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Complexity and Kolmogorov complexity

Shortcuts: Differences, Similarities, Jaccard Similarity Coefficient, References.

Difference between Complexity and Kolmogorov complexity

Complexity vs. Kolmogorov complexity

Complexity characterises the behaviour of a system or model whose components interact in multiple ways and follow local rules, meaning there is no reasonable higher instruction to define the various possible interactions. In algorithmic information theory (a subfield of computer science and mathematics), the Kolmogorov complexity of an object, such as a piece of text, is the length of the shortest computer program (in a predetermined programming language) that produces the object as output.

Similarities between Complexity and Kolmogorov complexity

Complexity and Kolmogorov complexity have 11 things in common (in Unionpedia): Algorithmic information theory, Andrey Kolmogorov, Blum axioms, Computer program, Entropy (information theory), Mathematics, Probability, Randomness, String (computer science), Turing completeness, Turing machine.

Algorithmic information theory

Algorithmic information theory is a subfield of information theory and computer science that concerns itself with the relationship between computation and information.

Algorithmic information theory and Complexity · Algorithmic information theory and Kolmogorov complexity · See more »

Andrey Kolmogorov

Andrey Nikolaevich Kolmogorov (a, 25 April 1903 – 20 October 1987) was a 20th-century Soviet mathematician who made significant contributions to the mathematics of probability theory, topology, intuitionistic logic, turbulence, classical mechanics, algorithmic information theory and computational complexity.

Andrey Kolmogorov and Complexity · Andrey Kolmogorov and Kolmogorov complexity · See more »

Blum axioms

In computational complexity theory the Blum axioms or Blum complexity axioms are axioms that specify desirable properties of complexity measures on the set of computable functions.

Blum axioms and Complexity · Blum axioms and Kolmogorov complexity · See more »

Computer program

A computer program is a collection of instructions for performing a specific task that is designed to solve a specific class of problems.

Complexity and Computer program · Computer program and Kolmogorov complexity · See more »

Entropy (information theory)

Information entropy is the average rate at which information is produced by a stochastic source of data.

Complexity and Entropy (information theory) · Entropy (information theory) and Kolmogorov complexity · See more »

Mathematics

Mathematics (from Greek μάθημα máthēma, "knowledge, study, learning") is the study of such topics as quantity, structure, space, and change.

Complexity and Mathematics · Kolmogorov complexity and Mathematics · See more »

Probability

Probability is the measure of the likelihood that an event will occur.

Complexity and Probability · Kolmogorov complexity and Probability · See more »

Randomness

Randomness is the lack of pattern or predictability in events.

Complexity and Randomness · Kolmogorov complexity and Randomness · See more »

String (computer science)

In computer programming, a string is traditionally a sequence of characters, either as a literal constant or as some kind of variable.

Complexity and String (computer science) · Kolmogorov complexity and String (computer science) · See more »

Turing completeness

In computability theory, a system of data-manipulation rules (such as a computer's instruction set, a programming language, or a cellular automaton) is said to be Turing complete or computationally universal if it can be used to simulate any Turing machine.

Complexity and Turing completeness · Kolmogorov complexity and Turing completeness · See more »

Turing machine

A Turing machine is a mathematical model of computation that defines an abstract machine, which manipulates symbols on a strip of tape according to a table of rules.

Complexity and Turing machine · Kolmogorov complexity and Turing machine · See more »

The list above answers the following questions

Complexity and Kolmogorov complexity Comparison

Complexity has 112 relations, while Kolmogorov complexity has 71. As they have in common 11, the Jaccard index is 6.01% = 11 / (112 + 71).

References

This article shows the relationship between Complexity and Kolmogorov complexity. To access each article from which the information was extracted, please visit:

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