Functional and modular organization of intellectual solvers based on the conceptual task model

M.I. Koshkarev; V.V. Nechaev

Functional and modular organization of intellectual solvers based on the conceptual task model

research article Pages: 27-36

¹ Post-graduate Student, Moscow Technological University (MIREA)
² Ph.D. (Eng.), Dr.Sc. (Phys.-Math.), Head of Laboratory, Moscow Technological University (MIREA)

Keywords: functional and modular organization operation mode intellectual problem solver basic functional component conceptual task model

Abstract

Article «Functional and modular organization of intellectual problem solvers based on conceptual task model» regards intellectual prob-lem solvers (IPS) for intellectual support system for perspective bionic technologies` research and development. Introduction describes the problem of intellectual problem solver application as basic components of artificial intelligence. This problem stems from a lack of formal requirements for solver-s architecture and operation algorithm. The proposed solution is based on conceptual model of the task which includes creating formal definition for solver-s modes of operation, defining a set of its submodules. In the main part of the article, authors analyze the conceptual model for the task defining modes of IPS` operation. Data acquired is used for synthesizing its basic components and defining operation algorithm for IPS. Conclusion contains brief summary on the achieved results.

How to cite

Кошкарев М.И., Нечаев В.В. Функционально-модульная организация интеллектуальных решателей, основанных на концептуальной модели задач // Электромагнитные волны и электронные системы. 2016. № 10. С. 27–36.

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[1] Nechaev V.V. Konceptualnoe modelnoe predstavlenie zadachi kak sistemy // Informacionnye tekhnologii. 2009. № 9(157). S. 26-32.

[2] Nechaev V.V. Raskrytie neopredelennosti sistemnojj zadachi, predstavlennojj konceptualnojj modelju // Informacionnye tekhnologii. 2012. № 12(157). S. 46-52.

[3] Nechaev V.V. Konfiguracionnoe modelirovanie. CHast I. Teoreticheskie aspekty: Ucheb. posobie. M.: Moskovskijj gosudarstvennyjj institut radiotekhniki, ehlektroniki i avtomatiki (tekhnicheskijj universitet). 2007. 92 s.

[4] Sigov A.S., Nechaev V.V., Koshkarev M.I. Arkhitektura predmetno-orientirovannojj bazy znanijj intellektualnojj sistemy // INJOIT. 2014. V. 2. № 12. S. 1-6.

[5] Nechaev V.V., Koshkarev M.I. Intellektualnye reshateli zadach: sravnitelnyjj analiz i arkhitekturnaja model // Informacionnye i telekommunikacionnye tekhnologii. 2014. № 21. S. 51-61.

[6] Sigov A., Nechaev V., Baranyuk V., Smirnova O., Melikhov A., Koshkarev M., Bogoradnikova A. Bionic-oriented information system for innovation activities // Indian Journal of Science and Technology. 2016. V. 9(30), URL: http://www.indjst.org/index. php/ indjst/article/view/98743

[7] Sigov A., Nechaev V., Baranyuk V., Koshkarev M., Melikhov A., Smirnova O., Bogoradnikova A. Architecture of domain-specific data warehouse for bionic information resources // Ecology, Environment and Conservation Paper. Nov. 2015. V. 21. Suppl. Issue. R. 181-186.

[8] Baranjuk V.V., Smirnova O.S., Bogoradnikova A.V. Opredelenie semanticheskogo soderzhanija predmetnojj oblasti na osnove formirovanija tezaurusa // International Journal of Open Information Technologies. 2016. T. 4. № 9. S. 74-79.

[9] Nechaev V.V., Baranjuk V.V., Smirnova O.S., Koshkarev M.I., Volodina A.M., Bogoradnikova A.V., Markelov K.S. Informacionnye resursy i tekhnologii: Ucheb. posobie. M.: Izd-vo FGBOU VO «MIREHA». 2015. 92 c.

[10] Baranjuk V.V., Smirnova O.S., Bogoradnikova A.V. Intellektualnaja sistema informacionnojj podderzhki razvitija perspektivnykh bionicheskikh tekhnologijj: osnovnye napravlenija rabot po sozdaniju // International Journal of Open Information Technologies. 2014. T. 2. № 12. S. 17-19.