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• W2133970945 abstract "In the past decades many definitions of complexity have been proposed. Most of these definitions are based either on Shannon's information theory or on Kolmogorov complexity; these two are often compared, but very few studies integrate the two ideas. In this article we introduce a new measure of complexity that builds on both of these theories. As a demonstration of the concept, the technique is applied to elementary cellular automata and simulations of the self-organization of porphyrin molecules." @default.
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• W2133970945 date "2015-05-01" @default.
• W2133970945 modified "2023-09-27" @default.
• W2133970945 title "Complexity Measurement Based on Information Theory and Kolmogorov Complexity" @default.
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• W2133970945 doi "https://doi.org/10.1162/artl_a_00157" @default.
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