TY - GEN

T1 - 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

AU - Yakovleva, Elena A.

AU - Platonov, Vladimir V.

AU - Sharich, Ermin E.

AU - Karlik, Aleksandr E.

AU - Iakovleva, Daria D.

N1 - Publisher Copyright: © 2019 Association for Computing Machinery.

PY - 2020/9/25

Y1 - 2020/9/25

N2 - 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.

AB - 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.

KW - Communication strategies

KW - Human-machine interaction

KW - Intellectual capital

KW - Military-industrial complex

KW - Multi-agent systems

KW - Semantic modeling

UR - http://www.scopus.com/inward/record.url?scp=85123039975&partnerID=8YFLogxK

U2 - 10.1145/3373722.3373773

DO - 10.1145/3373722.3373773

M3 - Conference contribution

AN - SCOPUS:85123039975

T3 - ACM International Conference Proceeding Series

BT - Proceedings - CSIS 2019

A2 - Nordmann, Alfred

A2 - Moccozet, Laurent

A2 - Volkova, Violetta

A2 - Shipunova, Olga

PB - Association for Computing Machinery

T2 - 11th International Scientific and Theoretical Conference "Communicative strategies of Information Society", CSIS 2019

Y2 - 25 October 2019 through 26 October 2019

ER -