Context-aware systems capture information from the attributes located within their surroundings and deal with different ways of interacting with the user in its environment. This p...
A recent report by the National Research Council (NRC) declares neural networks “hold the most promise for providing powerful learning models”. While some researchers have expe...
Amy E. Henninger, Avelino J. Gonzalez, Michael Geo...
Reinforcement learning is an effective machine learning paradigm in domains represented by compact and discrete state-action spaces. In high-dimensional and continuous domains, ti...
Autonomy has always been conceived as one of the defining attributes of intelligent agents. While the past years have seen considerable progress regarding theoretical aspects of a...
This paper describes how query formulation can be made simple and less complicated by using ontologies. It takes a brief look at several advantages of using ontologies in a distri...