The Tensor Product model transformation as the link connecting Biological and Cognitive Systems with Control Theory

被引：0

作者：

Szoellosi, Alexandra ^{[1
]}

Baranyi, Peter ^{[1
]}

机构：

[1] Hungarian Acad Sci, Comp & Automat Res Inst, Internet Based Control & Commun Lab 3D, H-1051 Budapest, Hungary

来源：

2014 5TH IEEE CONFERENCE ON COGNITIVE INFOCOMMUNICATIONS (COGINFOCOM) | 2014年

关键词：

Tensor Product model transformation; Control Theory; Biological Systems; Cognitive Systems; Bioinformatics; Intelligent Control; Coginformatics; EXECUTIVE FUNCTIONS; DESIGN; BIOINFORMATICS;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

The paper investigates and discusses the fact that there exists a significant difference and gap between the conventional mathematical modeling and computational techniques of control theory and the mathematical modeling and computational techniques beneficial of modeling cognitive processes or generally overall biological processes. This difference and gap represents a significant obstacle in designing control systems and theorems for cognitive or overall biological processes and systems. In this context the paper discusses and concludes pointing out the fact that the Tensor Product (TP) model transformation is a possible effective link and connector between the above mentioned two different mathematical modeling concepts.

引用

页码：569 / 574

页数：6

共 42 条

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