Computer sciences and synthesis: retrospective and perspective

TL;DR

This paper reviews the synthesis problem in computer sciences, discusses main methods, and explores the potential of polymetric analysis as a universal approach for advancing the field.

Contribution

It introduces polymetric analysis as a promising universal method for solving core problems in computer sciences.

Findings

Polymetric analysis is proposed as a universal synthesis method.

The paper discusses the potential of polymetric analysis for future research.

It provides a retrospective overview of synthesis methods in computer sciences.

Abstract

The problem of synthesis in computer sciences, including cybernetics, artificial intelligence and system analysis, is analyzed. Main methods of realization this problem are discussed. Ways of search universal method of creation universal synthetic science are represented. As example of such universal method polymetric analysis is given. Perspective of further development of this research, including application polymetric method for the resolution main problems of computer sciences, is analyzed too.