We present an algorithm that quickly finds optimal plans for unforeseen agent preferences within graph-based planning domains where actions have deterministic outcomes and action ...
This paper examines a method of clustering within a fully decentralized multi-agent system. Our goal is to group agents with similar objectives or data, as is done in traditional ...
Elth Ogston, Benno J. Overeinder, Maarten van Stee...
An adaptive recommendation service seeks to adapt to its users, providing increasingly personalized recommendations over time. In this paper we introduce the \Fab" adaptive W...
Multimedia content presents special challenges for the search engines, and could benefit from semantic annotation of images. Unfortunately, manual labeling is too tedious and tim...
Chien-Ju Ho, Tsung-Hsiang Chang, Jane Yung-jen Hsu
Determining the provenance of data, i.e. the process that led to that data, is vital in many disciplines. For example, in science, the process that produced a given result must be...
Simon Miles, Steve Munroe, Michael Luck, Luc Morea...