Automated system-cognitive analysis and the Eidos system as a method and toolkit for solving problems in various subject areas

In this paper, for the intelligent analysis of textual, numerical and graphical empirical data in various subject areas, a method of Automated system-cognitive analysis and its software tools — the intelligent Eidos system is proposed. A brief description of this method and tools is provided, which practically automate empirical cognition by many orders of magnitude increasing the possibilities of natural intelligence and are developed in a universal formulation, independent of the subject area and the specific task being solved. The specificity of this method is that independent and dependent variables can be formalized both in textual scales (logical, nominal (categorical linguistic variables) and ordinal) and in numerical scales in various units of measurement. At the same time, the method and tools ensure comparability of processing data of different types presented in different types of scales and in different units of measurement by metrizing text scales, i.e., increasing their degree of formalization to the level of numerical scales. This is achieved by calculating the amount of information or other quantitative measures of knowledge contained in the gradations of descriptive scales about the transition of the modeling object to the states described by the gradations of classification scales. The paper sets numerous tasks that can not only be solved using this method and tools, but are also stages of achieving the goal through Automated system-cognitive analysis of the modeling object. Task-1: cognitive structuring of the subject area, static and dynamic interpretation of classification and descriptive scales and gradations; Task-2: formalization of the subject area; Task-3: synthesis of statistical and system-cognitive models, multiparametric typing and particular criteria of knowledge; Task-4: verification of models; Task-5: selection of the most reliable model; Task-6: system identification and forecasting, integral criteria of knowledge; Task-7: decision support in simplified and developed versions; Task-8: the study of a modeling object by examining its model includes more than 10 subtasks.