• Marina Cherkasskaya Plekhanov Russian University of Economics
  • Alexey Artamonov Plekhanov Russian University of Economics
  • Andrey Cherkasskiy National Research Nuclear University MEPhI (Moscow Engineering Physics Institute)
Keywords: multi-agent systems, decision support systems, distributed artificial intelligence, Data Mining, decision trees, neural network, genetic algorithm, expert systems


This article presents data on the properties and features of agents’ behavior, ways of their communication and multi-agent systems based on them. Criteria for building decision support systems using modern tools, basic stages of designing and maintaining information repositories, technologies of operational and mining data analysis, as well as genetic algorithms and knowledge models in expert systems are considered. A set of tools is described that provide adequate reality forecasts that help to obtain the necessary information for making decisions in the conditions of market competition.


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How to Cite
Cherkasskaya, M., Artamonov, A., & Cherkasskiy, A. (2020). REVIEW OF METHODS FOR BUILDING AGENT SYSTEMS AND DECISION SUPPORT SYSTEMS. COMPUSOFT: An International Journal of Advanced Computer Technology, 9(10), 3892-3899. Retrieved from