RESEARCH ON SOFTWARE AND ALGORITHMS FOR SIMULATING HUMAN BEHAVIOR IN VIRTUAL REALITY

This research focuses on the study of software tools and algorithms used to simulate human behavior in virtual reality environments. Accurate modeling of human actions, decision-making processes, and emotional responses plays a crucial role in creating realistic and immersive virtual experiences. The paper analyzes various approaches to human behavior simulation, including artificial intelligence techniques, machine learning methods, agent-based models, and motion tracking algorithms. In addition, the capabilities, advantages, and limitations of existing simulation software are examined. The results of this study contribute to the development of effective and realistic virtual reality systems for applications in education, training, healthcare, psychology, and the gaming industry.