
An Algorithmic Information Distortion in Multidimensional Networks
Network complexity, network information content analysis, and lossless c...
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A Review of Methods for Estimating Algorithmic Complexity: Options, Challenges, and New Directions
Established and novel techniques in the field of applications of algorit...
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A Review of Methods for Estimating Algorithmic Complexity and Beyond: Options, Challenges, and New Directions
I review previous and novel techniques in the field of applications of a...
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A Review of Methods for Estimating Algorithmic Complexity and Beyond: Options, and Challenges
I review previous and novel techniques in the field of applications of a...
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A Review of Methods for Estimating Algorithmic Complexity: Options, and Challenges
I review previous and novel techniques in the field of applications of a...
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Evolving Neural Networks through a Reverse Encoding Tree
NeuroEvolution is one of the most competitive evolutionary learning fram...
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Algorithmic Probabilityguided Supervised Machine Learning on Nondifferentiable Spaces
We show how complexity theory can be introduced in machine learning to h...
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Compression is Comprehension, and the Unreasonable Effectiveness of Digital Computation in the Natural World
Chaitin's work, in its depth and breadth, encompasses many areas of scie...
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Controllability, Multiplexing, and Transfer Learning in Networks using Evolutionary Learning
Networks are fundamental building blocks for representing data, and comp...
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An Algorithmic Refinement of Maxent Induces a Thermodynamiclike Behaviour in the Reprogrammability of Generative Mechanisms
Reprogramming a generative mechanism to produce a different object is as...
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Symmetry and Algorithmic Complexity of Polyominoes and Polyhedral Graphs
We introduce a definition of algorithmic symmetry able to capture essent...
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Ab initio Algorithmic Causal Deconvolution of Intertwined Programs and Networks by Generative Mechanism
To extract and learn representations leading to generative mechanisms fr...
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Algorithmic Information Dynamics of Persistent Patterns and Colliding Particles in the Game of Life
We demonstrate the way to apply and exploit the concept of algorithmic i...
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Algorithmic Complexity and Reprogrammability of Chemical Structure Networks
Here we address the challenge of profiling causal properties and trackin...
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Parameterfree Network Sparsification and Data Reduction by Minimal Algorithmic Information Loss
The study of large and complex datasets, or big data, organized as netwo...
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Codingtheorem Like Behaviour and Emergence of the Universal Distribution from Resourcebounded Algorithmic Probability
Previously referred to as 'miraculous' because of its surprisingly power...
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Algorithmically probable mutations reproduce aspects of evolution such as convergence rate, genetic memory, modularity, diversity explosions, and mass extinction
Natural selection explains how life has evolved over millions of years f...
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Paths to Unconventional Computing: Causality in Complexity
I describe my path to unconventionality in my exploration of theoretical...
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Reprogramming Matter, Life, and Purpose
Reprogramming matter may sound farfetched, but we have been doing it wi...
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Formal Definitions of Unbounded Evolution and Innovation Reveal Universal Mechanisms for OpenEnded Evolution in Dynamical Systems
Openended evolution (OEE) is relevant to a variety of biological, artif...
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Undecidability and Irreducibility Conditions for OpenEnded Evolution and Emergence
Is undecidability a requirement for openended evolution (OEE)? Using me...
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Interacting Behavior and Emerging Complexity
Can we quantify the change of complexity throughout evolutionary process...
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Natural scene statistics mediate the perception of image complexity
Humans are sensitive to complexity and regularity in patterns. The subje...
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Causality, Information and Biological Computation: An algorithmic software approach to life, disease and the immune system
Biology has taken strong steps towards becoming a computer science aimin...
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Rare Speedup in Automatic Theorem Proving Reveals Tradeoff Between Computational Time and Information Value
We show that strategies implemented in automatic theorem proving involve...
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Levels of Abstraction and the Apparent Contradictory Philosophical Legacy of Turing and Shannon
In a recent article, Luciano Floridi explains his view of Turing's legac...
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Exploring Programmable SelfAssembly in NonDNA based Molecular Computing
Selfassembly is a phenomenon observed in nature at all scales where aut...
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A Behavioural Foundation for Natural Computing and a Programmability Test
What does it mean to claim that a physical or natural system computes? O...
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On the possible Computational Power of the Human Mind
The aim of this paper is to address the question: Can an artificial neur...
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Hector Zenil
verfied profile
Lab Leader  Senior Researcher, Lab Coleader / Assistant Professor at Karolinska Institutet, Director at Algorithmic Nature Lab  LABORES, Senior Research Associate at Wolfram Research, Senior Researcher, Faculty Member at University of Oxford from 20132016, Visiting Professor at National University of Singapore 2014, Research associate at University of Sheffield from 20112013, Visiting scholar at Carnegie Mellon University 2008, Visiting Scholar at Massachusetts Institute of Technology (MIT) 2007, IT Consultant at KPMG Consulting from 19992001