AbstractThis paper uses quick process machines to provide characterisations of computable randomness, Schnorr randomness and weak randomness. The quick process machine is a type of process machine first considered in work of Levin and Zvonkin. A new technique for building process machines and quick process machines is presented. This technique is similar to the KC theorem for prefix-free machines. Using this technique, a method of translating computable martingales to quick process machines is given. This translation forms the basis for these new randomness characterisations. Quick process machines are also used to provide characterisations of computable randomness, Schnorr randomness, and weak randomness in terms of truth-table reducibilit...
Random number generators are widely used in practical algorithms. Examples include simulation, numbe...
Abstract. There are two fundamental computably enumerable sets associated with any Kolmogorov comple...
In this dissertation we consider two different notions of randomness and their applica-tions to prob...
AbstractThis paper uses quick process machines to provide characterisations of computable randomness...
By flipping a coin repeatedly and recording the result, we can create a sequence that intuitively is...
examine the randomness and triviality of reals using notions arising from martingales and prefix-fre...
The notion of Schnorr randomness refers to computable reals or computablefunctions. We propose a ver...
This thesis establishes significant new results in the area of algorithmic randomness. These results...
AbstractSchnorr randomness is a notion of algorithmic randomness for real numbers closely related to...
Schnorr randomness is a randomness notion based on Brouwer's concept of a "constructive null set." ...
This paper offers some new results on randomness with respect to classes of measures, along with a d...
Abstract. In algorithmic randomness, when one wants to define a ran-domness notion with respect to s...
Is it possible to determine what randomness is let alone measure and classify it? Can random number ...
Giuseppe Longo. Randomness and Determination, from Physics and Computing towards Biology. Invited L...
AbstractThere are two fundamental computably enumerable sets associated with any Kolmogorov complexi...
Random number generators are widely used in practical algorithms. Examples include simulation, numbe...
Abstract. There are two fundamental computably enumerable sets associated with any Kolmogorov comple...
In this dissertation we consider two different notions of randomness and their applica-tions to prob...
AbstractThis paper uses quick process machines to provide characterisations of computable randomness...
By flipping a coin repeatedly and recording the result, we can create a sequence that intuitively is...
examine the randomness and triviality of reals using notions arising from martingales and prefix-fre...
The notion of Schnorr randomness refers to computable reals or computablefunctions. We propose a ver...
This thesis establishes significant new results in the area of algorithmic randomness. These results...
AbstractSchnorr randomness is a notion of algorithmic randomness for real numbers closely related to...
Schnorr randomness is a randomness notion based on Brouwer's concept of a "constructive null set." ...
This paper offers some new results on randomness with respect to classes of measures, along with a d...
Abstract. In algorithmic randomness, when one wants to define a ran-domness notion with respect to s...
Is it possible to determine what randomness is let alone measure and classify it? Can random number ...
Giuseppe Longo. Randomness and Determination, from Physics and Computing towards Biology. Invited L...
AbstractThere are two fundamental computably enumerable sets associated with any Kolmogorov complexi...
Random number generators are widely used in practical algorithms. Examples include simulation, numbe...
Abstract. There are two fundamental computably enumerable sets associated with any Kolmogorov comple...
In this dissertation we consider two different notions of randomness and their applica-tions to prob...