title: ÐÐ»Ð³Ð¾ÑÐ¸ÑÐ¼ Ð³ÐµÐ½ÐµÑÐ°ÑÐ¸Ð¸ Ð°Ð»ÑÑÐµÑÐ½Ð°ÑÐ¸Ð² ÑÐ°Ð·Ð²Ð¸ÑÐ¸Ñ Ð¿Ð¾Ð²ÐµÐ´ÐµÐ½Ð¸Ñ Ð¼Ð½Ð¾Ð³Ð¾Ð°Ð³ÐµÐ½ÑÐ½Ð¾Ð¹ ÑÐ¸ÑÑÐµÐ¼Ñ Ð½Ð° Ð¾ÑÐ½Ð¾Ð²Ðµ Ð³ÑÐ°ÑÐ¾Ð²Ð¾Ð¹ Ð¼Ð¾Ð´ÐµÐ»Ð¸
title: Ð²ÑÐ¿ÑÑÐºÐ½Ð°Ñ ÐºÐ²Ð°Ð»Ð¸ÑÐ¸ÐºÐ°ÑÐ¸Ð¾Ð½Ð½Ð°Ñ ÑÐ°Ð±Ð¾ÑÐ° Ð¼Ð°Ð³Ð¸ÑÑÑÐ°
titleType: Subtitle
title: Algorithm for generating alternative behavior development of a multi-agent system based on a graph model
Creators: name: Ð¡Ð°Ð±ÑÑÐºÐµÐ²Ð¸Ñ, ÐÑÑÐµÐ¼
Publisher: name: Ð¡Ð°Ð½ÐºÑ-ÐÐµÑÐµÑÐ±ÑÑÐ³ÑÐºÐ¸Ð¹ Ð¿Ð¾Ð»Ð¸ÑÐµÑÐ½Ð¸ÑÐµÑÐºÐ¸Ð¹ ÑÐ½Ð¸Ð²ÐµÑÑÐ¸ÑÐµÑ ÐÐµÑÑÐ° ÐÐµÐ»Ð¸ÐºÐ¾Ð³Ð¾
Year: 2023
Subjects: Ð¸Ð¼Ð¸ÑÐ°ÑÐ¸Ð¾Ð½Ð½Ð¾Ðµ Ð¼Ð¾Ð´ÐµÐ»Ð¸ÑÐ¾Ð²Ð°Ð½Ð¸Ðµ
Ð°Ð³ÐµÐ½ÑÐ½Ð¾Ðµ Ð¼Ð¾Ð´ÐµÐ»Ð¸ÑÐ¾Ð²Ð°Ð½Ð¸Ðµ
Ð¼Ð½Ð¾Ð³Ð¾Ð°Ð³ÐµÐ½ÑÐ½ÑÐµ ÑÐ¸ÑÑÐµÐ¼Ñ
Ð¿ÑÐ¾Ð³Ð½Ð¾Ð·Ð¸ÑÐ¾Ð²Ð°Ð½Ð¸Ðµ Ð¿Ð¾Ð²ÐµÐ´ÐµÐ½Ð¸Ñ
simulation modeling
agent modeling
multi-agent systems
behavior forecasting

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description: The aim of this work is to reduce the labor intensity of risk assessment by experts in the development of complex processes using a modeling tool based on an algorithm for generating alternative behavior development of a multi-agent system using a graph model. The thesis examines the main approaches and methods of simulation modeling, as well as the software solutions and platforms that implement them. A comparative analysis is conducted based on criteria determined by the requirements imposed on the developed solution. With respect to the refined requirements, a detailed specification for the data model is developed, and an algorithm for generating agent behavior trajectories based on a graph model is designed. The formal description of the formats for representing the characteristics of behavior trajectories and the termination conditions for their construction are considered. The developed algorithm and related components are implemented at the software level as a simulation modeling tool, which is presented as a web application. The functionality of the developed software solution is examined with respect to a demonstration model, and the results of the research regarding models of different dimensions that describe subject areas with high decision-making risks are presented.