Results 11 to 20 of about 29,432 (243)

Novel measures based on the Kolmogorov complexity for use in complex system behavior studies and time series analysis

open access: yesOpen Physics, 2015
We propose novel metrics based on the Kolmogorov complexity for use in complex system behavior studies and time series analysis. We consider the origins of the Kolmogorov complexity and discuss its physical meaning. To get better insights into the nature
Mihailović Dragutin T.   +3 more
doaj   +2 more sources

Semantic Algorithmic Information Theory: From Kolmogorov Complexity to Semantic Equivalence [PDF]

open access: yesEntropy
Classical Algorithmic Information Theory (AIT) provides a rigorous foundation for information-based similarity measurement, but classical formulations and their compression-based approximations largely operate at the syntactic level, making them ...
Jiatong Wu   +4 more
doaj   +2 more sources

Entropy Measures vs. Kolmogorov Complexity

open access: yesEntropy, 2011
Kolmogorov complexity and Shannon entropy are conceptually different measures. However, for any recursive probability distribution, the expected value of Kolmogorov complexity equals its Shannon entropy, up to a constant.
Luís Antunes   +3 more
doaj   +3 more sources

Exploring Overall and Component Complexities via Relative Complexity Change and Interacting Complexity Amplitudes in the Kolmogorov Plane: A Case Study of U.S. Rivers [PDF]

open access: yesEntropy
One of the most challenging tasks in studying streamflow is quantifying how the complexities of environmental and dynamic parameters contribute to the overall system complexity.
Dragutin T. Mihailović   +1 more
doaj   +2 more sources

The Boltzmann Entropy and Randomness Tests [PDF]

open access: yesEntropy
In the context of the dynamical systems of classical mechanics, we introduce two new notions called “algorithmic fine-grain and coarse-grain entropy”.
Peter Gács
doaj   +2 more sources

Quantum Kolmogorov complexity [PDF]

open access: yesProceedings 15th Annual IEEE Conference on Computational Complexity, 2001
14 pages, LaTeX2e, no figures, \usepackage{amssymb,a4wide}.
Berthiaume, A.   +2 more
openaire   +4 more sources

List Approximation for Increasing Kolmogorov Complexity

open access: yesAxioms, 2021
It is impossible to effectively modify a string in order to increase its Kolmogorov complexity. However, is it possible to construct a few strings, no longer than the input string, so that most of them have larger complexity?
Marius Zimand
doaj   +1 more source

Kolmogorov Basic Graphs and Their Application in Network Complexity Analysis

open access: yesEntropy, 2021
Throughout the years, measuring the complexity of networks and graphs has been of great interest to scientists. The Kolmogorov complexity is known as one of the most important tools to measure the complexity of an object.
Amirmohammad Farzaneh   +2 more
doaj   +1 more source

Combinatorics and Kolmogorov complexity [PDF]

open access: yes[1991] Proceedings of the Sixth Annual Structure in Complexity Theory Conference, 2002
The authors investigate combinatorial properties of finite sequences with high Kolmogorov complexity. They also demonstrate the utility of a Kolmogorov complexity method in combinatorial theory by several examples (such as the coin-weighing problem). >
Ming Li 0001, Paul M. B. Vitányi
openaire   +1 more source

Second quantised information distance

open access: yesIET Quantum Communication, 2023
The Kolmogorov complexity of a string is the minimum length of a programme that can produce that string. Information distance between two strings based on Kolmogorov complexity is defined as the minimum length of a programme that can transform either ...
Songsong Dai
doaj   +1 more source

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