Review of methods for building agent systems and decision support systems

Authors

  • Cherkasskaya MV Plekhanov Russian University of Economics, Stremyanny Lane, 36, Moscow, 117997, Russia
  • Artamonov AA Plekhanov Russian University of Economics, Stremyanny Lane, 36, Moscow, 117997, Russian Federation
  • Cherkasskiy AI National Research Nuclear University MEPhI (Moscow Engineering Physics Institute), Kashirskoe Highway, 31, Moscow, 115409, Russia

Keywords:

multi-agent systems, decision support systems, distributed artificial intelligence, Data Mining, decision trees, neural network, genetic algorithm, expert systems

Abstract

This article presents data on the properties and features of agents’ behavior, ways of their communication and multiagent 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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Published

2024-02-26

How to Cite

Cherkasskaya, M. V., Artamonov, A. A., & Cherkasskiy, A. I. (2024). 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 https://ijact.in/index.php/j/article/view/596

Issue

Vol. 9 No. 10 (2020): October

Section

Review Article

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Copyright (c) 2020 COMPUSOFT: An International Journal of Advanced Computer Technology

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©2023. COMPUSOFT: AN INTERNATIONAL OF ADVANCED COMPUTER TECHNOLOGY by COMPUSOFT PUBLICATION is licensed under a Creative Commons Attribution 4.0 International License. Based on a work at COMPUSOFT: AN INTERNATIONAL OF ADVANCED COMPUTER TECHNOLOGY. Permissions beyond the scope of this license may be available at Creative Commons Attribution 4.0 International Public License.