Constraint programming has been used in many applications where uncertainty arises to model safe reasoning. The goal of constraint propagation is to propagate intervals of uncerta...
Abstract. We describe a simple CSP formalism for handling multi-attribute preference problems with hard constraints, one that combines hard constraints and preferences so the two a...
Eugene C. Freuder, Robert Heffernan, Richard J. Wa...
We study local interchangeability of values in constraint networks based on a new approach where a single value in the domain of a variable can be treated as a combination of &quo...
In recent years, interval constraint-based solvers have shown their ability to efficiently solve challenging non-linear real constraint problems. However, most of the working syst...
Due to its important practical applications, temporal planning is of great research interest in artificial intelligence. Yet most of the work in this area so far is limited in at...