In previous work we proposed Linear Programs as a fine grained model for imperative programs, and showed how the model checking procedure used in SLAM can be generalised to a mode...
We study the problem of probabilistic deduction with conditional constraints over basic events. We show that globallycomplete probabilistic deduction with conditional constraints ...
Many software testing and automated debugging tools rely on structural coverage techniques. Such tools implicitly assume a relation between individual control-flow choices made i...
In our research we study rational agents which learn how to choose the best conditional, partial plan in any situation. The agent uses an incomplete symbolic inference engine, emp...
Graph transformation units are an approach-independent concept for programming by applying rules and imported transformation units to graphs, starting in an initial and ending in ...