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Modeling of Intelligent System Thinking in Complex Adaptive Systems

机译:复杂自适应系统中智能系统思维的建模

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The use of proposed technology of Modeling of Intelligent Systems Thinking in Complex Adaptive systems is oriented on use in autonomous, intelligent Fuzzy Control and Information Complex Adaptive systems, that operate in real-time, fuzzy conditions, heterogeneous subject areas and multilingual communications, there the situations are unknown in advance, fuzzy structured and not clearly regulated. The technology consists in extracting of relevant data, information and knowledge from texts (speech) in various natural languages, within dissimilar subject areas for implementation of fuzzy control of data, information and knowledge in light of representing them in knowledge bases and organizing on basis of them the processes of Reasoning and Systems Thinking under uncertainty and in Fuzzy Environment. The technology is formalized using Fuzzy Logic, Situational Control theories, Linguistics, Artificial Intelligence, Knowledge base technologies and is defined by methods of a) Situational Control of fuzzy data, information and knowledge, b) Knowledge Representation, Generalization and Explanation, c) Modeling of Fuzzy Logic Inference, Decision making and Fuzzy Control, d) Intelligent Fuzzy Reasoning and Systems Thinking.
机译:在复杂的自适应系统中使用拟议的智能系统建模技术的技术是针对在实时,模糊条件,异构主题领域和多语言通信中运行的自治,智能模糊控制和信息复杂自适应系统中使用的。情况事先未知,结构模糊且监管不明确。该技术包括在不同的主题领域内,从各种自然语言的文本(语音)中提取相关的数据,信息和知识,以实现对数据,信息和知识的模糊控制。它们是不确定和模糊环境下的推理和系统思考的过程。该技术使用模糊逻辑,态势控制理论,语言学,人工智能,知识库技术形式化,并通过以下方法定义:a)模糊数据,信息和知识的态势控制; b)知识表示,归纳和解释; c)建模逻辑推理,决策与模糊控制的研究,d)智能模糊推理与系统思维。

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