of Artificial Intelligence
Stadnik A. V. 1,2 , Mykhaylyshyn U. B. 1
1 Uzhhorod National University, Ukraine
2 Kharkiv Regional Public Organization “Culture of Health”, Ukraine
The authors first review the historical milestones in the emergence and development of artificial intelligence (AI). They demonstrate that progress is rarely linear, and today’s successes do not guarantee solutions to future challenges. Further research shows that the theoretical foundation of AI is a multi-layered, interdisciplinary structure that includes biological, cognitive, philosophical, mathematical, and logical aspects, as well as machine learning, neural networks, and natural language processing. Modern artificial intelligence is the result of the interaction of these theoretical branches, each of which contributes to the effective operation of intelligent systems. The authors conclude that the evolution of AI from classical symbolic to machine learning represents a fundamental shift in the understanding and construction of artificial intelligence. However, a consideration of symbolic and statistical approaches shows that neither is ideal, often requiring hybrid solutions that combine multiple methods.
evolution of artificial intelligence, machine learning, symbolic artificial intelligence, neural networks, machine learning, intelligent systems.
APA
Stadnik, A. V., & Mykhaylyshyn, U. B. (2026). The evolution of the theory and practice of artificial intelligence. In Y. B. Melnyk & M. A. Segooa (Eds.), Artificial Intelligence in Digital Society, Vol. 1. (pp. 11–26). KRPOCH. https://doi.org/10.26697/aids.2026.1
Harvard
Stadnik, A. V., & Mykhaylyshyn, U. B. "The evolution of the theory and practice of artificial intelligence. In Y. B. Melnyk & M. A. Segooa (Eds.)". Artificial Intelligence in Digital Society, Vol. 1. [online] pp. 11-26. viewed 10 March 2026, https://culturehealth.org/hogokz_knigi/Arhiv_DOI/aids/aids.2026.1.pdf Vancouver
Stadnik A. V., & Mykhaylyshyn U. B. The evolution of the theory and practice of artificial intelligence. In Y. B. Melnyk & M. A. Segooa (Eds.). Artificial Intelligence in Digital Society, Vol. 1. [Internet]. [cited 10 March 2026]; 11-26. Available from: https://doi.org/10.26697/aids.2026.1 https://culturehealth.org/hogokz_knigi/Arhiv_DOI/aids/aids.2026.1.pdf
Stadnik Anatoliy Volodymyrovych – https://orcid.org/0000-0002-1472-4224; Doctor of Philosophy in Medicine, MD, Affiliated Associate Professor, Kharkiv Regional Public Organization “Culture of Health”, Kharkiv, Ukraine; Uzhhorod National University, Uzhhorod, Ukraine.
Mykhaylyshyn Ulyana Bohdanivna – https://orcid.org/0000-0002-0225-8115 Doctor of Psychological Sciences, Full Professor; Head of the Department of Psychology, Uzhhorod National University, Uzhhorod, Ukraine.