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Imitation of Human Behavior in 3D-Shooter Game
Ch. 9. P. 64–77.
There are many algorithms for 3D-shooter game artificial intelligence that are based on automatic target recognition with the help of ray casting, scriptbased event systems and many others. In such models game agents have an advantage over human player because computers do not need time for enemy recognition and target aiming processes. The main goal of our research is to imitate a realistic enemy player under PC control, which acts similar to a human reaction. We consider such aspects of shooter in-game processes as visual recognition of players, the delay for the response on each game event and distributed strategies of decision making. The paper presents method of visual recognition of player's 3D-model with the use of geometry knowledge of the three-dimensional maze and target sighting with respect to human motor reflexes. The implementation is made in Unreal Engine 4, which provides large variety of methods for programming game agents.
In book
Issue 1452. , Aachen: CEUR Workshop Proceedings, 2015.
Seul: PMLR, 2026.
Added: June 4, 2026
Chertopolokhov V., Mukhamedov A., Bugriy G. et al., IEEE Access 2026 Vol. 14 P. 14369–14392
This study presents on-the-fly identification and multi-step prediction of nonlinear systems with delayed inputs using a dynamic neural network combined with a smooth projection onto ellipsoids. The projection enforces parameter constraints that guarantee stability, while a Lyapunov–Krasovskii analysis yields computable ultimate error bounds. Riccati-type matrix inequalities are derived, providing an efficient vectorization–projection–devectorization implementation suitable for ...
Added: May 22, 2026
Ролинский С. О., Dvoynikova A., В кн.: Альманах научных работ молодых ученых Университета ИТМОТ. 2.: Университет ИТМО, 2022. С. 336–340.
В работе рассмотрены основные существующие подходы к автоматическому распознаванию речи, а также проводится сравнительный анализ открытых компьютерных систем распознавания речи. Для экспериментальных исследований эффективности работы рассматриваемых систем используется речевой корпус LibriSpeech. ...
Added: April 24, 2026
Dvoynikova A., Садикова А. А., В кн.: Сборник трудов X Конгресса молодых ученыхТ. 1.: Университет ИТМО, 2021.
В работе рассматривается применение различных планировщиков обучения (англ. scheduler) нейронных сетей для задачи текстонезависимой верификации дикторов. Для экспериментальных исследований использовалась база данных VoxCeleb1, которая содержит в себе различные речевые высказывания 1211 дикторов. В работе проводился анализ влияния различных планировщиков обучения нейронных сетей, представленных в библиотеке PyTorch языка программирования Python, а также 2 алгоритма планировщика, представленных ...
Added: April 24, 2026
Efremov A., Portnoy S., Волошин А. Д., Первая миля 2025 № 8 С. 20–28
Выполнен комплексный обзор методов машинного обучения (ML), применяемых для повышения устойчивости сигнала к помехам в каналах связи. Бурное развитие поколений беспроводной связи, активная разработка концепции 6G предъявляют высокие требования к задержке, скорости и надежности передачи данных. Традиционные подходы к защите от помех, основанные на строгих аналитических моделях, зачастую не справляются с хаотичной природой плотных гетерогенных ...
Added: April 4, 2026
Пермь: Пермский государственный национальный исследовательский университет, 2024.
This collection presents the proceedings of the Ninth All-Russian Scientific and Practical Conference with International Participation, "Artificial Intelligence in Solving Current Social and Economic Problems of the 21st Century," which was held October 17–18, 2024, in Perm. The collection is intended for researchers and educators, lecturers, postgraduate and master's students, undergraduates, and anyone interested in ...
Added: November 19, 2025
Penskaja E., Имагология и компаративистика 2025 № 23 С. 380–389
The book Artificial Intelligence, Archives and Manuscripts. New Relationships between the Virtual Archive and Its Referent (2025) is presented. This collective monograph discusses both technological and legal, intellectual issues that researchers and archivists face in automated work with manuscript heritage, artificial intelligence and neural networks. ...
Added: October 30, 2025
Surkov A., Sergei Koltcov, Ignatenko V. et al., Physica A: Statistical Mechanics and its Applications 2025 Vol. 681 Article 131085
Neural networks are powerful tools capable of achieving state-of-the-art performance across a wide range of tasks; however, their effectiveness often comes at the cost of extremely large numbers of parameters, which can hinder their deployment in resource-constrained environments. To address this issue, various pruning techniques have been proposed to reduce model size and complexity while ...
Added: October 30, 2025
Рожин А. К., Бабинцев Л. В., Nefedov S. et al., Наноиндустрия 2024 Т. 17 № S10-2(128) С. 752–755
Распространение систем искусственного интеллекта ведет к повышенному спросу на вычислительные ресурсы, импорт которых стал затруднен. В статье приводится результат исследования отечественной элементной базы, разработан аппаратно-программный комплекс на ее основе. Протестирована скорость вывода и эффективность адаптированных современных нейросетевых алгоритмов. ...
Added: June 20, 2025
Boltunova E., Laptev A., Имагология и компаративистика 2025 № 23 С. 358–379
Added: June 16, 2025
A. N. Varnavsky, Automation and Remote Control 2025 Vol. 86 No. 5 P. 417–431
Programming is one of the most important skills of the 21st century. However, for many students, learning programming is a rather complex process. In such cases, it is important to maintain the interest and involvement of students in the learning process. It is believed that digital games can solve this problem. One of the types ...
Added: June 9, 2025
Алкзир Н., Yarykina n., Nikolaev D. et al., Neuroscience and Behavioral Physiology 2024
Added: April 28, 2025
Ullah T., Siraj A. H., Umer Mukhtar Andrabi et al., , in: 2022 VIII International Conference on Information Technology and Nanotechnology (ITNT).: IEEE, 2022. P. 1–7.
Added: March 20, 2025
Pshichenko D., Тенденции развития науки и образования 2024 № 112(3) С. 117–122
The article examines the role of artificial intelligence (AI) in managing crisis situations in the economy. Various AI technologies for forecasting economic shocks and minimizing their consequences are analyzed. Examples of successful AI applications in various sectors are studied. It is emphasized that the use of AI significantly enhances the resilience and adaptability of economic ...
Added: March 10, 2025
Курск: Курский государственный университет, 2024.
The collection publishes scientific articles based on the materials of the V International Scientific and Technical Conference "Intelligent Information Systems: Theory and Practice". The publication is addressed to students, postgraduates, university professors, candidates and doctors of science, practicing specialists, and anyone interested in the design and development of intelligent information systems, their practical applications, as ...
Added: February 17, 2025
Hlib Nekrasov, Aleksandr Belov, , in: International IoT, Electronics and Mechatronics Conference, Volume 2. Proceedings of IEMTRONICS 2024. LNEE, volume 1228Vol. 1228.: Springer Publishing Company, 2025. P. 379–395.
Added: January 26, 2025
Derkach D., Hushchyn M., Samorodova E. et al., Astronomical Society of the Pacific: Conference Series 2024 Vol. 535
In this study, we apply shallow neural networks, bayesian neural networks, and normalizing flows to approximate light curves of astronomical objects. The study shows that the approximation quality of the proposed methods outperform the existing ap- proaches based on Gaussian processes. We assess the quality of solution using two physics-motivated analyses: supernovae type Ia classification ...
Added: January 8, 2025