We now know that the addition of a concept constructor called a Path Functional Dependency (PFD) to the Boolean-complete description logic DLF leads to undecidability of ABox consi...
Mixed-initiative learning integrates complementary human and automated reasoning, taking advantage of their respective reasoning styles and computational strengths in order to sol...
Approximate linear programming (ALP) has emerged recently as one of the most promising methods for solving complex factored MDPs with finite state spaces. In this work we show th...
: The development of complex access control architectures raises the problem of their management. In this article, we describe an architecture providing packet filters configuratio...
Reinforcement learning addresses the problem of learning to select actions in order to maximize one's performance inunknownenvironments. Toscale reinforcement learning to com...