  The paper develops a method for detecting optical binary stars based on the
use of astrometric catalogs in combination with machine learning (ML) methods.
A computational experiment was carried out on the example of the HIPPARCOS
mission catalog and the Pan-STARRS (PS1) catalog by applying the suggested
method. It has shown that the reliability of predicting a stellar binarity
reaches 90-95%. We note the prospects and effectiveness of creating a
proprietary research platform - Cognotron.
