From Shannon's information theory to cognitive information theory

被引：0

作者：

Lu K. ^{[1
]}

机构：

[1] College of Information and Communication Engineering, Harbin Engineering University

来源：

Harbin Gongcheng Daxue Xuebao/Journal of Harbin Engineering University | 2011年 / 32卷 / 08期

关键词：

Appearance information; Cognition; Decrease in entropy; Information of regularity; Object information;

D O I：

10.3969/j.issn.1006-7043.2011.08.018

中图分类号：

学科分类号：

摘要：

Human cognition is a kind of information activity, so it must have relevant mathematical theories of its own. Based on the entropy theory of Shannon's information theory, the fundamental mathematical principle of cognition was discussed. It was pointed out that cognition is a series of decreases in entropy through which the object information and information of regularities are obtained from enormous input perception signals. As for the state of information, it can be partly determined by prediction and partly detected in real observation of the variations in appearance information.

引用

页码：1063 / 1067

页数：4