We present PLIANT, a learning system that supports adaptive assistance in an open calendaring system. PLIANT learns user preferences from the feedback that naturally occurs during...
Melinda T. Gervasio, Michael D. Moffitt, Martha E....
User-centered consultation systems can be viewed as systems with trust in the competence of the user, whereas conventional knowledge systems are often based on some mistrust. By o...
Georg Buscher, Joachim Baumeister, Frank Puppe, Di...
In this paper, we focus on the use of context-aware, collaborative filtering, machine-learning techniques that leverage automatically sensed and inferred contextual metadata toget...
Marc Davis, Michael Smith, John F. Canny, Nathan G...
This paper addresses single and multiple container loading problems. We propose to use dynamic prioritization to handle awkward box types. The box type with a higher priority will...
We describe a Multi-Agent System (MAS) for controlling teams of uninhabited air vehicles (UAVs) in the context of a larger system that has been used to evaluate potential concepts...