Ontological model of the cybernetic organizational system architecture.
DOI:
https://doi.org/10.34121/1028-9763-2022-3-137-147Keywords:
cybernetic system, architectural model of organization, knowledge model, ontology, кібернетична система, архітектурна модель організації, модель знань, онтологіяAbstract
Targeted activity in all spheres of modern society is carried out within the framework of organizational systems of various types and for various purposes using situational management methods. Cybernetic organizational systems are represented as ordered sets of interacting components (artifacts, system components), united by the performance of a specified function based on information exchange. The ontological approach to the design of any class of complex systems makes it possible to carry out a clear and hierarchical decomposition of the design processes of any system of a given purpose into certain design actions, many of which can be performed concurrently and each of which – in the context of a local component system. The model of the subject area of knowledge is determined by the architectural model of the cybernetic organizational system and its context of interaction with the environment. The architecture of the cybernetic organizational system ensures the implementation of the process of situational management as a composition of motivations, knowledge, opportunities, resources, and limitations. The idea of a target cybernetic organizational system is presented in the form of a list of needs and models on the basis of the analysis of which requirements are formalized in accordance with needs. The construction of the architecture of the cybernetic organizational system is specified by the formalized system requirements from the knowledge base of the cybernetic organizational system and confirmed by the results of the analysis based on system models and test operational tasks. Relationships between artifacts form an architectural model of the system which combines activity regulations, activity structure, activity directions, technological standards, structures, and solutions. The proposed ontological model of knowledge of the architecture of the cybernetic organizational system combines technological, organizational and project concepts.References
Субботін С.О. Подання й обробка знань у системах штучного інтелекту та підтримки прийняття рішень. Запоріжжя: Запорізький національний технічний університет, 2008. 341 с.
Добров Б., Иванов В., Лукашевич Н., Соловьев В. Онтологии и тезаурусы: модели, инструменты, приложения. Москва: БИНОМ, 2008. 176 с.
Коваленко О. Онтологічна модель системи прийняття рішень методом голосування. Системи підтримки прийняття рішень. Теорія і практика: зб. доп. наук.-практ. конф. з міжнар. участю. Київ: Інститут проблем математичних машин і систем НАН України, 2009. С. 51–54.
Коваленко О. Онтологія та модель трансформації інформації в ситуаційних агентних системах. Електронне моделювання. 2020. Т. 42, № 5. С. 5–23.
Endsley М. Toward a Theory of Situation Awareness in Dynamic Systems. Human Factors and Ergonomics Society. 1995. Т. 37, N 1. Р. 32–64.
Wooldridge M. An Introduction to Multiagent Systems. 2nd ed. Chichester: John Wiley and Sons Ltd., 2009. 488 p.
Kovalenko O. Systems Convergence for Situational Control and Decision Making in Distributed Environments. 16th International Conference on Advanced Trends in Radioelectronics, Telecommunications and Computer Engineering – Proc. (TCSET-2022). Lviv-Slavske, Ukraine, IEEE, 2022. P. 344–347.
Zachman J. A Framework for Information Systems Architecture. IBM Systems Journal. 1987. T. 26, N 3. P. 276–292.
TOGAF. The TOGAF® Standard, Version 9.2. 2018. URL: https://www.opengroup.org/togaf (date of the access: 01.03.2022).
Federal Enterprise Architecture Framework Version 2. 2013. 29 January. URL: https://obamawhitehouse.archives.gov/sites/default/files/omb/assets/egov_docs/fea_v2.pdf (date of the access: 19.03.2022).
Consultation, Command and Control Board Architecture Capability Team (C3B Architecture CaT). NATO Architecture Framework Version 4. 2018. January. URL: https://www.nato.int/nato_static_fl2014/assets/pdf/pdf_2018_08/20180801_180801-ac322-d_2018_0002_naf_final.pdf (date of the access: 20.03.2022).
Kotusev S. Enterprise Architecture and Enterprise Architecture Artifacts: Questioning the Old Concept in Light of New Findings. Journal of Information Technology. 2019. Т. 34, N 2. P. 102–128.
Коваленко O. Системна інженерія та життєвий цикл систем. Електронне моделювання. 2018. Т. 40, № 6. С. 61–82.
Коваленко О.Є. Принципи інженерії ситуаційних систем. Математичні машини і системи. 2019. № 4. С. 65–78.
ISO/IEC/IEEE 15288:2015 Systems and software engineering – System life cycle processes. 2015. URL: http://www.iso.org/iso/home/store/catalogue_tc/catalogue_detail.htm?csnumber=63711 (date of the access: 20.03.2022).
Kripke S. Semantical Considerations on Modal Logic. Acta Philosophica Fennica. 1963. N 16. P. 83–94.
Коваленко О.Є. Застосування модальної логіки при прийнятті рішень на моделях знань. Математичне та комп'ютерне моделювання. Технічні науки: зб. наук. праць. 2012. № 6. С. 106–112.
PascalRoques. MBSE with the ARCADIA Method and the Capella Tool. 8th European Congress on Embedded Real Time Software and Systems (ERTS2016). Toulouse, France, 2016. URL: https://hal.archives-ouvertes.fr/hal-01258014 (date of the access: 20.03.2022).
Коваленко О.Є. Моделі і методи побудови конвергентних систем ситуаційного управління: дис. … д-ра техн. наук: 05.13.05. Київ: Інститут проблем моделювання в енергетиці ім. Г.Є. Пухова НАН України, 2021. 339 c.
Published
Issue
Section
License
Copyright (c) 2022 Mathematical Machines and Systems

This work is licensed under a Creative Commons Attribution 4.0 International License.
