Meta-model Design for Internet Multimedia Neurophysiology Interface

A. P. Kamyshanov
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引用次数: 1

Abstract

Internet modelling research has worked out its own problem domain. It unites the results and methods of fundamental sciences as physics, chemistry, and quantum mechanics, so exotic mathematically poor described neurophysiology together with rapidly developing knowledge engineering. Global scientists’ cooperation leads to creation of multimedia systems, representing Internet cognitive interface, and new theoretical methods for knowledge discovery. Hidden Markov chains with complex topology are important theoretical base stone of knowledge discovery technology. Research meta-model with hidden Markov chain for Internet multimedia interface is suggested. On the base of Internet modelling the approach for quantum mechanics and information theory logic monotony knowledge fusion was suggested. It was demonstrated for uncertainty relation of quantum mechanics and Shannon information measure by applying lifting lemma to Internet modelling domain, that logic monotony of Internet knowledge base had been preserved.
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网络多媒体神经生理学接口的元模型设计
互联网建模研究已经形成了自己的问题域。它将物理学、化学和量子力学等基础科学的结果和方法结合在一起,将数学上描述不清的神经生理学与快速发展的知识工程学结合在一起。全球科学家的合作创造了代表互联网认知界面的多媒体系统,为知识发现提供了新的理论方法。复杂拓扑隐马尔可夫链是知识发现技术的重要理论基础。提出了一种基于隐马尔可夫链的网络多媒体接口元模型。在互联网建模的基础上,提出了量子力学与信息论逻辑单调性知识融合的方法。将提升引理应用于互联网建模领域,证明了量子力学与Shannon信息测度的不确定性关系,保持了互联网知识库的逻辑单调性。
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