The choice of an appropriate hardware representation model is key to successful evolution of digital circuits. One of the most popular models is cartesian genetic programming, whi...
Constraint programming can definitely be seen as a model-driven paradigm. The users write programs for modeling problems. These programs are mapped to executable models to calcula...
Reactive programs have to react continuously to their inputs. Here the time needed to react with the according output is important. While the synchrony hypothesis takes the view t...
Marian Boldt, Claus Traulsen, Reinhard von Hanxled...
Many machine-learning algorithms learn rules of behavior from individual end users, such as taskoriented desktop organizers and handwriting recognizers. These rules form a “prog...
Todd Kulesza, Simone Stumpf, Margaret M. Burnett, ...
The MapReduce distributed programming framework has become popular, despite evidence that current implementations are inefficient, requiring far more hardware than a traditional r...
Eaman Jahani, Michael J. Cafarella, Christopher R&...