85 citations · 105 across the 7 of their papers we have counts for
7 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…
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…
The Future of Fundamental Science Led by Generative Closed-Loop Artificial Intelligence
Hector Zenil, Jesper Tegnér, Felipe S. Abrahão +17
Recent advances in machine learning and AI, including Generative AI and LLMs, are disrupting technological innovation, product development, and society as a whole. AI's contributio…
Estimations of Integrated Information Based on Algorithmic Complexity and Dynamic Querying
Alberto Hernández-Espinosa, Héctor Zenil, Narsis A. Kiani +1
The concept of information has emerged as a language in its own right, bridging several disciplines that analyze natural phenomena and man-made systems. Integrated information has…
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…
Low Algorithmic Complexity Entropy-deceiving Graphs
Hector Zenil, Narsis Kiani, Jesper Tegnér
In estimating the complexity of objects, in particular of graphs, it is common practice to rely on graph- and information-theoretic measures. Here, using integer sequences with pro…
Causality, Information and Biological Computation: An algorithmic software approach to life, disease and the immune system
Hector Zenil, Angelika Schmidt, Jesper Tegnér
Biology has taken strong steps towards becoming a computer science aiming at reprogramming nature after the realisation that nature herself has reprogrammed organisms by harnessing…