Approaches to risks and threats recognition in human-machine interaction in the military-industrial complex enterprises based on the semantic model results of the survey of risks and threats recognition in human-machine interaction

Elena A. Yakovleva, Vladimir V. Platonov, Ermin E. Sharich, Aleksandr E. Karlik, Daria D. Iakovleva

Результат исследований: Публикации в книгах, отчётах, сборниках, трудах конференцийстатья в сборнике материалов конференциирецензирование

1 Цитирования (Scopus)

Аннотация

The article considers the communication strategies developing for industrial enterprises of the military-industrial complex under digitalization. The research objective is to develop an approach to account for regularities of human-machine interaction in the strategic procedure in a complex system including the polycentricism, dynamism and consistent development, multifunctionality as well as the hierarchical orderliness. It is based on the system theory and applies methods of system analysis, logical-linguistic analysis and modeling, methodology of adaptive management theory and semiotic approach to risk control. The results of the study are the model of communications in the military-industrial complex, the matrix of systemized risks and threats of communication disruption under human-machine interaction. These results contribute to the practical task of meeting the important requirements for maintaining the competitiveness of enterprises in the information society including maintaining the efficiency of intellectual capital, synergy of interactions, promoting the integration of communication strategies into the organizational system of the enterprise of defense industry. The semantic modeling of the multi-agent system of communications in the military-industrial complex industry on the basis of early recognition of threats of communication disruption in the control system is applied to analyze the organizational tangible and intangible resources. Such approach is designed to recognize the communication disruption and anticipate risks and threats to communication strategies in the digital age. Finally, the results of the study contribute to the anticipation of problematic situations in human-machine interaction, as a result, many communication disorders can be avoided and the efficiency of the application of artificial intelligence and machine learning to control tangible and intangible factors of both the enterprises and the defense industry as a system will be improved.

Язык оригиналаанглийский
Название основной публикацииProceedings - CSIS 2019
Подзаголовок основной публикации11th International Scientific and Theoretical Conference "Communicative strategies of Information Society"
РедакторыAlfred Nordmann, Laurent Moccozet, Violetta Volkova, Olga Shipunova
ИздательAssociation for Computing Machinery
ISBN (электронное издание)9781450376709
DOI
СостояниеОпубликовано - 25 сен 2020
Событие11th International Scientific and Theoretical Conference "Communicative strategies of Information Society", CSIS 2019 - Saint-Petersburg, Российская Федерация
Продолжительность: 25 окт 201926 окт 2019

Серия публикаций

НазваниеACM International Conference Proceeding Series

конференция

конференция11th International Scientific and Theoretical Conference "Communicative strategies of Information Society", CSIS 2019
Страна/TерриторияРоссийская Федерация
ГородSaint-Petersburg
Период25/10/1926/10/19

Предметные области Scopus

  • Программный продукт
  • Человеко-машинное взаимодействие
  • Компьютерное зрение и распознавание образов
  • Компьютерные сети и коммуникации

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