Models for sequential decision making under uncertainty (e.g., Markov decision processes,or MDPs) have beenstudied in operations research for decades. The recent incorporation of ...
As the scale and scope of distributed and multi-agent systems grow, it becomes increasingly important to design and manage the participants' interactions. The potential for b...
In this paper we present an educational tool which has been designed to manage (learning) knowledge acquired from the interactions with the students, and to automatically aids educ...
In this work, a new type of collaborative learning activity is proposed in order to enable students to explore and understand information in highly mobile situations. We call this ...
Gustavo Zurita, Nelson Baloian, Pedro Antunes, Fel...
Interacting with intelligent systems in general and ambient intelligent systems in particular, requires that these systems have the ability to build a trust relationship with the u...