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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
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Semantic Algorithmic Information Theory: From Kolmogorov Complexity to Semantic Equivalence [PDF]
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
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Entropy Measures vs. Kolmogorov Complexity
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
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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]
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
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The Boltzmann Entropy and Randomness Tests [PDF]
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
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Quantum Kolmogorov complexity [PDF]
14 pages, LaTeX2e, no figures, \usepackage{amssymb,a4wide}.
Berthiaume, A. +2 more
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List Approximation for Increasing Kolmogorov Complexity
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
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Kolmogorov Basic Graphs and Their Application in Network Complexity Analysis
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
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Combinatorics and Kolmogorov complexity [PDF]
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
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Second quantised information distance
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
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