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03/28/2023
Optimal Spatial Deconvolution and Message Reconstruction from a Large Generative Model of Models
We introduce a general-purpose univariate signal deconvolution method ba...
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09/30/2022
On the Salient Limitations of the Methods of Assembly Theory and their Classification of Molecular Biosignatures
A recently introduced approach termed "Assembly Theory", featuring a com...
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12/25/2021
Algorithmic Information Dynamics of Cellular Automata
We illustrate an application of Algorithmic Information Dynamics to Cell...
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12/22/2021
Algorithmic Probability of Large Datasets and the Simplicity Bubble Problem in Machine Learning
When mining large datasets in order to predict new data, limitations of ...
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12/22/2021
Computable Model Discovery and High-Level-Programming Approximations to Algorithmic Complexity
Motivated by algorithmic information theory, the problem of program disc...
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12/06/2021
Simulation Intelligence: Towards a New Generation of Scientific Methods
The original "Seven Motifs" set forth a roadmap of essential methods for...
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09/15/2021
A Computable Piece of Uncomputable Art whose Expansion May Explain the Universe in Software Space
At the intersection of what I call uncomputable art and computational ep...
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05/31/2021
Emergence and algorithmic information dynamics of systems and observers
Previous work has shown that perturbation analysis in software space can...
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09/12/2020
An Algorithmic Information Distortion in Multidimensional Networks
Network complexity, network information content analysis, and lossless c...
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03/24/2020
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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03/24/2020
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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03/24/2020
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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03/24/2020
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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02/03/2020
Evolving Neural Networks through a Reverse Encoding Tree
NeuroEvolution is one of the most competitive evolutionary learning fram...
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10/07/2019
Algorithmic Probability-guided Supervised Machine Learning on Non-differentiable Spaces
We show how complexity theory can be introduced in machine learning to h...
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04/23/2019
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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11/14/2018
Controllability, Multiplexing, and Transfer Learning in Networks using Evolutionary Learning
Networks are fundamental building blocks for representing data, and comp...
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05/18/2018
An Algorithmic Refinement of Maxent Induces a Thermodynamic-like Behaviour in the Reprogrammability of Generative Mechanisms
Reprogramming a generative mechanism to produce a different object is as...
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02/24/2018
Symmetry and Algorithmic Complexity of Polyominoes and Polyhedral Graphs
We introduce a definition of algorithmic symmetry able to capture essent...
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02/18/2018
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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02/18/2018
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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02/16/2018
Algorithmic Complexity and Reprogrammability of Chemical Structure Networks
Here we address the challenge of profiling causal properties and trackin...
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02/16/2018
Parameter-free 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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11/06/2017
Coding-theorem Like Behaviour and Emergence of the Universal Distribution from Resource-bounded Algorithmic Probability
Previously referred to as 'miraculous' because of its surprisingly power...
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09/01/2017
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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06/01/2017
Paths to Unconventional Computing: Causality in Complexity
I describe my path to unconventionality in my exploration of theoretical...
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04/02/2017
Reprogramming Matter, Life, and Purpose
Reprogramming matter may sound far-fetched, but we have been doing it wi...
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07/06/2016
Formal Definitions of Unbounded Evolution and Innovation Reveal Universal Mechanisms for Open-Ended Evolution in Dynamical Systems
Open-ended evolution (OEE) is relevant to a variety of biological, artif...
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06/06/2016
Undecidability and Irreducibility Conditions for Open-Ended Evolution and Emergence
Is undecidability a requirement for open-ended evolution (OEE)? Using me...
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12/23/2015
Interacting Behavior and Emerging Complexity
Can we quantify the change of complexity throughout evolutionary process...
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09/14/2015
Natural scene statistics mediate the perception of image complexity
Humans are sensitive to complexity and regularity in patterns. The subje...
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08/24/2015
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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06/14/2015
Rare Speed-up 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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02/05/2014
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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09/25/2013
Exploring Programmable Self-Assembly in Non-DNA based Molecular Computing
Self-assembly is a phenomenon observed in nature at all scales where aut...
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03/23/2013
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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05/15/2006