The digitization of paintings could help art historians detect previously unknown patterns and connections
The process, described by Ribeiro and his colleagues last September in the Proceedings of the National Academy of Sciences USA, involves assessing the complexity and entropy, or disorder, of these digitized artworks. Complexity is based on the variability of patterns within each image, ranging from highly variable (more complex) to uniform (less complex). Entropy is determined by the degree of chaos in the image; the more “regular” the painting, the lower the entropy.
The same way we analyze a GUI in any windowing system, match the complexity to the intelligence of user interactions.
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