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 ...
There has been great progress in recent years on developing effective techniques for reasoning about program equivalence in ML-like languages—that is, languages that combine fea...
Chung-Kil Hur, Derek Dreyer, Georg Neis, Viktor Va...