Many machine-learning algorithms learn rules of behavior from individual end users, such as taskoriented desktop organizers and handwriting recognizers. These rules form a “prog...
Todd Kulesza, Simone Stumpf, Margaret M. Burnett, ...
In recent years we have seen great progress made in the area of automatic source-level static analysis tools. However, most of today's program verification tools are limited ...
Byron Cook, Alexey Gotsman, Andreas Podelski, Andr...
Abstract. We present a framework for the declarative diagnosis of nondeterministic timed concurrent constraint programs. We present a denotational semantics based on a (continuous)...
Moreno Falaschi, Carlos Olarte, Catuscia Palamides...
The extended answer set semantics for logic programs allows for the defeat of rules to resolve contradictions. We propose a refinement of these semantics based on a preference rel...
Davy Van Nieuwenborgh, Stijn Heymans, Dirk Vermeir
Abstract. It is well known that mathematical proofs often contain (abstract) algorithms, but although these algorithms can be understood by a human, it still takes a lot of time an...