An Information Theoretic Approach to Originality and Bias in Science

被引：1
|
作者：
Kish, L. B. [1 ]
Singh, C. [1 ]
Erdelyi, T. [2 ]
机构：
[1] Texas A&M Univ, Dept Elect & Comp Engn, College Stn, TX 77843 USA
[2] Texas A&M Univ, Dept Math, College Stn, TX 77843 USA
来源：
FLUCTUATION AND NOISE LETTERS | 2020年 / 19卷 / 02期
关键词：
Originality; information entropy; bias; political correctness; errors; error correction;
D O I：
10.1142/S0219477520500340
中图分类号：
O1 [数学];
学科分类号：
0701 ; 070101 ;
摘要：
We introduce an information theoretic framework for a quantitative measure of originality to model the impact of various classes of biases, errors and error corrections on scientific research. Some of the open problems are also outlined.
引用
收藏
页数：9
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