AbstractWe generalise the classical notion of stationary distributions of Markov processes to a model of probabilistic programs which includes demonic nondeterminism. As well as removing some of the conditions normally required for stationarity, our generalisation allows the development of a complete theory linking stationary behaviour to long-term average behaviour — the latter being an important property that lies outside the expressive range of standard logics for probabilistic programs
The work is supported by the EPSRC. Abstract. In this paper we show how quantitative program logic [...
We dene probabilistic languages and probabilistic automata over a nite set of events. We also dene o...
We introduce a probabilistic extension of KLAIM, where the behaviour of networks and individual node...
AbstractWe generalise the classical notion of stationary distributions of Markov processes to a mode...
Probabilistic logic programs combine the power of a programming language with a possible world sema...
Early support for reasoning about probabilistic system behaviour replaced nondeterminism with probab...
AbstractThis paper introduces a general framework of probabilistic and nondeterministic recursive pr...
AbstractThis paper presents two complementary but equivalent semantics for a high level probabilisti...
Abstract Invited TalkProbabilistic logic programs combine the power of a programming language with a...
Abstract Formal languages for probabilistic modeling enable re-use, modularity, and descriptive clar...
Abstract: This paper presents a range of approaches to the analysis and develop-ment of program spec...
The aims of these lecture notes are two-fold: (i) we investigate the relation between the operationa...
The temporal propositional logic of linear time is generalized to an uncertain world, in which rando...
grantor: University of TorontoThe incorporation of probability into several theories of p...
A leading idea is to apply techniques from verification and programming theory to machine learning a...
The work is supported by the EPSRC. Abstract. In this paper we show how quantitative program logic [...
We dene probabilistic languages and probabilistic automata over a nite set of events. We also dene o...
We introduce a probabilistic extension of KLAIM, where the behaviour of networks and individual node...
AbstractWe generalise the classical notion of stationary distributions of Markov processes to a mode...
Probabilistic logic programs combine the power of a programming language with a possible world sema...
Early support for reasoning about probabilistic system behaviour replaced nondeterminism with probab...
AbstractThis paper introduces a general framework of probabilistic and nondeterministic recursive pr...
AbstractThis paper presents two complementary but equivalent semantics for a high level probabilisti...
Abstract Invited TalkProbabilistic logic programs combine the power of a programming language with a...
Abstract Formal languages for probabilistic modeling enable re-use, modularity, and descriptive clar...
Abstract: This paper presents a range of approaches to the analysis and develop-ment of program spec...
The aims of these lecture notes are two-fold: (i) we investigate the relation between the operationa...
The temporal propositional logic of linear time is generalized to an uncertain world, in which rando...
grantor: University of TorontoThe incorporation of probability into several theories of p...
A leading idea is to apply techniques from verification and programming theory to machine learning a...
The work is supported by the EPSRC. Abstract. In this paper we show how quantitative program logic [...
We dene probabilistic languages and probabilistic automata over a nite set of events. We also dene o...
We introduce a probabilistic extension of KLAIM, where the behaviour of networks and individual node...