Literature DB >> 33286182

How Incomputable Is Kolmogorov Complexity?

Paul M B Vitányi1,2.   

Abstract

Kolmogorov complexity is the length of the ultimately compressed version of a file (i.e., anything which can be put in a computer). Formally, it is the length of a shortest program from which the file can be reconstructed. We discuss the incomputability of Kolmogorov complexity, which formal loopholes this leaves us with, recent approaches to compute or approximate Kolmogorov complexity, which approaches are problematic, and which approaches are viable.

Entities:  

Keywords:  Kolmogorov complexity; feasibility; incomputability

Year:  2020        PMID: 33286182      PMCID: PMC7516884          DOI: 10.3390/e22040408

Source DB:  PubMed          Journal:  Entropy (Basel)        ISSN: 1099-4300            Impact factor:   2.524


  2 in total

1.  Similarity and denoising.

Authors:  Paul M B Vitányi
Journal:  Philos Trans A Math Phys Eng Sci       Date:  2012-12-31       Impact factor: 4.226

2.  Calculating Kolmogorov complexity from the output frequency distributions of small Turing machines.

Authors:  Fernando Soler-Toscano; Hector Zenil; Jean-Paul Delahaye; Nicolas Gauvrit
Journal:  PLoS One       Date:  2014-05-08       Impact factor: 3.240

  2 in total
  5 in total

1.  A Multiscale Partition-Based Kolmogorov-Sinai Entropy for the Complexity Assessment of Heartbeat Dynamics.

Authors:  Andrea Scarciglia; Vincenzo Catrambone; Claudio Bonanno; Gaetano Valenza
Journal:  Bioengineering (Basel)       Date:  2022-02-16

2.  Consistent Quantification of Complex Dynamics via a Novel Statistical Complexity Measure.

Authors:  Frank Keul; Kay Hamacher
Journal:  Entropy (Basel)       Date:  2022-04-04       Impact factor: 2.738

3.  Ladderpath Approach: How Tinkering and Reuse Increase Complexity and Information.

Authors:  Yu Liu; Zengru Di; Philip Gerlee
Journal:  Entropy (Basel)       Date:  2022-08-05       Impact factor: 2.738

4.  Kolmogorov Basic Graphs and Their Application in Network Complexity Analysis.

Authors:  Amirmohammad Farzaneh; Justin P Coon; Mihai-Alin Badiu
Journal:  Entropy (Basel)       Date:  2021-11-29       Impact factor: 2.524

5.  Computational Creativity and Aesthetics with Algorithmic Information Theory.

Authors:  Tiasa Mondol; Daniel G Brown
Journal:  Entropy (Basel)       Date:  2021-12-08       Impact factor: 2.524

  5 in total

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