Hoare logic can be used to verify properties of deterministic programs by deriving correctness formulae, also called Hoare triples. The goal of this paper is to extend the Hoare logic to be able to deal with probabilistic programs. To this end a generic non-uniform language Lpw with a probabilistic choice operator is introduced and a denotational semantics D is given for the language. A notion of probabilistic predicate is defined to express claims about the state of a probabilistic program. To reason about the probabilistic predicates a derivation system pH, similar to that of standard Hoare logic, is given. The derivation system is shown to be correct with respect to the semantics D. Some basic examples illustrate the use of the system
Probabilistic Logic Programming extends Logic Programming by enabling the representation of uncertai...
Probabilistic Logic Programming extends Logic Programming by enabling the representation of uncertai...
Probabilistic annotations generalise standard Hoare Logic [20] to quantitative properties of probabi...
Hoare logic can be used to verify properties of deterministic programs by deriving correctness formu...
Hoare logic can be used to verify properties of deterministic programs by deriving correctness formu...
Hoare logic can be used to verify properties of deterministic programs by deriving correctness formu...
Hoare logic can be used to verify properties of deterministic programs by deriving correctness formu...
Hoare logic can be used to verify properties of deterministic programs by deriving correctness formu...
Probability, be it inherent or explicitly introduced, has become an important issue in the verificat...
AbstractOf all scientific investigations into reasoning with uncertainty and chance, probability the...
AbstractWe introduce a Hoare-style logic for probabilistic programs, called VPHL, that has been form...
AbstractWe introduce a Hoare-style logic for probabilistic programs, called VPHL, that has been form...
grantor: University of TorontoThe incorporation of probability into several theories of p...
grantor: University of TorontoThe incorporation of probability into several theories of p...
Predicate transformers facilitate reasoning about imperative programs, including those exhibiting de...
Probabilistic Logic Programming extends Logic Programming by enabling the representation of uncertai...
Probabilistic Logic Programming extends Logic Programming by enabling the representation of uncertai...
Probabilistic annotations generalise standard Hoare Logic [20] to quantitative properties of probabi...
Hoare logic can be used to verify properties of deterministic programs by deriving correctness formu...
Hoare logic can be used to verify properties of deterministic programs by deriving correctness formu...
Hoare logic can be used to verify properties of deterministic programs by deriving correctness formu...
Hoare logic can be used to verify properties of deterministic programs by deriving correctness formu...
Hoare logic can be used to verify properties of deterministic programs by deriving correctness formu...
Probability, be it inherent or explicitly introduced, has become an important issue in the verificat...
AbstractOf all scientific investigations into reasoning with uncertainty and chance, probability the...
AbstractWe introduce a Hoare-style logic for probabilistic programs, called VPHL, that has been form...
AbstractWe introduce a Hoare-style logic for probabilistic programs, called VPHL, that has been form...
grantor: University of TorontoThe incorporation of probability into several theories of p...
grantor: University of TorontoThe incorporation of probability into several theories of p...
Predicate transformers facilitate reasoning about imperative programs, including those exhibiting de...
Probabilistic Logic Programming extends Logic Programming by enabling the representation of uncertai...
Probabilistic Logic Programming extends Logic Programming by enabling the representation of uncertai...
Probabilistic annotations generalise standard Hoare Logic [20] to quantitative properties of probabi...