ARTIFICIAL INTELLIGENCE SYSTEMS: PRINCIPLES, METHODS, AND APPLICATIONS

Authors

  • Zaripov Xojibek Zoxidbek ugli, Isoqov Qodirbek Ma'rufjon ugli, Shodmanov Asadbek Latifjonovich, Karimov Dilshodbek Jalolliddin ugli, Orifov Shodiyor Umidjon ugli,Safarov Ulug’bek Qarshiboyevich Students of Tashkent State Medical University,Assistant, Department of Biomedical Engineering, Informatics and Biophysics Tashkent State Medical University

Keywords:

Artificial intelligence; machine learning; neural networks; expert systems; deep learning; intelligent systems.

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.

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References

Russell, S., Norvig, P. Artificial Intelligence: A Modern Approach.

Goodfellow, I., Bengio, Y., Courville, A. Deep Learning.

Mitchell, T. Machine Learning.

Nilsson, N. Principles of Artificial Intelligence.

Poole, D., Mackworth, A. Artificial Intelligence: Foundations of Computational Agents.

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Published

2025-12-17

How to Cite

Zaripov Xojibek Zoxidbek ugli, Isoqov Qodirbek Ma'rufjon ugli, Shodmanov Asadbek Latifjonovich, Karimov Dilshodbek Jalolliddin ugli, Orifov Shodiyor Umidjon ugli,Safarov Ulug’bek Qarshiboyevich. (2025). ARTIFICIAL INTELLIGENCE SYSTEMS: PRINCIPLES, METHODS, AND APPLICATIONS. International Multidisciplinary Journal for Research & Development, 12(12), 663–666. Retrieved from https://www.ijmrd.in/index.php/imjrd/article/view/4370

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