Abstract. Classical constraint satisfaction problems (CSPs) provide an expressive formalism for describing and solving many real-world problems. However, classical CSPs prove to be...
Neural networks and other sophisticated machine learning algorithms frequently miss simple solutions that can be discovered by a more constrained learning methods. Transition from ...
Software design patterns describe proven solutions to recurring software design problems. Knowledge of these patterns increases designers’ abilities, leads to cleaner and more e...
— We consider a navigation problem for a robot equipped with only a map, compass, and contact sensor. In addition to the limitations placed on sensing, we assume that there exist...
We present GridSAT, a parallel and complete satisfiability solver designed to solve non-trivial SAT problem instances using a large number of widely distributed and heterogeneous...