Theoretical Foundations and Modern Approaches to Intelligent Technologies

Intelligent technologies constitute a multidisciplinary field that integrates artificial intelligence, machine learning, knowledge representation, computational logic, and data-driven modelling. This article examines the conceptual, theoretical, and methodological foundations of intelligent technologies, including formal and fuzzy logic, expert systems, machine learning, artificial neural networks, deep learning, natural language processing, and intelligent agents. Particular attention is given to data quality, model evaluation, generalization, transparency, security, ethical responsibility, and risk management. The analysis demonstrates that the effective development and application of intelligent systems requires an integrated methodology covering problem formulation, data preparation, model selection, training, validation, testing, deployment, and continuous monitoring.