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DEVELOPMENT OF THE ENTERPRISE MULTI-AGENT SIMULATION MODEL FOR THE PRODUCTION OF PLASTIC WINDOWS IN ORDER TO DEVELOP THE MARKETING STRATEGY
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K. A. Aksyonov;P. E. Ziomkovskaia;O. P. Aksyonova;E. K. Aksyonova
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1314-2704
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English
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19
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2.1
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The article describes the solution of the problem of determining the pricing strategy of the enterprise, that operates at the window construction market with using an approach to a modeling multi-agent resource conversion processes. This approach is built on the basis of integration of simulation, expert, multi-agent and situational modeling methods. Agent-oriented simulation reveals and explains the mechanism of the emergence of a complex multi-agent system optimal behavior that consists of set of interacting active elements described as some intelligent agents. Active elements (in marketing situations) - market participants vary their properties and behavior depending on the state of other elements and the environment. The model of multi-agent resource conversion processes is programmatically implemented in the simulation system BPsim.MAS software package with a model of multi-agent resource conversion processes (MARCP) as a basis for multi-agent simulation. Series of experiments were conducted aimed at finding an effective pricing strategy and taking into account various combinations of the behavior of competing agents (activity / passivity).
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conference
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19th International Multidisciplinary Scientific GeoConference SGEM 2019
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19th International Multidisciplinary Scientific GeoConference SGEM 2019, 30 June - 6 July, 2019
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Proceedings Paper
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STEF92 Technology
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International Multidisciplinary Scientific GeoConference-SGEM
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Bulgarian Acad Sci; Acad Sci Czech Republ; Latvian Acad Sci; Polish Acad Sci; Russian Acad Sci; Serbian Acad Sci & Arts; Slovak Acad Sci; Natl Acad Sci Ukraine; Natl Acad Sci Armenia; Sci Council Japan; World Acad Sci; European Acad Sci, Arts & Letters; Ac
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241-248
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30 June - 6 July, 2019
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website
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cdrom
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5354
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multi-agent model; plastic windows; BPsim; pricing strategies; share market.
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