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Home Archive of journals Issue 4(28) 2017 Development conceptual foundations of intelligent information-management system for regional security support of Murmansk region

DEVELOPMENT CONCEPTUAL FOUNDATIONS OF INTELLIGENT INFORMATION-MANAGEMENT SYSTEM FOR REGIONAL SECURITY SUPPORT OF MURMANSK REGION

JOURNAL: 2017, 4(28), p. 118-134

RUBRIC: State administration in the Arctic

AUTHORS: Masloboev A.V.

ORGANIZATIONS: Institute for Informatics and Mathematical Modeling Subdivision of the Federal Research Centre Kola Science Centre of the Russian Academy of Sciences

DOI: 10.25283/2223-4594-2017-4-118-134

UDC: 001.891.57:519.711

The article was received on: 22.05.2017

Keywords: intelligent system, information support, modeling (simulation), agent-based approach, regional security, management

Bibliographic description: Masloboev A.V. Development conceptual foundations of intelligent information-management system for regional security support of Murmansk region. Arctic: ecology and economy, 2017, no. 4(28), pp. 118-134. DOI: 10.25283/2223-4594-2017-4-118-134. (In Russian).


ANNOTATION:

The article considers development problems of managerial decision support tools within the bounds of crisis situations in socio-economic area for information and analytical support of regional situational centre functioning in the Arctic region of Russian Federation. An intelligent information-management system framework for regional security support of Murmansk region has been developed. System design problem statement, system architecture and operation algorithm, information source structure have been represented. Methodological and modeling toolkit for system kernel functionality implementation has been proposed. Technologically, the system has multi-agent implementation and use software agents for information monitoring, acquisition and processing on heterogeneous factors impact on regional components and subsystems condition. The system toolkit allows simulation scenario spectrum extension of the regional crisis situations. That provides enhancement of information probability and validity of managerial decision-making. Capabilities for simulation environment operational adjustment by the management problem specific characteristics and computing experiment high variability implementation within the system have been provided. System application allows behavior dynamics of security actors analysis within the bounds of different situations and provides joint activity coordination on the step of operating control and strategic planning of crisis management arrangements in the socio-economic area.


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DOI 10.25283/2223-4594