Relativized options combine model minimization methods and a hierarchical reinforcement learning framework to derive compact reduced representations of a related family of tasks. ...
In this article, we present our efforts1 on realizing transformation independence in open, extensible, and highly distributed multimedia information The main focus is on the abstra...
This paper investigates relative precision and optimality of analyses for concurrent probabilistic systems. Aiming at the problem at the heart of probabilistic model checking ? com...
Abstract-- Analysis of workflows in terms of structural correctness is important for ensuring the quality of workflow models. Typically, this analysis is only one step in a larger ...
Rainer Hauser, Michael Friess, Jochen Malte Kü...
Model Driven Development (MDD) aims to promote the role of modeling in Software Engineering. Enterprise systems and architectures are often modeled via multiple representations. F...