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Algorithmically random sequence and Halting problem

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

Difference between Algorithmically random sequence and Halting problem

Algorithmically random sequence vs. Halting problem

Intuitively, an algorithmically random sequence (or random sequence) is a sequence of binary digits that appears random to any algorithm running on a (prefix-free or not) universal Turing machine. In computability theory, the halting problem is the problem of determining, from a description of an arbitrary computer program and an input, whether the program will finish running, or continue to run forever.

Similarities between Algorithmically random sequence and Halting problem

Algorithmically random sequence and Halting problem have 13 things in common (in Unionpedia): Alonzo Church, Arithmetical hierarchy, Chaitin's constant, Church–Turing thesis, Computability, Computably enumerable set, Gregory Chaitin, Kolmogorov complexity, Normal number, Oracle machine, Turing degree, Turing reduction, Universal Turing machine.

Alonzo Church

Alonzo Church (June 14, 1903 – August 11, 1995) was an American mathematician, computer scientist, logician, and philosopher who made major contributions to mathematical logic and the foundations of theoretical computer science.

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Arithmetical hierarchy

In mathematical logic, the arithmetical hierarchy, arithmetic hierarchy or Kleene–Mostowski hierarchy (after mathematicians Stephen Cole Kleene and Andrzej Mostowski) classifies certain sets based on the complexity of formulas that define them.

Algorithmically random sequence and Arithmetical hierarchy · Arithmetical hierarchy and Halting problem · See more »

Chaitin's constant

In the computer science subfield of algorithmic information theory, a Chaitin constant (Chaitin omega number) or halting probability is a real number that, informally speaking, represents the probability that a randomly constructed program will halt.

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Church–Turing thesis

In computability theory, the Church–Turing thesis (also known as computability thesis, the Turing–Church thesis, the Church–Turing conjecture, Church's thesis, Church's conjecture, and Turing's thesis) is a thesis about the nature of computable functions.

Algorithmically random sequence and Church–Turing thesis · Church–Turing thesis and Halting problem · See more »

Computability

Computability is the ability to solve a problem in an effective manner.

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Computably enumerable set

In computability theory, a set S of natural numbers is called computably enumerable (c.e.), recursively enumerable (r.e.), semidecidable, partially decidable, listable, provable or Turing-recognizable if.

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Gregory Chaitin

Gregory John Chaitin (born 25 June 1947) is an Argentine-American mathematician and computer scientist.

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Kolmogorov complexity

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 a shortest computer program (in a predetermined programming language) that produces the object as output.

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Normal number

In mathematics, a real number is said to be simply normal in an integer base b if its infinite sequence of digits is distributed uniformly in the sense that each of the b digit values has the same natural density 1/b.

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Oracle machine

In complexity theory and computability theory, an oracle machine is an abstract machine used to study decision problems.

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Turing degree

In computer science and mathematical logic the Turing degree (named after Alan Turing) or degree of unsolvability of a set of natural numbers measures the level of algorithmic unsolvability of the set.

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Turing reduction

In computability theory, a Turing reduction from a decision problem A to a decision problem B is an oracle machine that decides problem A given an oracle for B (Rogers 1967, Soare 1987).

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Universal Turing machine

In computer science, a universal Turing machine (UTM) is a Turing machine capable of computing any computable sequence, as described by Alan Turing in his seminal paper "On Computable Numbers, with an Application to the Entscheidungsproblem".

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The list above answers the following questions

Algorithmically random sequence and Halting problem Comparison

Algorithmically random sequence has 51 relations, while Halting problem has 102. As they have in common 13, the Jaccard index is 8.50% = 13 / (51 + 102).

References

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