Computational experiments are reported involving the concept of foreknowledge, an agent’s direct, unmediated and accurate, but possibly incomplete, awareness of its future includ...
Effective reuse of Knowledge Bases (KBs) often entails the expensive task of identifying plausible KB-PS (Problem Solver) combinations. We propose a novel technique based on Const...
Tomas Eric Nordlander, Derek H. Sleeman, Ken N. Br...
Abstract. We describe simple algebraic and combinatorial characterisations of finite relational core structures admitting finitely many obstructions. As a consequence, we show th...
When a Constraint Satisfaction Problem (CSP) admits no solution, most current solvers express that the whole search space has been explored unsuccessfully but do not exhibit which...
Traditional global search heuristics to solve constraint satisfaction problems focus on properties of an individual variable that mandate early search attention. If, however, one ...
In order to apply constraint programming to a particular domain, the problem must first be modelled as a constraint satisfaction problem. There are typically many alternative mode...
Constraint Programming is a powerful approach for modeling and solving many combinatorial problems, scalability, however, remains an issue in . Abstraction and reformulation techni...
Kenneth M. Bayer, Martin Michalowski, Berthe Y. Ch...
Abstract. We introduce a new general polynomial-time constructionthe fibre construction- which reduces any constraint satisfaction problem CSP(H) to the constraint satisfaction pr...
Abstract. This work presents methods for processing a constraint satisfaction problem (CSP) formulated by an expression-based language, before the CSP is presented to a stochastic ...
It has recently been shown, for the Constraint Satisfaction Problem (CSP), that the state associated with a node of the search tree built by a backtracking algorithm can be exploit...