Modeling the Behavior of Intelligent Agents Based on Adaptive Fuzzy Situational Networks

机译：基于自适应模糊情境网络的智能主体行为建模

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摘要

The paper represents adaptive fuzzy situational networks and their features for formalized description and modelling of the behavior and interaction of intelligent agents in multi-agent systems.

机译：本文描述了自适应模糊情境网络及其特征，用于形式化描述和建模多智能体系统中智能代理的行为和交互。

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来源
《2018 3rd Russian-Pacific Conference on Computer Technology and Applications》|2018年|1-5|共5页
会议地点 Vladivostok(RU)
作者
Maxim Denisenkov; Vadim Borisov;
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作者单位

Computer Engineering, The Branch of National Research University “Moscow Power Engineering Institute” in Smolensk, Smolensk, Russian Federation;

Computer Engineering, The Branch of National Research University “Moscow Power Engineering Institute” in Smolensk, Smolensk, Russian Federation;

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原文格式 PDF
正文语种 eng
中图分类
关键词
Adaptation models; Multi-agent systems; Linguistics; Intelligent agents; Field-flow fractionation; Fuzzy sets;

机译：适应模型;多智能体系统;语言学;智能智能体;场流分割;模糊集;;

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8. Behavioral networks as a model for intelligent agents [R] . Sliwa, Nancy E. 1990

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Modeling the Behavior of Intelligent Agents Based on Adaptive Fuzzy Situational Networks

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