Adaptive Technology of Psychological Diagnostics Based on the Markovian and Quantum Representations of the Task Performing Process

A method for constructing adaptive diagnostic assessments using identifiable probabilistic Markovian models is presented, which provides individual test trajectories of subjects by reasonably choosing the optimal sequence of presenting tasks. The features of the applied adaptive approach are: identification and use in the construction of calculated estimates of the time dynamics of changes in the ability to cope with tasks; the possibility of taking into account the time spent on completing tasks; the number of tasks that should be submitted is smaller in comparison with other approaches, which provides the presented approach with advantages over analogues. A new approach to solving diagnostic problems by convolving applied Markovian models into quantum representations is considered, which makes it possible to identify the structure of the task execution process using quantum spectral analysis and use only essential information when forming a diagnostic solution, increasing the reliability of the results.

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