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. 2019 May 24;21(5):525. doi: 10.3390/e21050525

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© 2019 by the authors.

Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).

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Results of comparison between state-independent $Φ_{3.0}^{p e a k}$ and heuristics and estimates of $Φ_{3.0}^{p e a k}$ . (A) Φ_2.5 modified from Φ_2.0, (B) Φ_2.0 based on IIT_2.0, (C) LZ complexity (non-normalized), (D) decoder-based Φ, based on Φ_2.0, (E) state differentiation D1, (F) cumulative variance of system elements D, (G) estimated state-independent $Φ_{3.0}^{p e a k}$ using five randomly sampled states (H) state-independent $Φ_{3.0}^{m e a n}$ . G and H are plotted with linear fit (blue) and one-to-one relationship (dotted, gray).