An ambient agent system is presented estimating a human's dynamics of desiring and being tempted. The agent is equipped with a dynamical model of the human's processes wh...
Mark Hoogendoorn, Zulfiqar A. Memon, Jan Treur, Mu...
This paper addresses the task of trajectory cost prediction, a new learning task for trajectories. The goal of this task is to predict the cost for an arbitrary (possibly unknown)...
Behind every search query is a high-level mission that the user wants to accomplish. While current search engines can often provide relevant information in response to well-speciï...
This paper addresses the problem of automated advice provision in settings that involve repeated interactions between people and computer agents. This problem arises in many real ...
In large systems, it is important for agents to learn to act effectively, but sophisticated multi-agent learning algorithms generally do not scale. An alternative approach is to ï...