We present an algorithm for compressing table constraints representing allowed or disallowed tuples. This type of constraint is used for example in configuration problems, where t...
Preferences and uncertainty are common in many real-life problems. In this paper, we focus on bipolar preferences and on uncertainty modelled via uncontrollable variables. However,...
Stefano Bistarelli, Maria Silvia Pini, Francesca R...
Dual Consistency (DC) is a property of Constraint Networks (CNs) which is equivalent, in its unrestricted form, to Path Consistency (PC). The principle is to perform successive sin...
Finite domain propagation solvers effectively represent the possible values of variables by a set of choices which can be naturally modelled as Boolean variables. In this paper we...
The typical constraint store transmits a limited amount of information because it consists only of variable domains. We propose a richer constraint store in the form of a limited-w...
Henrik Reif Andersen, Tarik Hadzic, John N. Hooker...
Abstract. One of the most successful approaches in automated planning is to use heuristic state-space search. A popular heuristic that is used by a number of state-space planners i...
Menkes van den Briel, J. Benton, Subbarao Kambhamp...
In this paper we present new techniques for improving backtracking based Quantified Constraint Satisfaction Problem (QCSP) solvers. QCSP is a generalization of CSP in which variab...
Abstract. Empirical hardness models are a recent approach for studying NP-hard problems. They predict the runtime of an instance using efficiently computable features. Previous res...