An information theoretic approach to originality and bias in science

Laszlo B. Kish, Chanan Singh & Tamas Erdelyi
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.
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