Inference in Markov Decision Processes has recently received interest as a means to infer goals of an observed action, policy recognition, and also as a tool to compute policies. ...
2004, Chang et al. suggested an approach that solves the problem of secret sharing with access structures in a hierarchy. They used the concept of discrete logarithmto reuse shado...
This paper develops a scalable online optimization framework for the autonomic performance management of distributed computing systems operating in a dynamic environment to satisf...
Abstract. The O-OSCAR software architecture is a problem solving environment for complex scheduling problem that is based on a constraintbased representation. On top of this core r...
We present a multi-agent formalism based on extended answer set programming. The system consists of independent agents connected via a communication channel, where knowledge and be...
Davy Van Nieuwenborgh, Marina De Vos, Stijn Heyman...