ARTIFICIAL INTELLIGENCE SYSTEMS: PRINCIPLES, METHODS, AND APPLICATIONS
Abstract
Artificial Intelligence (AI) has become one of the most influential fields in contemporary science and technology, enabling machines to perform tasks that traditionally require human intelligence. Based on principles derived from computer science, mathematics, cognitive science, and engineering, AI systems are capable of learning, reasoning, perception, and decision-making. This article reviews the theoretical foundations of artificial intelligence, its core methodologies, and its practical applications, as presented in classical and modern AI textbooks. Particular attention is given to machine learning, neural networks, and the role of AI systems in solving complex real-world problems.
Keywords
Artificial intelligence; machine learning; neural networks; expert systems; deep learning; intelligent systems.
References
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