In this paper, we present a prototype that helps visualizing the relative importance of sentences extracted from medical texts using Embodied Conversational Agents (ECA). We propo...
: To a large degree information has become accessible – anytime, anywhere – but not necessarily useful. Unless the right information is presented at the right time, in the righ...
: We present a way to mix the lower control of agents with the high level specifications of their goals. This paper addresses various topics required to animate virtual humans in a...
In our research we study rational agents which learn how to choose the best conditional, partial plan in any situation. The agent uses an incomplete symbolic inference engine, emp...
Robust execution of robotic tasks is a difficult problem. In many situations, these tasks involve complex behaviors combining different functionalities (e.g. perception, localizat...