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

Abstract

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.