- 29.03.2025
Adaptive Classification of Evolving Problems
In the modern world, automated systems face the challenging task of classifying questions because the formulations of the problem often remain incomplete and are prone to changes throughout the discussion. The initial stage of task formation may be far from the final vision, and already during the analysis our perspectives on the problem evolve several times. This fact demands flexibility from algorithms in perceiving and reinterpreting the primary information, which adds complexity in the context of automatic categorization. It is necessary to develop methodologies capable of taking into account the dynamic nature of problem definition by applying adaptive criteria and deep analysis of key features. The goal becomes the creation of systems that not only capture initial parameters but are also ready to respond to changing nuances, which is a critical aspect in modernizing information processing technologies.