Methods of constructing a dialog mode for solving polyadic automated control tasks in a natural-like language in military sets of automation tools

The continuous improvement of a potential enemy’s means of attacking from air or space leads to a sharp reduction in the available time for their destruction and makes relevant the increase in the efficiency of troop automated control, which, in turn, imposes more requirements for the speed of control body combat crews. Known approaches to lessening the working time of control body combat crews are either ineffective or incur significant financial costs. The aim of the research is to diminish the working time of control body combat calculation by reducing the time for solving polyadic automated control tasks in military automation sets of tools. To achieve the purpose of the study, a modification of the method for generating operational information by the combat calculation of the control body is proposed by presenting the necessary data when solving automated control tasks as a production-frame model. We also employed a set of subject, language and graphic models as an information resource, which allows us to take into account the predicate structure of the control body combat calculation request and the conceptual as well as graphical representation of display objects when solving polyadic automated control tasks in a dialogue mode in a natural-like language. The experimental studies on the software and hardware complex, conducted before, showed that the average value of control body combat calculation working time fell by 19.3% for all categories of participants in the experiment. It is suggested to implement this solution in the form of a software module within the framework of a high-level programming language C/C++ using the Qt library, which will enable it to be integrated into special software for a set of automation tools.

1. Burmistrov S.K. Handbook of the officer of aerospace defense. Tver: VA East Kazakhstan Region; 2006. 564 p. (In Russ.)

2. Ashurbeyli I.R. The third sphere of armed struggle: the origin and formation. M.; 2016. 106 p. (In Russ.)

3. Borisko S.N., Goremykin S.A. Analysis of the state of the aerospace forces of Russia. Development prospects. Voyennaya mysl' = Military thought. 2019;1:25–37. (In Russ.)

4. Velikhov A.V. Fundamentals of computer science and computer technology: a textbook for universities. M: Bukpress; 2006. 544 p. (In Russ.)

5. Data K.J. Introduction to database systems. 8th edition. St. Petersburg: Williams; 2006. 1328 p. (In Russ.)

6. Popov E.V. Communication with a computer in a natural language. 3rd edition, stereotype. M.: LENAND; 2021. 360 p. (In Russ.)

7. Rybina G.V. Fundamentals of building intelligent systems: textbook. the manual. M.: Finance and statistics; 2014. 432 p. (In Russ.)

8. Morozov P.A., Zyuzin A.V., Krutalevich Yu.A., Anoshin R.I. A way to reduce the working time of a complex of automation tools based on the use of queries in a naturally similar language. Informatsionno-izmeritel'nyye i upravlyayushchiye sistemy = Information-measuring and control systems. 2020;3:5–15. (In Russ.)

9. Minsky M. Frames and representation of knowledge. M.: Energy; 1979. 150 p. (In Russ.)

10. Gavrilova T.A., Khoroshevsky V.F. Knowledge bases of intelligent systems. St. Petersburg: Peter; 2000. 384 p. (In Russ.)

11. Morozov P.A., Krutalevich Yu.A., Anoshin R.I. Terms and concepts of a natural-like language. Vozdushno-kosmicheskiy rubezh = The aerospace frontier. 2018;3(5):104–108. (In Russ.)

12. Hasanov E.E., Kudryavtsev V.B. Intelligent systems. Theory of information storage and retrieval. Moscow: Yurayt Publishing House; 2019. 271 p. (In Russ.)

13. Omelchenko T.V. Modeling of the process of accumulation of knowledge about the labor market on the basis of a frame representation. Vestnik Orenburgskogo gosudarstvennogo universiteta = Bulletin of Orenburg State University. 2010;13:266–272. (In Russ.)

14. Gordeev A.V., Molchanov A.Yu. System software. St. Petersburg: Peter; 2004. 736 p. (In Russ.)

15. Aho A., Ullman J. Theory of syntactic analysis, translation and compilation. In 2 volumes. Vol. 1: Syntactic analysis. Moscow: Mir; 1978; 612 p. (In Russ.)

16. Ginzburg S. Mathematical theory of context-free languages. Moscow: Mir: 1970. 326 p. (In Russ.)

17. Morozov P.A. Method of forming a graph model of the dialog mode for solving automated control tasks in a naturally similar language. Vozdushno-kosmicheskiye sily. Teoriya i praktika = Aerospace Forces. Theory and practice. 2021;18:147–157. (In Russ.)

18. Anoshin R.I., Morozov P.A., Krutalevich Yu.A. Svid. 2018610186 Russian Federation, Certificate of state registration of a computer program. The program of imitation of the automated workplace of the complex of automation tools "Foundation". (In Russ.)