2 citations · 2 across the 1 of their papers we have counts for
3 papers
Assembly Theory Reduced to Shannon Entropy and Rendered Redundant by Naive Statistical Algorithms
Luan Ozelim, Abicumaran Uthamacumaran, Felipe S. Abrahão +4
Assembly Theory (AT) and its central measure, the assembly index (Ai), represent an invaluable opportunity to address some of the most persistent and widespread conflations and mis…
Minimal Algorithmic Information Loss Methods for Dimension Reduction, Feature Selection and Network Sparsification
Hector Zenil, Narsis A. Kiani, Alyssa Adams +5
We present a novel, domain-agnostic, model-independent, unsupervised, and universally applicable Machine Learning approach for dimensionality reduction based on the principles of a…
Assembly Theory is an approximation to algorithmic complexity based on LZ compression that does not explain selection or evolution
Felipe S. Abrahão, Santiago Hernández-Orozco, Narsis A. Kiani +2
We prove the full equivalence between Assembly Theory (AT) and Shannon Entropy via a method based upon the principles of statistical compression renamed `assembly index' that belon…