Generative and evaluative approaches are two different ways of diagnosing students’ input that have been realized in a number of intelligent tutoring systems. We describe how Ac...
The development of graphical argument models is an active and growing area of research in Artificial Intelligence and Law. The aim is to develop models which may be readily used ...
Collin Lynch, Kevin D. Ashley, Niels Pinkwart, Vin...
: We describe the design and evaluation of an affective pedagogical agent persona for Intelligent Tutoring Systems. The goal of our research was to develop an agent embodying a per...
Konstantin Zakharov, Antonija Mitrovic, Lucy Johns...
We propose an extension of alternating-time temporal logic, that can be used for reasoning about the behavior and abilities of agents under various rationality assumptions. Catego...
Multiplysectioned Bayesian networks provide a probabilistic framework for reasoning about uncertain domains in cooperative multiagent systems. Several advances have been made in r...