AbstractExpectation-based probabilistic predicate transformers [15] provide a logic for probabilistic sequential programs, giving access to expressions such as ‘the probability that predicate A is achieved finally’. Using expectations more generally however, we can express μ-calculus formulae for the expected path-length of a computation tree. Moreover within an expectation-based μ-calculus such efficiency measures and more conventional (but probabilistic) temporal operators [14] can be related
We present a new approach to probabilistic logic programs with a possible worlds semantics. Classica...
We study a syntax for specifying quantitative assertions—functions mapping program states to numbers...
A theory of programming is intended to aid the construction of programs that meet their specificatio...
Expectation-based probabilistic predicate transformers [15] provide a logic for probabilistic sequen...
Expectation-based probabilistic predicate transformers [15] provide a logic for probabilistic sequen...
AbstractExpectation-based probabilistic predicate transformers [15] provide a logic for probabilisti...
Predicate transformers facilitate reasoning about imperative programs, including those exhibiting de...
We interpret the modal µ-calculus over a new model [10], to give a temporal logic suitable for syste...
We study quantitative reasoning about probabilistic programs. In doing so, we investigate two main a...
Probabilistic predicates generalize standard predicates over a state space; with probabilistic predi...
Abstract. Two approaches to logic programming with probabilities emerged over time: bayesian reasoni...
We introduce a notion of strong monotonicity of probabilistic predicate transformers. This notion en...
In this paper we revisit the well-known technique of predicate abstraction to characterise performan...
Probabilistic predicate transformers provide a semantics for imperative programs containing both dem...
AbstractIn this paper we show how quantitative program logic (Morgan et al., ACM Trans. Programming ...
We present a new approach to probabilistic logic programs with a possible worlds semantics. Classica...
We study a syntax for specifying quantitative assertions—functions mapping program states to numbers...
A theory of programming is intended to aid the construction of programs that meet their specificatio...
Expectation-based probabilistic predicate transformers [15] provide a logic for probabilistic sequen...
Expectation-based probabilistic predicate transformers [15] provide a logic for probabilistic sequen...
AbstractExpectation-based probabilistic predicate transformers [15] provide a logic for probabilisti...
Predicate transformers facilitate reasoning about imperative programs, including those exhibiting de...
We interpret the modal µ-calculus over a new model [10], to give a temporal logic suitable for syste...
We study quantitative reasoning about probabilistic programs. In doing so, we investigate two main a...
Probabilistic predicates generalize standard predicates over a state space; with probabilistic predi...
Abstract. Two approaches to logic programming with probabilities emerged over time: bayesian reasoni...
We introduce a notion of strong monotonicity of probabilistic predicate transformers. This notion en...
In this paper we revisit the well-known technique of predicate abstraction to characterise performan...
Probabilistic predicate transformers provide a semantics for imperative programs containing both dem...
AbstractIn this paper we show how quantitative program logic (Morgan et al., ACM Trans. Programming ...
We present a new approach to probabilistic logic programs with a possible worlds semantics. Classica...
We study a syntax for specifying quantitative assertions—functions mapping program states to numbers...
A theory of programming is intended to aid the construction of programs that meet their specificatio...