(eng) We explain the basics of the theory of the Kolmogorov complexity}, also known as algorithmic information theory, and underline the main differences between the Kolmogorov complexity and Kolmogorov prefix complexity. Then, we introduce the definition of randomness for either finite or infinite words according to P. Martin-Löf and show that it is equivalent to the notion of uncompressibility defined via Kolmogorov complexity.(fre) Nous expliquons les bases de la théorie de la complexité de Kolmogorov ou théorie algorithmique de l'information. On analyse en particulier les différences et les ressemblances entre la complexité de Kolmogorov et sa variante dite complexité préfixe. Ensuite, nous introduisons une définition d'un mot aléatoire...
We introduce randomized time-bounded Kolmogorov complexity (rKt), a natural extension of Levin's not...
Abstract: We study a time bounded variant of Kolmogorov complexity. This motion, together with unive...
We clarify the role of Kolmogorov complexity in the area of randomness extraction. We show that a co...
We explain the basics of the theory of the Kolmogorov complexity}, also known as algorithmic informa...
This document contains lecture notes of an introductory course on Kolmogorov complexity. They cover ...
In 1964 Kolmogorov introduced the concept of the complexity of a finite object (for instance, the wo...
The article further develops Kolmogorov's algorithmic complexity theory. The definition of randomnes...
The resource bounded Kolmogorov complexity classes identify finite strings (and by extension infini...
textabstractWe study the set of incompressible strings for various resource bounded versions of Kolm...
We introduce algorithmic information theory, also known as the theory of Kolmogorov complexity. We e...
Although information content is invariant up to an additive constant, the range of possible additive...
We introduce randomized time-bounded Kolmogorov complexity (rKt), a natural extension of Levin\u27s ...
This work is a survey about the definition of “random sequence”. We emphasize the definition of Mart...
Abstract. One of the major open problems in the field of effective randomness is whether Martin-Löf ...
In contrast to statistical entropy which measures the quantity of information in an average object ...
We introduce randomized time-bounded Kolmogorov complexity (rKt), a natural extension of Levin's not...
Abstract: We study a time bounded variant of Kolmogorov complexity. This motion, together with unive...
We clarify the role of Kolmogorov complexity in the area of randomness extraction. We show that a co...
We explain the basics of the theory of the Kolmogorov complexity}, also known as algorithmic informa...
This document contains lecture notes of an introductory course on Kolmogorov complexity. They cover ...
In 1964 Kolmogorov introduced the concept of the complexity of a finite object (for instance, the wo...
The article further develops Kolmogorov's algorithmic complexity theory. The definition of randomnes...
The resource bounded Kolmogorov complexity classes identify finite strings (and by extension infini...
textabstractWe study the set of incompressible strings for various resource bounded versions of Kolm...
We introduce algorithmic information theory, also known as the theory of Kolmogorov complexity. We e...
Although information content is invariant up to an additive constant, the range of possible additive...
We introduce randomized time-bounded Kolmogorov complexity (rKt), a natural extension of Levin\u27s ...
This work is a survey about the definition of “random sequence”. We emphasize the definition of Mart...
Abstract. One of the major open problems in the field of effective randomness is whether Martin-Löf ...
In contrast to statistical entropy which measures the quantity of information in an average object ...
We introduce randomized time-bounded Kolmogorov complexity (rKt), a natural extension of Levin's not...
Abstract: We study a time bounded variant of Kolmogorov complexity. This motion, together with unive...
We clarify the role of Kolmogorov complexity in the area of randomness extraction. We show that a co...