We propose a logical/mathematical framework for statistical parameter learning of parameterized logic programs, i.e. denite clause programs containing probabilistic facts with a ...
Symbolic Model checking is a widely used technique in sequential verification. As the size of the OBDDs and also the computation time depends on the order of the input variables,...
The gap in automation between MIP/SAT solvers and those for constraint programming and constraint-based local search hinders experimentation and adoption of these technologies and...
The ingredients of typical model based development via refinement are re-examined, and some well known frameworks are reviewed in that light, drawing out commonalities and differen...
This paper presents an approach to create POMDP models, used for decision making by an autonomous service robot, from background knowledge. This allows the power of POMDP decision ...