Publications

Across 140+ peer-reviewed publications and books indexed in DBLP and Google Scholar, research output can be organised in four primary subjects:

• Fundamental AI, Machine Learning & Solomonoff Induction (~49%), led by papers in journals such as Nature Machine Intelligence, Nature Communications, npj Artificial Intelligence, Computability, PNAS Nexus, and Frontiers in AI.
• Computational Biology, Systems Medicine & Digital Health (~34%), in Nature Methods, Nature Communications, npj Digital Public Health, npj Systems Biology, Computers in Biology and Medicine, Seminars in Cell and Developmental Biology, iScience, Nucleic Acids Research, and Seminars in Cancer Biology.
• Cognitive Science, Neuroscience & Human Behaviour (~18%), in journals such as PLOS Computational Biology, Frontiers in Computational Neuroscience, Visual Cognition, and BioSystems.
• Complexity Science, Physics & Foundations of Computation (~17%), in npj Complexity, Physical Review E, Philosophical Transactions of the Royal Society A, Theoretical Computer Science, and Physica A.

Numbering code — J: journal · P: proceeding or chapter · # co-first author if not listed first · * corresponding author · ^ sorted alphabetically

• 
  140 · J89

  Similarity analysis of blood count reference intervals reveals no ethnic or geographic structure and supports personalised values

  K. Wu, A. Uthamacumaran, A. Fulton, H. Zenil

  npj Digital Public Health, vol. 1, no. 1:32, 2026

  [online]
• 
  139 · J88

  A Review of Point-of-Care Devices for Blood-Testing Towards AI-driven Remote Digital Care, Precision Healthcare and Predictive Medicine

  J. Gu, A. Uthamacumaran, H. Zenil

  Computer Methods and Programs in Biomedicine Update, vol. 10, 100258, 2026

  [online]
• 
  138 · J87

  Multi-omic Enriched Blood-Derived Digital Signatures Reveal Mechanistic and Confounding Disease Clusters for Differential Diagnosis

  B. Liu, A. Uthamacumaran, A. Fulton, H. Zenil

  Frontiers in Network Physiology, vol. 6, 2026

  [online]
• 
  137 · J86

  Binarized neural networks converge toward algorithmic simplicity: empirical support for the learning-as-compression hypothesis

  E. Y. Sakabe, F. S. Abrahão, A. Simões, E. Colombini, P. Costa, R. Gudwin, H. Zenil

  Frontiers in Computational Neuroscience, vol. 20, 1791546, 2026

  [online]
• 
  136 · J85

  A quantitative approach to estimating bias, favoritism and distortion

  R. Koushik, H. Zenil

  Frontiers in Communication, vol 11, 1772794, 2026

  [online]
• 
  135 · J84

  Integrative adaptive indexes from noisy routine haematological markers can predict and discriminate health status and biological age

  S. Hernandez-Orozco, A. Uthamacumaran, F. Hernandez-Quiroz, K. Saeb-Parsy, H. Zenil

  Computers in Biology and Medicine, vol 208, 111628, 2026

  [online]
• 
  134 · J83

  SuperARC: a test for artificial superintelligence based on compressed modelling, recursive prediction and problem complexity

  A. Hernández-Espinosa, L. Ozelim, F. S. Abrahão, H. Zenil

  Nature Communications, 17: 4885, 2026

  [online]
• 
  133 · J82

  Neurodivergent Influenceability as a Contingent Solution to the AI Alignment Problem

  A. Hernández-Espinosa, F.S Abrahão, O. Witkowski, H. Zenil

  PNAS Nexus, vol. 5:4, pgag076, 2026

  [online]
• 
  132 · J81

  Assembly Theory Collapses to Dictionary Compression and Is Rendered Redundant by Common Statistical Algorithms

  L. Ozelim, A. Uthamacumaran, F.S Abrahão, S. Hernández-Orozco, N.A Kiani, J. Tegnér, H. Zenil

  npj Complexity, 2026

  [online]
• 
  131 · J80

  The future of fundamental science led by generative closed-loop artificial intelligence

  H Zenil, J Tegnér, FS Abrahão, A Lavin, V Kumar, JG Frey, A Weller,.

  Frontiers in Artificial Intelligence 11;9:1678539, 2026

  [online]
• 
  130 · J79

  Leveraging network motifs to improve artificial neural networks

  H. Zhang, C.-H. Yang, H. Zenil, P.-Y. Chen, Y. Shen, N. A. Kiani, and J. Tegner

  Nature Communications, 16: 11495 2025

  [online]
• 
  129 · P53

  On Circular Growth of Life-Like Automata

  G.J. Martínez, A. Adamatzky, H. Zenil, J.C. Seck-Tuoh-Mora In: A. Adamatzky, G.C. Sirakoulis, G.J. Martinez (eds) Advances in Cellular Automata. Emergence, Complexity and Computation, vol 53.

  Springer Nature, 2025.

  [online]
• 
  128 · J78

  Advancing the Scientific Method with Large Language Models: From Hypothesis to Discovery

  Y. Zhang, i.a. M. Levin, J. Frey, J. Evans, A. Bundy and H. Zenil

  npj Artificial Intelligence 1, 14, 2025.

  [online]
• 
  127 · J77

  On Sequential Structures in Incompressible Multidimensional Networks

  F.S. Abrahao, K. Wehmuth, H. Zenil, and A. Ziviani

  Parallel Processing Letters Vol. 34, No. 03n04, 2450011, 2024

  [preprint][online]
• 
  126 · P52

  The Emergent Behavior of Computer Programs of Short Description Length in Discrete Time and Discrete Space

  H. Zenil

  Foundational Papers in Complexity Science pp. 1735–1792, Santa Fe Institute, 2024.

  [preprint][partial preprint]
• 
  125 · P51

  The Emergent Behavior of Computer Programs of Short Description Length in Discrete Time and Discrete Space

  Hector Zenil Introduction to Universality and Complexity in Cellular Automata by Stephen Wolfram, In

  Foundational Papers in Complexity Science: Volume I by David C. Krakauer, 2024.

  [online]
• 
  124 · J75

  Classical-to-Quantum Transfer Learning Facilitates Machine Learning with Variational Quantum Circuit

  Jun Qi, Chao-Han Huck Yang, Pin-Yu Chen, Min-Hsiu Hsieh, Hector Zenil, Jesper Tegner

  2024

  [preprint]
• 
  123 · J74

  Scientific Hypothesis Generation by a Large Language Model: Laboratory Validation in Breast Cancer Treatment

  A. Abdel-Rehim, H. Zenil, i.a., Ross D. King

  Royal Society Interface 22: 20240674. 2025.

  [online]
• 
  122 · J73

  Decoding Geometric Properties in Non-Random Data from First Information-Theoretic Principles

  Hector Zenil, Felipe S. Abrahão, 2024.

  [preprint]
• 
  121 · J72

  Fractal spatio-temporal scale-free messaging: amplitude modulation of self-executable carriers given by the Weierstrass function's components

  H Zenil, L.C. de Sena Monteiro Ozelim

  Information Sciences, vol. 706, 121988, 2025.

  [preprint][online]
• 
  120 · J71

  Assembly Theory is an approximation to algorithmic complexity based on LZ compression that does not explain selection or evolution

  F.S. Abrahão, S. Hernández-Orozco, N.A. Kiani, J. Tegnér, H. Zenil

  PLOS Complex Systems, 1(1): e0000014, 2024

  [online][preprint]
• 
  119

  Optimal Spatial Deconvolution and Message Reconstruction from a Large Generative Model of Models

  H. Zenil, A. Adams, F.S. Abrahão (submitted)

  [preprint]
• 
  118 · J70

  On the Salient Limitations of the Methods of Assembly Theory and their Classification of Molecular Biosignatures

  A. Uthamacumaran, F.S. Abrahão, N.A. Kiani, H. Zenil

  npj Systems Biology and Applications 10, 82, 2024.

  [online]
• 
  117 · J69

  A Review of Mathematical and Computational Methods in Cancer Dynamics

  A. Uthamacumaran and H. Zenil

  Frontiers in Oncology, vol. 12, 2022

  [online]
• 
  116 · P50

  Artificial intelligence in scientific discovery: Challenges and opportunities

  H. Zenil and R. King in

  Artificial Intelligence in Science: Challenges, Opportunities and the Future of Research, OECD Publishing, Paris, 2023.

  [online]
• 
  115 · P49

  A framework for evaluating the AI-driven automation of science

  H. Zenil and R. King in

  Science: Challenges, Opportunities and the Future of Research, OECD Publishing, Paris, 2023

  [online]
• 
  114 · P47

  The Far Future of AI in Scientific Discovery

  H. Zenil and R. King In Choudhary, Fox and Tony Hey, AI For Science, World Scientific Publishing Company/Imperial College Press, 2023.
• 
  113 · J68

  Simulation Intelligence: Towards a New Generation of Scientific Methods

  A. Lavin, H. Zenil, B. Paige, D. Krakauer, J. Gottschlich, T. Mattson, A. Anandkumar, S. Choudry, K. Rocki, A. Güneş Baydin, C. Prunkl, O. Isayev, E. Peterson, P. L. McMahon, J. Macke, K. Cranmer, J. Zhang, H. Wainwright, A. Hanuka, M. Veloso, S. Assefa, S. Zheng, A. Pfeffer arXiv:2112.03235, 2022

  [preprint]
• 
  112 · J67

  Emergence and Algorithmic Information Dynamics of Systems and Observers

  F. S. Abrahão and H. Zenil

  Philosophical Transactions of the Royal Society A, 2022

  [online]
• 
  111 · J66

  Algorithmic Probability of Large Datasets and the Simplicity Bubble Problem in Machine Learning

  F.S. Abrahão, H. Zenil, F. Porto, and K. Wehmuth

  [preprint]
• 
  110 · P46

  Algorithmic Information Dynamics of Cellular Automata

  H. Zenil and A. Adams In S. Das et al (eds) The Mathematical Artist: A Tribute to John Horton Conway World Scientific Publishing Press, 2022

  [preprint]
• 
  109 · J65

  Computable model discovery and high-level-programming approximations to algorithmic complexity

  V. Lemusa, E. Acuña, V. Zamora, F. Hernandez-Quiroz, H. Zenil Theoretical Computer Science, Elsevier, 2022.

  [online]
• 
  108 · P45

  A Computable Piece of Uncomputable Art whose Expansion May Explain the Universe in Software Space

  H. Zenil In A. Adamatzky, Unconventional Computing, Arts, Philosophy, World Scientific Publishing Company, 2022

  [preprint][online]
• 
  107 · P44

  Artificial Intelligence in Medicine and Causality for Precision and Value-based Healthcare

  H. Zenil In N. Lidströmer and H. Ashrafian (eds.)

  Artificial Intelligence in Medicine, Springer Verlag, 2021

  [online]
• 
  106 · P43

  Causal Diagnostics for Cancer and Complex Diseases

  H. Zenil In I. Balaz and A. Adamatzky, Cancer, Complexity, Computation, World Scientific Publishing Company

  Springer, 2021

  [online]
• 
  105 · P42

  Les ordinateurs peuvent-ils produire du hasard? Une exploration de la découverte causale

  (Can computers produce randomness? An exploration of causal discovery) H. Zenil In Pour quoi moi? chap. 4, Belin Sciences et Nature, 2021

  [online][online]
• 
  104 · J64

  Algorithmic Probability-guided Machine Learning On Non-differentiable Spaces

  S. Hernández-Orozco, H. Zenil, J. Riedel, A. Uccello, N.A. Kiani, and J. Tegnér

  Frontiers in Artificial Intelligence, 25, 2021.

  [online][preprint]
• 
  103 · P41

  Algorithmic Information Dynamics

  H. Zenil, N.A. Kiani, F.S. Abrahao and J. Tegnér

  Scholarpedia, 15(7):53143, 2020.

  [online]
• 
  102 · J63

  Non-Classical Logics in Unconventional Computing

  A. Schumann and H. Zenil International Journal of Unconventional Computing, pp. 237-244, vol. 15, No.4, 2020

  [online]
• 
  101 · J62

  A Review of Methods for Estimating Algorithmic Complexity: Options, Challenges, and New Directions

  H. Zenil

  Entropy, 22, 612, 2020. (special issue on Shannon Entropy and Kolmogorov complexity)

  [online]
• 
  100 · P40

  Evolving Neural Networks through a Reverse Encoding Tree

  H. Zhang, C-H. Huck Yang, H. Zenil, N.A. Kiani, Y. Shen and J. Tegnér

  IEEE World Congress on Computational Intelligence 2020.

  [preprint]
• 
  99 · P39

  Algorithmic Information Distortions in Node-Aligned and Node-Unaligned Multidimensional Networks

  F.S. Abrahao, K. Wehmuth, H. Zenil, and A. Ziviani

  Entropy 2021, 23(7), 835

  [online]
• 
  98 · J60

  Towards Demystifying Shannon Entropy, Lossless Compression, and Approaches to Statistical Machine Learning

  H. Zenil Proceedings 47, no. 1: 24, 2020

  [online]
• 
  97 · J59

  Causal Deconvolution by Algorithmic Generative Models

  H. Zenil, N.A. Kiani, A. Zea, J. Tegnér

  Nature Machine Intelligence, vol 1, pages 58–66, 2019

  [online][online][video]
• 
  96 · J58

  A Novel Method for Reconstructing CT Images in GATE/GEANT4 with Application in Medical Imaging: A Complexity Analysis Approach

  N. Gholamia, M. Mahdi Dehshibia, M. Fazlalib, A. Rueda-Toicen, H. Zenil, A. Adamatzky

  Journal of Information Processing, vol. 28 pp. 161–168, 2020.

  [online][preprint]
• 
  95 · P38

  Compression is Comprehension, and the Unreasonable Effectiveness of Digital Computation in the Natural World

  H. Zenil In S. Wuppuluri, F. Doria (eds.) Unravelling Complexity (Gregory Chaitin’s 70 festschrift), World Scientific Publishing, 2019.

  [online]
• 
  94 · J57

  Controllability, Multiplexing, and Transfer Learning in Networks using Evolutionary Learning

  R. Ooi, C.-H. Huck Yang, P.-Yu Chen, V. Eguiluz, N.A. Kiani, H. Zenil, D. Gómez-Cabrero, J. Tegnér

  [preprint]
• 
  93 · P37

  Estimations of Integrated Information Based on Algorithmic Complexity and Dynamic Querying

  A. Hernández-Espinosa, H. Zenil^, N.A. Kiani, and J. Tegnér In Handbook of Unconventional Computing, A. Adamatzky (Ed.), World Scientific Publishing Company, 2022

  [preprint]
• 
  92 · J56

  A Review of Graph and Network Complexity from an Algorithmic Information Perspective

  H. Zenil, N.A. Kiani, J. Tegnér

  Entropy, 20(8):551, 2018.

  [online]
• 
  91 · J55

  Training-free Measures Based on Algorithmic Probability Identify High Nucleosome Occupancy in DNA Sequences

  H. Zenil, P. Minary

  Nucleic Acids Research, gkz750, 2019

  [online][preprint]
• 
  90 · J54

  Community assessment to advance computational prediction of cancer drug combinations in a pharmacogenomic screen

  S.M Hill, L.M. Heiser, (…) i.a. H. Zenil (DREAM Challenge Consortium) (…), G. Stolovitzky, J. Guinney, J.R Dry, J. Saez-Rodriguez

  Nature Communications, vol. 10, Article number: 2674, 2019.

  [online]
• 
  89 · P36

  On the Complex Behaviour of Natural and Artificial Machines and Systems

  H. Zenil In F.P. Bonsignorio, A.P. del Pobil, E. Messina, J. Hallam (eds.), Metrics of sensory motor integration in robots and animals Springer Cosmos Series, Cognitive Systems Monographs, Springer, pp.111-125,2019 [Amazon, preprint]

  [online][preprint]
• 
  88 · J53

  Minimal Algorithmic Information Loss Methods for Dimension Reduction, Feature Selection and Network Sparsification

  H. Zenil, N.A. Kiani, A. Rueda-Toicen, A. Zea, J. Tegnér

  Information Sciences 720 (2025) 122520

  [preprint]
• 
  87 · J52

  The Thermodynamics of Network Coding, and Algorithmic Refinement of the principle of Maximum Entropy

  H. Zenil, N.A. Kiani, J. Tegnér

  Entropy, 21(6), 560, 2019

  [online]
• 
  86 · J51

  An Algorithmic Information Calculus for Causal Discovery and Reprogramming Systems

  H Zenil, N.A. Kiani, F. Marabita, Y. Deng, S. Elias, A. Schmidt, G. Ball, J. Tegnér

  iScience, S2589-0042(19)30270-6, 2019 DOI:10.1016/j.isci.2019.07.043

  [online][online][video]
• 
  85 · J50

  Algorithmically Probable Mutations Reproduce Aspects of Evolution, such as Convergence Rate, Genetic Memory, and Modularity

  S. Hernández-Orozco, N.A. Kiani, H. Zenil

  Royal Society Open Science, 5:180399, 2018

  [online]
• 
  84 · J49

  A Decomposition Method for Global Evaluation of Shannon Entropy and Local Estimations of Algorithmic Complexity

  H. Zenil, S. Hernández-Orozco, N.A. Kiani, F. Soler-Toscano, A. Rueda-Toicen

  Entropy 20(8), 605, 2018
• 
  83 · P35

  Algorithmic Information Dynamics of Emergent, Persistent, and Colliding Particles in the Game of Life

  H. Zenil, N.A. Kiani and J. Tegnér In A. Adamatzky (ed), From Parallel to Emergent Computing (book) Taylor & Francis / CRC Press, pp.367–383, 2019

  [preprint]
• 
  82 · P34

  Model Discovery and Discrete Inverse Problems with Cellular Automata and Boolean Networks

  H. Zenil, Y. Zhang and N.A. Kiani In A. Adamatzky, Automata and Complexity, Eric Goles festschrift

  Springer, 2022.

  [online]
• 
  81 · J48

  Symmetry and Correspondence of Algorithmic Complexity over Geometric, Spatial and Topological Representations

  H. Zenil, N.A. Kiani and J. Tegnér

  Entropy, 20(7), 534, 2018

  [online]
• 
  80 · J47

  Coding-theorem Like Behaviour and Emergence of the Universal Distribution from Resource-bounded Algorithmic Probability

  H. Zenil, L. Badillo, S. Hernández-Orozco and F. Hernandez-Quiroz

  International Journal of Parallel Emergent and Distributed Systems, 2018

  [online]
• 
  79 · J46

  Rule Primality, Minimal Generating Sets and Turing-Universality in the Causal Decomposition of Elementary Cellular Automata

  J. Riedel and H. Zenil^

  Journal of Cellular Automata, vol. 13, pp. 479–497, 2018

  [online][preprint]
• 
  78 · J45

  Algorithmic Complexity and Reprogrammability of Chemical Structure Networks

  H. Zenil, N.A. Kiani, M-M. Shang, J. Tegnér

  Parallel Processing Letters, vol. 28, 2018

  [online][preprint]
• 
  77 · J44

  Cross-boundary Behavioural Reprogrammability Reveals Evidence of Pervasive Universality

  J. Riedel, H. Zenil^

  International Journal of Unconventional Computing, vol 13:14-15 pp. 309-357, 2018

  [online][preprint]
• 
  76 · J43

  Slime Mould: The Fundamental Mechanisms of Biological Cognition

  J. Vallverdú, O. Castro, R. Mayne, M. Talanov, M. Levine, F. Baluska, Y. Gunji, A. Dussutourg, H. Zenil, A. Adamatzky

  BioSystems, vol. 165, pp 57-70, 2018

  [online][preprint]
• 
  75 · J42

  Approximations of Algorithmic and Structural Complexity Validate Cognitive-behavioural Experimental Results

  H. Zenil, J.A.R. Marshall, J. Tegnér

  Frontiers In Computational Neuroscience, vol. 16, 2023

  [online]
• 
  74 · J41

  Shortening of proof length is elusive for theorem provers

  S. Hernández-Orozco, H. Zenil, F. Hernández-Quiroz, W. Sieg

  Parallel Processing Letters, Vol. 30, No. 04, 2050013, 2020

  [online][preprint]
• 
  73 · J40

  Undecidability and Irreducibility Conditions for Open-Ended Evolution and Emergence

  S. Hernández-Orozco, F. Hernández-Quiroz and H. Zenil

  Artificial Life, vol. 24:1, pp. 56–70, 2018

  [online][preprint]
• 
  72 · J39

  A Computable Measure of Algorithmic Probability by Finite Approximations with an Application to Integer Sequences

  F. Soler-Toscano, H. Zenil

  Complexity vol. 2017 (2017), Article ID 7208216

  [preprint]
• 
  71 · J38

  Reprogramming Matter, Life and Purpose.

  H. Zenil

  International Journal of Unconventional Computing, vol. 13.3, p. 221–233, 2017

  [online][preprint]
• 
  70 · J37

  HiDi: An efficient reverse engineering schema for large scale dynamic regulatory network reconstruction using adaptive differentiation

  Y. Deng, H. Zenil, J. Tegnér, N.A. Kiani

  Bioinformatics btx501, 2017

  [online]
• 
  69 · J36

  East-West Paths to Unconventional Computing: Complexity in Causality

  S. Akl, M. Burgin, C.S. Calude, M.M. Dehshibi, Y. Gunji, Z. Konkoli, B. Maclenna, B. Marchal, M. Margenstern, G.J. Martinez, R. Mayne, K. Morita, A. Schumann, G.Ch. Sirakoulis, K. Svozil, H. Zenil, A. Adamatzky

  Progress in Biophysics & Molecular Biology, 131:469–493, 2017. doi: 10.1016/j.pbiomolbio.2017.08.004.

  [online][online]
• 
  68 · J35

  Low Algorithmic Complexity Entropy-deceiving Graphs

  H. Zenil, N.A. Kiani and J. Tegnér

  Physical Review E 96, 012308, 2017

  [online]
• 
  67 · J34

  Formal Definitions of Unbounded Evolution and Innovation Reveal Universal Mechanisms for Open-Ended Evolution in Dynamical Systems

  A. Adams, H. Zenil, P.W.C. Davies, S.I. Walker

  Scientific Reports 7, No:997, 2017.

  [online]
• 
  66 · J33

  Human Behavioral Complexity Peaks at Age 25

  N. Gauvrit, H. Zenil, F. Soler-Toscano, J.-P. Delahaye, P. Brugger

  PLoS Comput Biol 13(4): e1005408, 2017.

  [online][video]
• 
  65 · P33

  Predictive Systems Toxicology

  N.A. Kiani, M. Shang, H. Zenil and J. Tegnér In Orazio Nicolotti (ed.), Computational Toxicology – Methods and Protocols, Methods in Molecular Biology

  Springer, 2017.

  [online][preprint]
• 
  64 · P32

  Approximations to Algorithmic Probability

  H. Zenil In Robert A. Meyers (ed), 2nd. Edition of the

  Springer Encyclopedia of Complexity and Systems Science, 2017.

  [online]
• 
  63 · P31

  Cognition and the Algorithmic Nature of the Mind

  H. Zenil In Robert A. Meyers (ed), 2nd. Edition of the

  Springer Encyclopedia of Complexity and Systems Science, 2017.

  [online]
• 
  62 · P30

  The Information-theoretic and Algorithmic Approach to Human, Animal and Artificial Cognition

  N. Gauvrit, H. Zenil#, J. Tegnér In G. Dodig-Crnkovic and R. Giovagnoli (Eds.) Representation and reality : Humans, animals and machines.

  Springer, pp 117-139, 2017.

  [online]
• 
  61 · P29

  Is there any Real Substance to the Claims for a ‘New Computationalism’?

  A. Hernández-Espinosa, F. Hernández-Quiroz and H. Zenil In J. Kari, F. Manea, I. Petre (eds) Unveiling Dynamics and Complexity (Computability in Europe 2017), Springer Verlag, 2017.

  [online]
• 
  60 · P28

  Causality, Information and Biological Computation: An algorithmic software approach to life, disease and the immune system

  H. Zenil, A. Schmidt, J. Tegnér In S I. Walker, P.C.W. Davies and G. Ellis (eds.), Information and Causality: From Matter to Life.

  Cambridge University Press, pp. 244-279, 2017.

  [online]
• 
  59 · P27

  Algorithmic Data Analytics, Small Data Matters and Correlation versus Causation

  H. Zenil In M. Ott, W. Pietsch, J. Wernecke (eds.), Berechenbarkeit der Welt? Philosophie und Wissenschaft im Zeitalter von Big Data (Computability of the World? Philosophy and Science in the Age of Big Data)

  Springer Verlag, pp 453-475, 2017.

  [preprint]
• 
  58 · J32

  Perspective on Bridging Scales and Design of Models using Low-Dimensional Manifolds & Data-driven Model Inference

  J. Tegner, H. Zenil, N.A. Kiani, G. Ball, D. Gomez-Cabrero

  Philosophical Transactions of the Royal Society A, volume 374, issue 2080, 2016

  [online]
• 
  57 · J31

  Inferring causal molecular networks: Empirical Assessment of Causal Network Learning through a Community-based Effort

  S.M Hill, L.M. Heiser, (…) i.a. H. Zenil (DREAM Challenge Consortium) (…), S. Mukherjee, G. Stolovitzky, J. Saez-Rodriguez

  Nature Methods 13, pp. 310–318, 2016.
• 
  56 · J30

  Methods of Information Theory and Algorithmic Complexity for Network Biology

  H. Zenil, N.A. Kiani and J. Tegnér

  Seminars in Cell and Developmental Biology, vol. 51, pp. 32-43, 2016.

  [online][preprint]
• 
  55 · J29

  Fractal Dimension versus Process Complexity

  J.J. Joosten, F. Soler-Toscano, and H. Zenil

  Advances in Mathematical Physics vol. 2016, Article ID 5030593

  [online]
• 
  54 · J28

  Flow of Information in Biological Systems

  A. Masoudi-Nejad and H. Zenil

  Seminars in Cell and Developmental Biology, vol. 51 pp 1-2, 2016.

  [online]
• 
  53 · J27

  Quantifying Loss of Information in Network-based Dimensionality Reduction Techniques

  H. Zenil, N.A. Kiani, J. Tegnér

  Journal of Complex Networks, vol. 4:(3) pp. 342-362, 2016

  [online][preprint]
• 
  52 · J26

  Evaluating Network Inference Methods in Terms of Their Ability to Preserve the Topology and Complexity of Genetic Networks

  N.A. Kiani, H. Zenil#, J. Olczak and J. Tegnér

  Seminars in Cell and Developmental Biology, vol. 51, pp. 44-52, 2016.

  [online][preprint]
• 
  51 · P26

  The Limits of Decidable States on Open-Ended Evolution and Emergence

  S. Hernández-Orozco, F. Hernández-Quiroz and H. Zenil

  Artificial Life, vol. 24(1) pp. 56-70, 2018.

  [online]
• 
  50 · P25

  Formal definitions of Unbounded Evolution and Innovation Reveal universal Mechanisms for Open-ended evolution in Dynamical Systems

  A. Adams, H. Zenil, P.C.W. Davies and S.I. Walker Second Workshop on Open-Ended Evolution, 15th International Conference on the Synthesis and Simulation of Living Systems (ALIFE), 2016.

  [online][preprint]
• 
  49 · P24

  Asymptotic Intrinsic Universality and Reprogrammability by Behavioural Emulation

  H. Zenil and J. Riedel Advances in Unconventional Computation. A. Adamatzky (ed)

  Springer Verlag, pp. 205-220, 2016.

  [preprint]
• 
  48 · J25

  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, Volume 48, Issue 1, pp. 1-16, 2015. doi:10.3758/s13428-015-0574-3

  [online]
• 
  47 · P23

  Topological Evaluation of Methods for Reconstruction of Genetic Regulatory Networks

  J. Olczak, N.A. Kiani, H. Zenil and J. Tegnér Proceedings of the IEEE Workshop on Complex Networks, SITIS, Bangkok 2015.

  [online]
• 
  46 · P22

  Numerical Investigation of Graph Spectra and Information Interpretability of Eigenvalues

  H. Zenil, N.A. Kiani, J. Tegnér In F. Ortuño & I. Rojas (Eds.): 3rd International Work-Conference on Bioinformatics and

  Biomedical Engineering (IWBBIO) 2015, Part II, LNCS 9044, pp. 395–405. Springer, 2015.

  [online]
• 
  45 · P21

  The Effects of Global Rules on Interacting Cellular Automata

  A. Adams, H. Zenil, E. Reyes, J. Joosten In J. Kari, I. Törmä, M. Szabados (Eds.), 21st International Workshop on Cellular Automata and Discrete Complex Systems AUTOMATA 2015, TUCS Lecture Notes, 2015.

  [online]
• 
  44 · J24

  Algorithmicity and Programmability in Natural Computing with the Game of Life as an In Silico Case Study

  H. Zenil

  Journal of Experimental & Theoretical Artificial Intelligence, Volume 27, Issue 1, pp. 109-121, 2015.

  [online]
• 
  43 · J23

  Complexity Measurement Based on Information Theory and Kolmogorov Complexity

  L. Ting Lui, G. Terrazas, H. Zenil, C. Alexander and N. Krasnogor

  Artificial Life, vol. 21:2, pp. 205-24 2015.

  [online]
• 
  42 · J22

  Two-Dimensional Kolmogorov Complexity and Validation of the Coding Theorem Method by Compressibility

  H. Zenil, F. Soler-Toscano, J.-P. Delahaye and N. Gauvrit

  PeerJ Computer Science, 1:e23, 2015

  [online]
• 
  41 · J21

  Natural Scene Statistics Mediate the Perception of Image Complexity

  N. Gauvrit, F. Soler-Toscano, H. Zenil

  Visual Cognition, Volume 22, Issue 8, pp. 1084-1091, 2014.

  [online][online]
• 
  40 · J20

  Calculating Kolmogorov Complexity from the Output Frequency Distributions of Small Turing Machines

  F. Soler-Toscano, H. Zenil#^, J.-P. Delahaye and N. Gauvrit

  PLoS ONE 9(5): e96223, 2014.

  [online]
• 
  39 · J19

  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 and A. Louis

  Physica A: Statistical Mechanics and its Applications, vol. 404, pp. 341–358, 2014.

  [online][preprint][online][video]
• 
  38 · P20

  Programmability: A Turing Test Approach to Computation

  H. Zenil In L. De Mol and G. Primiero (eds.), Turing in Context, Koninklijke Vlaamse Academie van België voor Wetenschappen en Kunsten (Belgian Academy of Sciences and Arts), Contactforum, 2014.
• 
  37 · J18

  Algorithmic complexity for short binary strings applied to psychology: a primer

  N. Gauvrit, H. Zenil, F. Soler-Toscano and J.-P. Delahaye

  Behavior Research Methods, vol. 46-3, pp 732-744, 2014. doi: 10.3758/s13428-013-0416-0

  [online]
• 
  36 · J17

  Algorithmic Complexity of Financial Motions

  L. Ma, O. Brandouy, J.-P. Delahaye and H. Zenil

  Research in International Business and Finance, vol. 30, pp. 336-347, 2014.

  [online][online]
• 
  35 · J16

  Correspondence and Independence of Numerical Evaluations of Algorithmic Information Measures

  F. Soler-Toscano, H. Zenil#, J.-P. Delahaye and N. Gauvrit

  Computability, vol. 2, no. 2, pp 125-140, 2013

  [online][preprint]
• 
  34 · J15

  Exploring Programmable Self-Assembly in Non DNA-based Computing

  G. Terrazas, H. Zenil and N. Krasnogor

  Natural Computing, vol 12(4): 499–515, 2013. doi:10.1007/s11047-013-9397-2

  [online][preprint]
• 
  33 · J14

  Asymptotic Behaviour and Ratios of Complexity in Cellular Automata Rule Spaces

  H. Zenil

  International Journal of Bifurcation and Chaos vol. 23, no. 9, 2013

  [online]
• 
  32 · P19

  Algorithmic complexity of motifs clusters superfamilies of networks

  H. Zenil, N.A. Kiani and J. Tegner

  IEEE International Conference on Bioinformatics and Biomedicine, pp 74 – 76, Shanghai, China 2013.

  [online]
• 
  31 · P18

  Algorithmic Complexity of Animal Behaviour: From Communication to Cognition

  H. Zenil International Conference on the Theory and Practice of Natural Computing (TPNC) 2013. Cáceres, Spain, Cáceres, Spain
• 
  30 · P17

  Fractal Dimension of Space-time Diagrams and the Runtime Complexity of Small Turing Machines

  J.J. Joosten, F. Soler-Toscano, H. Zenil In T. Neary and M. Cook (Eds.),

  Machines, Computations and Universality (MCU 2013), EPTCS 128, 2013, pp. 29-30.
• 
  29 · P16

  Testing Biological Models for Non-linear Sensitivity with a Programmability Test

  H. Zenil, G. Ball and J. Tegnér In P. Liò, O. Miglino, G. Nicosia, S. Nolfi and M. Pavone (eds),

  Advances in Artificial Intelligence, ECAL 2013, pp. 1222-1223, MIT Press, 2013. DOI:

  [online]
• 
  28 · J13

  Turing Patterns with Turing Machines: Emergence and Low-level Structure Formation

  H. Zenil

  Natural Computing, vol. 12(2): 291-303, 2013.

  [online][preprint]
• 
  27 · P15

  Sparsity of Non-trivial Proving Speed-up in Random Systems of Propositional Calculus

  S. Hernández-Orozco, F. Hernández-Quiroz and H. Zenil In Paola Bonizzoni, Vasco Brattka, Benedikt Löwe (eds.), The Nature of Computation, Logic, Algorithms, Applications, Proceedings 9th. conference Computability in Europe, CiE 2013.
• 
  26 · P14

  A Turing Test-Inspired Approach to Natural Computation

  H. Zenil In G. Primiero and L. De Mol (eds.), Turing in Context II, Historical and Contemporary Research in Logic, Computing Machinery and Artificial Intelligence. Proceedings by the Royal Flemish Academy of Belgium for Science and the Arts, Belgium, 2013.
• 
  25 · J12

  Computation and Universality: Class IV versus Class III Cellular Automata

  G.J. Martinez, J.C. Seck-Touh-Mora and H. Zenil

  Journal of Cellular Automata, vol. 7, no. 5-6, pp. 393-430, 2013

  [online]
• 
  24 · P13

  A Behavioural Foundation for Natural Computing and a Programmability Test

  H. Zenil In G. Dodig-Crnkovic and R. Giovagnoli (eds),

  Computing Nature: Turing Centenary Perspective, Springer SAPERE Series vol. 7, pp. 87-113, 2013.

  [online][preprint]
• 
  23 · P12

  Wolfram’s Classification and Computation in Cellular Automata Classes III and IV

  G.J. Martinez, J.C. Seck-Touh-Mora and H. Zenil In H. Zenil (ed), Irreducibility and Computational Equivalence: Wolfram Science 10 Years After the Publication of A New Kind of Science

  Springer, 2013

  [online]
• 
  22 · J11

  Some Aspects of Computation Essential to Evolution and Life

  H. Zenil and J.A.R. Marshall

  Ubiquity, vol. 2013, no. April, pp 1-16

  [online][preprint]
• 
  21 · P11

  El Universo Algorítmico

  H. Zenil In, O. Miramontes and K. Volke (eds.) Fronteras de la Física en el Siglo XXI, CopIt arXives

  UNAM, 2013
• 
  20 · J10

  Life as Thermodynamic Evidence of Algorithmic Structure in Natural Environments

  H. Zenil, C. Gershenson, J.A.R. Marshall and D. Rosenblueth

  Entropy, 14(11), 2173-2191, 2012

  [online]
• 
  19 · J9

  What is Nature-like Computation? A Behavioural Approach and a Notion of Programmability

  H. Zenil

  Philosophy & Technology, vol 27-3, pp 399–421, 2014. 2012).

  [online][preprint]
• 
  18 · J8

  Sloane’s Gap: Do Mathematical and Social Factors Explain the Distribution of Numbers in the OEIS?

  N. Gauvrit, J.-P. Delahaye and H. Zenil

  Journal of Humanistic Mathematics, vol. 3, no. 1, pp. 3-19, 2013.

  [online]
• 
  17 · J7

  On the Dynamic Qualitative Behaviour of Universal Computation

  H. Zenil

  Complex Systems, 20-3, pp 265-277, 2012.

  [online][preprint]
• 
  16 · J6

  Numerical Evaluation of Algorithmic Complexity of Short Strings: A Glance Into the Innermost Structure of Algorithmic Randomness

  J.-P. Delahaye and H. Zenil#^

  Applied Mathematics and Computation 219, pp. 63-77, 2012.

  [online][preprint]
• 
  15 · J5

  Empirical Encounters with Computational Irreducibility and Unpredictability

  H. Zenil, F. Soler-Toscano and J.J. Joosten

  Minds and Machines, vol. 22, Number 3, pp. 149-165, 2012.
• 
  14 · J4

  Image Characterization and Classification by Physical Complexity

  H. Zenil, J.-P. Delahaye and C. Gaucherel

  Complexity, vol. 17-3, pages 26-42, 2012

  [online]
• 
  13 · P10

  From Computer Runtimes to the Length of Proofs: With an Algorithmic Probabilistic Application to Waiting Times in Automatic Theorem Proving

  H. Zenil In M.J. Dinneen, B. Khousainov, and A. Nies (Eds.),

  Computation, Physics and Beyond International Workshop on Theoretical Computer Science, WTCS 2012, LNCS 7160, pp. 223-240, Springer, 2012.

  [online]
• 
  12 · J3

  Program-size versus Time complexity, Slowdown and speed-up phenomena in the micro-cosmos of small Turing machines

  J.J. Joosten, F. Soler Toscano and H. Zenil#

  International Journal of Unconventional Computing, vol. 7, no. 5, pp. 353-387, 2011

  [preprint][online]
• 
  11 · J2

  An Algorithmic Information-theoretic Approach to the Behaviour of Financial Markets

  H. Zenil and J.-P. Delahaye

  Journal of Economic Surveys, vol. 25-3, pp. 431-463, 2011

  [online][preprint]
• 
  10 · P9

  Fractal Dimension as an Indication of the Terminating Runtime of Discrete Dynamical Systems

  J.J. Joosten, H. Zenil and F. Soler-Toscano In S. Thurner M. Szell (eds), Löcker Verlag,

  European Conference on Complex Systems (ECCS’11), 2011.

  [online]
• 
  9 · P8

  Un método estable para la evaluación de la complejidad algorítmica de cadenas cortas (A Stable Method for the Evaluation of the Algorithmic Complexity of Short Strings).

  H. Zenil, and J.-P. Delahaye In G.J. Martinez, H. Zenil and C.R. Stevens (eds), Complex Systems as Computing Models

  Luniver Press, 2011.

  [preprint]
• 
  8 · P7

  Complejidad descriptiva y computacional en máquinas de Turing pequeñas

  J.J. Joosten, F. Soler-Toscano, H. Zenil# In Lógica Universal e Unidade da Ciência

  Centro de Filosofia das Ciências da Universidade de Lisboa, pp. 11–32, 2011.

  [preprint][preprint]
• 
  7 · P6

  An Algorithmic Information-theoretic Approach to the Behaviour of Financial Markets.

  H. Zenil and J.-P. Delahaye In S. Zambelli, D.A.R. George (eds.) Nonlinearity, Complexity and Randomness in Economics: Towards Algorithmic Foundations for Economics

  Wiley-Blackwell, 2011.

  [preprint]
• 
  6 · P5

  Complejidad descriptiva y computacional en máquinas de Turing pequeñas

  J.J. Joosten, F. Soler-Toscano and H. Zenil Actas de las V Jornadas Ibéricas, Lógica Universal e Unidade da Ciência

  CFCU 2010.

  [online]
• 
  5 · P4

  Program-size versus Time complexity, Slowdown and speed-up phenomena in the micro-cosmos of small Turing machines

  J.J. Joosten, F. Soler-Toscano and H. Zenil In H. Guerra (ed.). Physics and Computation 2010, CAMIT, 3rd International Workshop on Physics and Computation 2010. [online]

  [online]
• 
  4 · P3

  On the Algorithmic Nature of the World

  H. Zenil and J-P. Delahaye In G. Dodig-Crnkovic and M. Burgin (eds), Information and Computation

  World Scientific Publishing Company, 2010.

  [preprint]
• 
  3 · J1

  Compression-based Investigation of the Dynamical Properties of Cellular Automata and Other Systems

  H. Zenil

  Complex Systems, vol. 19, No. 1, pp. 1-28, 2010.
• 
  2 · P2

  On the Kolmogorov-Chaitin complexity for short sequences

  J-P. Delahaye and H. Zenil# In C. Calude (ed) Randomness and Complexity: From Leibniz to Chaitin

  World Scientific Publishing Company, 2007.

  [online]
• 
  1 · P1

  On the Possible Computational Power of the Human Mind

  H. Zenil and F. Hernandez-Quiroz In

  Worldviews, Science and Us, Philosophy and Complexity, C. Gershenson, D. Aerts, and B. Edmonds (eds), World Scientific Publishing Company, 2007.

  [online]