Probabilistic inductive logic programming, sometimes also called statistical relational learning, addresses one of the central questions of artificial intelligence: the integratio...
Abstract. This paper presents a separation-logic framework for reasoning about low-level C code in the presence of virtual memory. We describe ract, generic Isabelle/HOL framework ...
Logic Programming Update Languages were proposed as an extension of logic programming that allows modeling the dynamics of knowledge bases where both extensional (facts) and intent...
Abstract. We study the realizability problem for specifications of reactive systems expressed in real-time linear temporal logics. The logics we consider are subsets of MITL (Metr...
Stochastic game logic (SGL) is a new temporal logic that combines features of alternating temporal logic (to formalize the individual views and cooperation and reaction facilities...