Abstract. To make ABox reasoning scalable for large ABoxes in description logic (DL) knowledge bases, we develop a method for partitioning the ABox so that specific kinds of reaso...
Handling exceptions represents one of the most important problems in Artificial Intelligence. Several approaches have been proposed for reasoning on default theories. This paper f...
We consider the problem of selecting the best system using simulation-based ordinal optimization. This problem has been studied mostly in the context of light-tailed distributions...
In this paper, we present ARF, our initial effort at solving taskallocation problems where cooperative agents need to perform tasks simultaneously. An example is multi-agent routi...
Abstract. The use of Craig interpolants has enabled the development of powerful hardware and software model checking techniques. Efficient algorithms are known for computing interp...