Developing applications for smart spaces is a challenging task. Most programming systems narrowly focus on the embedded computer infrastructure and neglect the spatial aspect of th...
Abstract. Many agent coordination problems can be modeled as distributed constraint optimization problems (DCOPs). ADOPT is an asynchronous and distributed search algorithm that is...
Abstract. Constraint solving problems (CSPs) represent a formalization of an important class of problems in computer science. We propose here a solving methodology based on the nam...
Abstract. We propose a new family of constraints which combine together lexicographical ordering constraints for symmetry breaking with other common global constraints. We give a g...
In this paper, we present a rule-based modelling language for constraint programming, called Rules2CP. Unlike other modelling languages, Rules2CP adopts a single knowledge represen...
Abstract. Over the last decade, first-order constraints have been efficiently used in the artificial intelligence world to model many kinds of complex problems such as: scheduling,...
We consider constraint optimization problems where costs (or preferences) are all given, but some are tagged as possibly unstable, and provided with a range of alternative values. ...
Maria Silvia Pini, Francesca Rossi, Kristen Brent ...
In the analysis of hybrid discrete-continuous systems, rich arithmetic constraint formulae with complex Boolean structure arise naturally. The iSAT algorithm, a solver for such for...
Andreas Eggers, Natalia Kalinnik, Stefan Kupfersch...
Abstract. Call control features (e.g., call-divert, voice-mail) are primitive options to which users can subscribe off-line to personalise their service. The configuration of a fea...
David Lesaint, Deepak Mehta, Barry O'Sullivan, Lui...
ctural abstractions that were introduced in [17]. Compared with other symmetry-breaking techniques, the big advantage of dynamic symmetry breaking is that it can accommodate dynami...
Daniel S. Heller, Aurojit Panda, Meinolf Sellmann,...