We propose a frameworkfor robot programming which allows the seamless integration of explicit agent programming with decision-theoretic planning. Specifically, the DTGolog model a...
Craig Boutilier, Raymond Reiter, Mikhail Soutchans...
We introduce novel discriminative learning algorithms for dynamical systems. Models such as Conditional Random Fields or Maximum Entropy Markov Models outperform the generative Hi...
A modelling procedure consists of a sequence of modelling tasks. With the increasing size of models during the development, the relations among modelling objects and their correspo...
Yuan Ren, Jens Lemcke, Andreas Friesen, Tirdad Rah...
Feature modeling is a widely used technique in Software Product Line development. Feature models allow stakeholders to describe domain concepts in terms of commonalities and diffe...
Mathieu Acher, Philippe Collet, Philippe Lahire, R...
Model-driven engineering is at the forefront among recent attempts to information systems development. Models are gradually refined from domain specific descriptions to more concre...
Christian Flender, Thomas Hettel, Michael Lawley, ...