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An Information Theoretic Approach to Originality and Bias in Science
Fluctuation and Noise Letters ( IF 1.8 ) Pub Date : 2020-03-02 , DOI: 10.1142/s0219477520500340
L. B. Kish 1 , C. Singh 1 , T. Erdélyi 2
Affiliation  

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.

中文翻译:

科学中独创性和偏见的信息论方法

我们引入了一个信息论框架,用于对原创性进行定量测量,以模拟各类偏见、错误和纠错对科学研究的影响。还概述了一些未解决的问题。
更新日期:2020-03-02
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