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Information × Registration Number 0226U003302, (0124U000660) , R & D reports Title Methods and means of artificial intelligence for preventing the spread of tuberculosis in military time popup.stage_title Проведення симуляцій на міĸро та маĸро рівнях. Head Vyklyuk Yaroslav I., Доктор технічних наук Registration Date 26-03-2026 Organization Lviv Polytechnic National University popup.description1 The project aims to develop simulator programs based on multi-agent systems and neural networks to create a geospatial model of tuberculosis transmission and predict its spread. Additionally, it involves the development of methods to prevent the epidemic in the European region of the WHO. popup.description2 Were achieved software simulators based on multi-agent systems were developed for modelling the transmission of tuberculosis infection. Simulation results of tuberculosis spread were obtained with visualization on a geographic map at different scales. Specifically, a mechanism for spatio-temporal visualization of modelling results using geoinformation data was implemented. Variants of tuberculosis prevention strategies were proposed and modelled. In particular, a set of alternative tuberculosis prevention and control strategies was developed, including mass screening, vaccination, isolation of infected individuals, increased treatment coverage, and combined approaches. A reinforcement learning neural network was developed for the automatic selection of an optimal tuberculosis prevention strategy. Specifically, a reinforcement learning model was implemented in which a control agent interacts with a multi-agent simulation environment. The novelty of the approach proposed in this study lies in its comprehensive nature and its focus on solving this class of problems. The key advantage of the obtained results is the integrated combination of multi-agent modelling, geographic visualization, and reinforcement learning within a single simulation and analytical system adapted to real regional data. This ensures the practical value and international competitiveness of the results. Product Description popup.authors Nataliya Boyko Olena Vovk Nataliya Melnykova Denis Nevinsky Oleksii Shamuratov Dmytro Martianov popup.nrat_date 2026-03-26 Close