Humans know how to reason based on cause and effect, but cause and effect is not enough to draw conclusions due to the problem of imperfect information and uncertainty. To resol...
Abstract. The mechanisation of proofs for probabilistic systems is particularly challenging due to the verification of real-valued properties that probability entails: experience ...
We propose a new focus in language design where languages provide constructs that not only describe the computation of results, but also produce explanations of how and why those r...
This paper describes a course in hardware description and synthesis (hardware compilation), taught as an introductory graduate course at Chalmers University of Technology, and as a...
First-order probabilistic models are recognized as efficient frameworks to represent several realworld problems: they combine the expressive power of first-order logic, which serv...