Is there any Cartesian-closed category of continuous domains that would beclosed under Jones and Plotkin's probabilistic powerdomain construction? Thisis a major open problem in the area of denotational semantics of probabilistichigher-order languages. We relax the question, and look for quasi-continuousdcpos instead. We introduce a natural class of such quasi-continuous dcpos, theomega-QRB-domains. We show that they form a category omega-QRB with pleasingproperties: omega-QRB is closed under the probabilistic powerdomain functor,under finite products, under taking bilimits of expanding sequences, underretracts, and even under so-called quasi-retracts. But... omega-QRB is notCartesian closed. We conclude by showing that the QRB domains are ...
Introduction We show that the probabilistic powerdomain of a Lawson-compact continuous domain is ag...
AbstractIn this paper we consider Milner's calculus CCS enriched by a probabilistic choice operator....
This paper studies how to adjoin probability to event structures, leading to the model of probabilis...
AbstractIn [12] it is shown that the probabilistic powerdomain of a continuous domain is again conti...
AbstractWe show that the first author's QRB-domains coincide with Li and Xu's QFS-domains, and also ...
We show that the first author’s QRB-domains coincide with Li and Xu’s QFS-domains, and also with Law...
AbstractWe show that the first author's QRB-domains coincide with Li and Xu's QFS-domains, and also ...
International audienceThe probabilistic powerdomain VX on a space X is the space of all continuous v...
International audienceThe probabilistic powerdomain VX on a space X is the space of all continuous v...
International audienceThe probabilistic powerdomain VX on a space X is the space of all continuous v...
International audienceThe probabilistic powerdomain VX on a space X is the space of all continuous v...
Abstract. In this paper we explore discrete random variables over domains. We show that these lead t...
We give an adequate denotational semantics for languages with recursive higher-order types, continuo...
AbstractWe present domain-theoretic models that support both probabilistic and nondeterministic choi...
Much of theoretical computer science is based on use of inductive complete partially ordered sets (o...
Introduction We show that the probabilistic powerdomain of a Lawson-compact continuous domain is ag...
AbstractIn this paper we consider Milner's calculus CCS enriched by a probabilistic choice operator....
This paper studies how to adjoin probability to event structures, leading to the model of probabilis...
AbstractIn [12] it is shown that the probabilistic powerdomain of a continuous domain is again conti...
AbstractWe show that the first author's QRB-domains coincide with Li and Xu's QFS-domains, and also ...
We show that the first author’s QRB-domains coincide with Li and Xu’s QFS-domains, and also with Law...
AbstractWe show that the first author's QRB-domains coincide with Li and Xu's QFS-domains, and also ...
International audienceThe probabilistic powerdomain VX on a space X is the space of all continuous v...
International audienceThe probabilistic powerdomain VX on a space X is the space of all continuous v...
International audienceThe probabilistic powerdomain VX on a space X is the space of all continuous v...
International audienceThe probabilistic powerdomain VX on a space X is the space of all continuous v...
Abstract. In this paper we explore discrete random variables over domains. We show that these lead t...
We give an adequate denotational semantics for languages with recursive higher-order types, continuo...
AbstractWe present domain-theoretic models that support both probabilistic and nondeterministic choi...
Much of theoretical computer science is based on use of inductive complete partially ordered sets (o...
Introduction We show that the probabilistic powerdomain of a Lawson-compact continuous domain is ag...
AbstractIn this paper we consider Milner's calculus CCS enriched by a probabilistic choice operator....
This paper studies how to adjoin probability to event structures, leading to the model of probabilis...