In this paper, we present a reasoner capable of epistemic inferences in SROIQ knowledge bases. We first identify some counter intuitive effects of imposing the traditional semant...
Abstract. The problem of defining robot behaviors to completely address a large and complex set of situations is very challenging. We present an approach for robot's action se...
Adaptive techniques like voltage and frequency scaling, process variations and the randomness of input data contribute signi cantly to the statistical aspect of contemporary hardwa...
The use of Data Mining in removing current bottlenecks within Case-based Reasoning (CBR) systems is investigated along with the possible role of CBR in providing a knowledge manag...
Sarabjot S. Anand, David W. Patterson, John G. Hug...
In this paper we propose an approach to address the old problem of identifying the feature conditions under which a gaming strategy can be effective. For doing this, we will build ...
Chad Hogg, Stephen Lee-Urban, Bryan Auslander, H&e...