Fundamental properties of networks of constraints: A new formulation
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From local to global consistency
Artificial Intelligence
Structure identification in relational data
Artificial Intelligence - Special volume on constraint-based reasoning
On the Complexity of Testing Implications of Functional and Join Dependencies
Journal of the ACM (JACM)
Configuring Large Systems Using Generative Constraint Satisfaction
IEEE Intelligent Systems
Constraint Processing
Theory of Relational Databases
Theory of Relational Databases
FDB: a query engine for factorised relational databases
Proceedings of the VLDB Endowment
On minimal constraint networks
Artificial Intelligence
Solving minimal constraint networks in qualitative spatial and temporal reasoning
CP'12 Proceedings of the 18th international conference on Principles and Practice of Constraint Programming
Aggregation and ordering in factorised databases
Proceedings of the VLDB Endowment
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In a minimal binary constraint network, every tuple of a constraint relation can be extended to a solution. It was conjectured that computing a solution to such a network is NP hard. We prove this conjecture. We also prove a conjecture by Dechter and Pearl stating that for k ≥ 2 it is NP-hard to decide whether a constraint network can be decomposed into an equivalent k-ary constraint network, and study related questions.