Ігрові стратегії прийняття рішень в ієрархічних системах. ІІ. Комп’ютерне моделювання стохастичної гри

An algorithm for solving a stochastic game for decision making in hierarchical systems under uncertainty is developed. An analysis of the results of computer modeling of a stochastic game for autocratic, anarchic and democratic hierarchical decision making systems with the binary tree structure is p...

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Bibliographic Details
Date:2019
Main Author: Kravets, Petro A.
Format: Article
Language:Ukrainian
Published: The National Technical University of Ukraine "Igor Sikorsky Kyiv Polytechnic Institute" 2019
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Online Access:http://journal.iasa.kpi.ua/article/view/188564
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Journal Title:System research and information technologies

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System research and information technologies
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Summary:An algorithm for solving a stochastic game for decision making in hierarchical systems under uncertainty is developed. An analysis of the results of computer modeling of a stochastic game for autocratic, anarchic and democratic hierarchical decision making systems with the binary tree structure is performed. It has been established that autocratic-centric hierarchical systems have the smallest training time for achieving a close-to-consensus solution. The influence of parameters on the convergence of the game method in the process of finding a consensus or a majoritarian collective solution is studied.