Every time a user uses the Internet, a wealth of personal information is revealed, either voluntarily or involuntarily. This often causes privacy breaches, specially if the informa...
Fuzzy Description Logics (Fuzzy DLs) and fuzzy OWL have been proposed as languages able to represent and reason about imprecise and vague knowledge. Such extensions have gained con...
Model-based Bayesian reinforcement learning has generated significant interest in the AI community as it provides an elegant solution to the optimal exploration-exploitation trade...
Both explanation-based and inductive learning techniques have proven successful in a variety of distributed domains. However, learning in multi-agent systems does not necessarily ...
We present a novel approach to describe and reason about stateless information processing services. It can be seen as an extension of standard descriptions which makes explicit th...
Duncan Hull, Evgeny Zolin, Andrey Bovykin, Ian Hor...