An applied multi-agent system within the framework of a player-centered probabilistic computer game
作者机构：Dean of Computer Science Faculty Moscow State University of Psychology and EducationMoscowRussia Computer Science Faculty Moscow State University of Psychology and EducationMoscowRussia
出 版 物：《International Journal of Modeling, Simulation, and Scientific Computing》 (建模、仿真和科学计算国际期刊（英文）)
年 卷 期：2018年第9卷第1期
页 面：57-73页
核心收录：
学科分类：08[工学] 0812[工学-计算机科学与技术（可授工学、理学学位）]
基 金：Russian Foundation for Basic Research РФФИ
主 题：Multi-agent systems group control Markov process model identification behavior control for applied multi-agent systems
摘 要：The probabilistic model to represent the behavior of an applied multi-agent system that introduces the interaction between a set of agents and Player has been developed within the framework of player-centered probabilistic computer *** approach features are given with the aid of a game developed for testing cognitive *** agent’s behavior is nondeterministic and therefore unpredictable from Player *** system allows both coordinated and autonomous agent’s behavior that depends on availability of information about the presence and position of workable agents for each ***’s behavior is determined with the aid of the algorithm that includes identification of the probabilistic model parameters using maximized objective functions representing individual and group probabilities for Player *** the model and algorithm ensure the behavior control for relevant applied multi-agent systems.
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