We present an algorithm Pref-AC that limits arc consistency (AC) to the preferred choices of a tree search procedure and that makes constraint solving more efficient without chan...
Many AI tasks can be formalized as constraint satisfaction problems (CSPs), which involve finding values for variables subject to a set of constraints. While solving a CSP is an ...
The algorithm presented here, BCC, is an enhancement of the well known Backtrack used to solve constraint satisfaction problems. Though most backtrack improvements rely on propaga...
Because many real-world problems can be represented and solved as constraint satisfaction problems, the development of effective, efficient constraint solvers is important. A solv...
This paper proposes the methods to solve the constraint satisfaction problems (CSPs) using Q'tron neural networks (NNs). A Q'tron NN is local-minima free if it is built ...
The integration of methods of Constraint Programming and Multi-Agent-Systems is discussed in this paper. We describe different agent topologies for Constraint Satisfaction Problem...
In this paper the distributed Constraint Satisfaction Ant Algorithm (CSAA) framework is presented. It uses an ant-based system for the distributed solving of constraint satisfacti...
Abstract. The Galois connection involving polymorphisms and coclones has received a lot of attention in regard to constraint satisfaction problems. However, it fails if we are inte...
Symmetry in constraint satisfaction problems (CSPs) has been considered in two fundamentally different ways: as an operation preserving the solutions of a CSP instance, or as an o...
David A. Cohen, Peter Jeavons, Christopher Jeffers...
In a nutshell, a duality for a constraint satisfaction problem equates the existence of one homomorphism to the non-existence of other homomorphisms. In this survey paper, we give ...
Andrei A. Bulatov, Andrei A. Krokhin, Benoit Laros...