ТЕОРЕТИЧНИ ОСНОВИ НА АЛГОРИТМИТЕ ЗА ИЗКУСТВЕН ИНТЕЛЕКТ
THEORETICAL FOUNDATIONS OF ARTIFICIAL INTELLIGENCE

Author(s): Nikolay Nikolov
Subject(s): Economy, Business Economy / Management, ICT Information and Communications Technologies
Published by: Икономически университет - Варна
Keywords: artificial intelligence; algorithms; machine learning; neural networks
Summary/Abstract: This paper explores the theoretical principles underlying artificial intelligence (AI) algorithms. The focus is on the mathematical and algorithmic models that enable machines to acquire, represent, and utilize knowledge. Concepts from linear algebra, probability theory, and statistics, which are critical for under-standing machine learning and deep neural networks, are examined. Various learning methods, including supervised, unsupervised, and reinforcement learning, are analyzed. The paper also discusses the role of algorithmic complexity and computational efficiency in the development of scalable AI systems. In conclusion, future directions and research questions related to the theoretical aspects of artificial intelligence are presented.

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