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An Information Theoretic Approach to Originality and Bias in Science
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Submitted:
09 February 2020
Posted:
10 February 2020
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Abstract
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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Subject: Computer Science and Mathematics - Information Systems
Copyright: This open access article is published under a Creative Commons CC BY 4.0 license, which permit the free download, distribution, and reuse, provided that the author and preprint are cited in any reuse.
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