The book “Fundamentals of decision theory for programmers” by Nikolai Alexandrovich Solovyov is a unique work that will become a desktop manual for everyone who seeks to deepen their knowledge in the field of decision-making in conditions of uncertainty. This book is aimed at programmers, developers and everyone who works with data and algorithms, and offers readers not only a theoretical base, but also practical tools for application in real projects. Solovyov, known for his work in computer science and game theory, offers readers a fascinating journey into the world of decision-making. He starts with the basics, explaining key concepts and techniques that will help programmers better understand how to make informed decisions in complex situations. The book covers topics such as risk analysis, alternative assessment, statistical methods and modelling, making it an indispensable resource for those who want to improve their skills and improve the quality of decision-making. The book will be especially interesting for students and graduate students of technical specialties, as well as practicing programmers who want to expand their horizons and master new approaches to solving problems. It is suitable for both those who are just starting their way in programming, and experienced developers seeking to improve their skills. If you are interested in topics such as artificial intelligence, machine learning or process optimization, then this work will be a real find for you. Solovyov not only shares theoretical foundations, but also offers many practical examples and tasks that will help readers consolidate the knowledge they have gained. He masterfully combines theory with practice, which makes the material accessible and understandable. In the book you will find not only algorithms and methods, but also real cases that will help you see how the theory is applied in life. This makes it especially valuable for programmers who want not only to learn, but also to apply the knowledge gained in their projects. The topics raised in the book cover a wide range of decision-making issues. Solovyov explores how the human factor influences choice, how to avoid common mistakes, and how to use mathematical models to improve outcomes. These aspects make the book relevant not only for programmers, but also for managers, analysts and all those who make decisions in conditions of uncertainty. The author’s style is distinguished by clarity and logical presentation . Solovyov is able to explain complex concepts easily and easily, which makes his books especially attractive to a wide audience. His other well-known works, such as "Algorithms and Data Structures" and "