Hector Zenil
Hector Zenil
Senior AI Researcher @Alan Turing Institute | Lab Leader @Karolinska | Faculty Member @Oxford
Verified email at cs.ox.ac.uk - Homepage
Cited by
Cited by
Inferring causal molecular networks: empirical assessment through a community-based effort
SM Hill, LM Heiser, T Cokelaer, M Unger, NK Nesser, DE Carlin, Y Zhang, ...
Nature methods 13 (4), 310-318, 2016
Calculating Kolmogorov complexity from the output frequency distributions of small turing machines
F Soler-Toscano, H Zenil, JP Delahaye, N Gauvrit
PLoS ONE 9 (5), e96223, 2014
Numerical Evaluation of the Complexity of Short Strings: A Glance Into the Innermost Structure of Algorithmic Randomness
H Zenil, JP Delahaye
Applied Mathematics and Computation 219, 63-77, 2011
A Computable Universe: Understanding and Exploring Nature as Computation
H Zenil
World Scientific Publishing Company, 2012
Correlation of automorphism group size and topological properties with program-size complexity evaluations of graphs and complex networks
H Zenil, F Soler-Toscano, K Dingle, AA Louis
Physica A: Statistical Mechanics and its Applications 404, 341-358, 2014
Compression-based investigation of the dynamical properties of cellular automata and other systems
H Zenil
Complex Systems 19 (1), 1-28, 2010
A decomposition method for global evaluation of Shannon entropy and local estimations of algorithmic complexity
H Zenil, S Hernández-Orozco, N Kiani, F Soler-Toscano, A Rueda-Toicen, ...
Entropy 20 (8), 605, 2018
Two-dimensional Kolmogorov complexity and an empirical validation of the Coding theorem method by compressibility
H Zenil, F Soler-Toscano, JP Delahaye, N Gauvrit
PeerJ Computer Science 1, e23, 2015
Slime mould: the fundamental mechanisms of biological cognition
J Vallverdú, O Castro, R Mayne, M Talanov, M Levin, F Baluška, Y Gunji, ...
Biosystems 165, 57-70, 2018
Methods of information theory and algorithmic complexity for network biology
H Zenil, NA Kiani, J Tegnér
Seminars in Cell and Developmental Biology 51, 32-43, 2016
Asymptotic Behaviour and Ratios of Complexity in Cellular Automata
H Zenil
International Journal of Bifurcation and Chaos 23 (9), 2013
On the Algorithmic Nature of the World
H Zenil, JP Delahaye
Information and Computation 2, 477-496, 2009
Low-algorithmic-complexity entropy-deceiving graphs
H Zenil, NA Kiani, J Tegnér
Physical Review E 96 (1), 012308, 2017
Algorithmic complexity for psychology: A user-friendly implementation of the coding theorem method
N Gauvrit, H Singmann, F Soler-Toscano, H Zenil
Behavior Research Methods 48 (1), 1-16, 2015
Causal Deconvolution by Algorithmic Generative Models
H Zenil, NA Kiani, A Zea, J Tegnér
Nature Machine Learning 1, 2019
Algorithmic complexity for short binary strings applied to psychology: a primer
N Gauvrit, H Zenil, JP Delahaye, F Soler-Toscano
Behavior Research Methods 46 (3), 732-744, 2014
Computation and universality: class IV versus class III cellular automata
GJ Martinez, JC Seck-Tuoh-Mora, H Zenil
Journal of Cellular Automata 7, 393-430, 2013
Correspondence and Independence of Numerical Evaluations of Algorithmic Information Measures
F Soler-Toscano, H Zenil, JP Delahaye, N Gauvrit
Computability 2 (2), 125-140, 2012
Formal definitions of unbounded evolution and innovation reveal universal mechanisms for open-ended evolution in dynamical systems
A Adams, H Zenil, PCW Davies, SI Walker
Scientific reports 7 (1), 1-15, 2017
On the Kolmogorov-Chaitin complexity for short sequences
JP Delahaye, H Zenil
Randomness and Complexity: From Leibniz to Chaitin, 123-130, 2007
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