Correlation polytopes: their geometry and complexity
Mathematical Programming: Series A and B
From local to global consistency
Artificial Intelligence
Structure identification in relational data
Artificial Intelligence - Special volume on constraint-based reasoning
Synthesizing constraint expressions
Communications of the ACM
Constraint Processing
Handbook of Constraint Programming (Foundations of Artificial Intelligence)
Handbook of Constraint Programming (Foundations of Artificial Intelligence)
Robust satisfiability of constraint satisfaction problems
STOC '12 Proceedings of the forty-fourth annual ACM symposium on Theory of computing
On minimal constraint networks
Artificial Intelligence
Relational Hidden Variables and Non-Locality
Studia Logica
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Motivated by considerations in quantum mechanics, we introduce the class of robust constraint satisfaction problems in which the question is whether every partial assignment of a certain length can be extended to a solution, provided the partial assignment does not violate any of the constraints of the given instance. We explore the complexity of specific robust colorability and robust satisfiability problems, and show that they are NP-complete. We then use these results to establish the computational intractability of detecting local hidden-variable models in quantum mechanics.