Multi-agent learning is a crucial method to control or find solutions for systems, in which more than one entity needs to be adaptive. In today's interconnected world, such s...
Though multi-agent systems have been explored in a wide variety of medical settings, their role at the primary care level has been relatively little investigated. In this paper, we...
We describe an implementation of datadriven selection of emphatic facial displays for an embodied conversational agent in a dialogue system. A corpus of sentences in the domain of...
History based models, introduced by Parikh and Ramanujam, provide a natural mathematical model of social interactive situations. These models offer a ”low level” description ...
Interpretation of paper drawings has received a good deal of attention over the last decade. Progress has also been made in related areas such as direct interpretation of human dr...