In this paper, we propose a model named Logical Markov Decision Processes with Negation for Relational Reinforcement Learning for applying Reinforcement Learning algorithms on the ...
In this paper, we propose a logic of action and causality. The most important part of our contribution is a semantics that integrates action, temporal structure, and probability. ...
Relation Based Access Control (RelBAC) is an access control model designed for the new scenarios of access control on Web 2.0. Under this model, we discuss in this paper how to for...
Recent advances in data and knowledge engineering have emphasized the need for formal concept analysis (FCA) tools taking into account structured data. There are a few adaptations ...
Despite a plethora of recent research regarding trust management approaches to authorization, relatively little attention has been given to exactly how these technologies can be e...