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
Recently, there has been a lot of attention for statistical relational learning and probabilistic pr...
Back and von Wright have developed algebraic laws for reasoning about loops in the refinement calcul...
Invited TutorialA multitude of different probabilistic programming languages exists today, all exten...
Expectation-based probabilistic predicate transformers [15] provide a logic for probabilistic sequen...
AbstractExpectation-based probabilistic predicate transformers [15] provide a logic for probabilisti...
Expectation-based probabilistic predicate transformers [15] provide a logic for probabilistic sequen...
AbstractIn this paper we consider Milner's calculus CCS enriched by a probabilistic choice operator....
abstract of talkProbabilistic programs combine the power of programming languages with that of proba...
AbstractThis paper considers a logic, based on the modal mu-calculus, for describing properties of p...
Various types of probabilistic proof systems have played a central role in the development of comput...
Probabilistic programming is an emerging subfield of artificial intelligence that extends traditiona...
Probabilistic programming is an emerging subfield of AI that extends traditional programming languag...
Probabilistic programs [6] are sequential programs, written in languages like C, Java, Scala, or ML,...
Probabilistic and logical reasoning are the cornerstones of many developments in artificial intellig...
Probabilistic programming is an emerging subfield of AI that extends traditional programming languag...
Recently, there has been a lot of attention for statistical relational learning and probabilistic pr...
Back and von Wright have developed algebraic laws for reasoning about loops in the refinement calcul...
Invited TutorialA multitude of different probabilistic programming languages exists today, all exten...
Expectation-based probabilistic predicate transformers [15] provide a logic for probabilistic sequen...
AbstractExpectation-based probabilistic predicate transformers [15] provide a logic for probabilisti...
Expectation-based probabilistic predicate transformers [15] provide a logic for probabilistic sequen...
AbstractIn this paper we consider Milner's calculus CCS enriched by a probabilistic choice operator....
abstract of talkProbabilistic programs combine the power of programming languages with that of proba...
AbstractThis paper considers a logic, based on the modal mu-calculus, for describing properties of p...
Various types of probabilistic proof systems have played a central role in the development of comput...
Probabilistic programming is an emerging subfield of artificial intelligence that extends traditiona...
Probabilistic programming is an emerging subfield of AI that extends traditional programming languag...
Probabilistic programs [6] are sequential programs, written in languages like C, Java, Scala, or ML,...
Probabilistic and logical reasoning are the cornerstones of many developments in artificial intellig...
Probabilistic programming is an emerging subfield of AI that extends traditional programming languag...
Recently, there has been a lot of attention for statistical relational learning and probabilistic pr...
Back and von Wright have developed algebraic laws for reasoning about loops in the refinement calcul...
Invited TutorialA multitude of different probabilistic programming languages exists today, all exten...