In this paper, we describe an approach to modelling contextaware systems starting on the knowledge level. We make use of ideas from Activity Theory to structure the general contex...
When knowledge systems are deployed into a real-world application, then the maintenance and the refinement of the knowledge are essential tasks. Many existing automatic knowledge ...
This paper considers a robot with multiple sensors navigating an unknown, heterogeneous environment. In these cases sensor errors may produce an unsuitable model of the world. For...
In this article, we are presenting a semantic annotation tool for Arabic texts with a strategy adapted to the automatic location of reported information. The method used is that o...
Motasem Alrahabi, Amr Helmy Ibrahim, Jean-Pierre D...
In this paper we present an automated method for classifying astronomical objects in multispectral wide-field images. The method is divided into three main tasks. The first one co...
Fuzzy ARTMAP (FAM) is one of the best neural network architectures in solving classification problems. One of the limitations of Fuzzy ARTMAP that has been extensively reported in...
Ahmad Al-Daraiseh, Michael Georgiopoulos, Annie S....
The incremental parsing (IP) algorithm has been successfully used in real-time applications, due to its efficiency in modeling musical style. For example, musical systems using IP...
Giordano Ribeiro de Eulalio Cabral, Jean-Pierre Br...
This paper describes an investigation into the refinement of context-based human behavior models through the use of experiential learning. Specifically, a tactical agent was endow...
Representation is a fluent. A mismatch between the real world and an agent's representation of it can be signalled by unexpected failures (or successes) of the agent's r...