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Universal recursively enumerable sets of strings

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TLDR
The main topics of the present work are universal machines for plain and prefix-free description complexity and their domains and the question whether every domain of a universal plain machine is the superset of the domain of some universal prefix- free machine is discussed.
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This article is published in Theoretical Computer Science.The article was published on 2011-05-01 and is currently open access. It has received 14 citations till now. The article focuses on the topics: Recursively enumerable language & Turing machine.

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Citations
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Journal ArticleDOI

Generic algorithms for halting problem and optimal machines revisited

TL;DR: It is shown that the fraction of terminating programs cannot have a limit, and all limit points are Martin-L\"of random reals", which means that the halting problem cannot be solved for "most" inputs.
Posted ContentDOI

Universality and Almost Decidability

TL;DR: It is proved the existence of infinitely many universal functions whose halting sets are generic (negligible, i.e. have density zero) and (not) almost decidable.
Journal ArticleDOI

Universality and Almost Decidability

TL;DR: It is proved the existence of infinitely many universal functions whose halting sets are generic negligible, i.e. have density zero and not almost decidable andolves an open problem in [9].
Posted Content

Aspects of Chaitin's Omega.

George Barmpalias
- 25 Jul 2017 - 
TL;DR: The purpose of this survey is to expose developments and tell a story about Omega, which outlines its multifaceted mathematical properties and roles in algorithmic randomness.
Book ChapterDOI

What Percentage of Programs Halt

TL;DR: It is shown that the ratio of the number of halting programs of length at most n by the total number of such programs does not have a limit value, and the reals which can be the limsup of such a sequence are further characterised.
References
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Book

An Introduction to Kolmogorov Complexity and Its Applications

TL;DR: The Journal of Symbolic Logic as discussed by the authors presents a thorough treatment of the subject with a wide range of illustrative applications such as the randomness of finite objects or infinite sequences, Martin-Loef tests for randomness, information theory, computational learning theory, the complexity of algorithms, and the thermodynamics of computing.

An Introduction to Kolmogorov Complexity and Its Applications

TL;DR: The book presents a thorough treatment of the central ideas and their applications of Kolmogorov complexity with a wide range of illustrative applications, and will be ideal for advanced undergraduate students, graduate students, and researchers in computer science, mathematics, cognitive sciences, philosophy, artificial intelligence, statistics, and physics.
Journal ArticleDOI

The definition of random sequences

TL;DR: It is shown that the random elements as defined by Kolmogorov possess all conceivable statistical properties of randomness and can equivalently be considered as the elements which withstand a certain universal stochasticity test.
Book

Classical recursion theory

TL;DR: Theories of Recursive functions, Hierarchies of recursive functions, and Arithmetical sets: Recursively enumerable sets.
Book

Algorithmic Information Theory

TL;DR: This paper reviews algorithmic information theory, which is an attempt to apply information-theoretic and probabilistic ideas to recursive function theory.