We present a noisy-OR Bayesian network model for simulation-based training, and an efficient search-based algorithm for automatic synthesis of plausible training scenarios from co...
Eugene Grois, William H. Hsu, Mikhail Voloshin, Da...
We propose an epistemic dynamic logic EDL able to represent the interactions between action and knowledge that are fundamental to planning under partial observability. EDL enables...
Modifyingknowledge-based systems is a complexactivity. One of its di culties is that several related portions of the system might have to be changed in order to maintain the coher...
Previous parametric representations of smooth genus-zero surfaces require a collection of abutting patches (e.g. splines, NURBS, recursively subdivided polygons). We introduce a s...
Frank Losasso, Hugues Hoppe, Scott Schaefer, Joe D...
Deductive database technology represents an important step towards the goal of developing highly-declarative database programming languages. In order to make deductive databases a ...
Elisa Bertino, Barbara Catania, Vincenzo Gervasi, ...