Computer Science – Artificial Intelligence
Scientific paper
2009-05-22
IJCAI-2009
Computer Science
Artificial Intelligence
Proceedings of the Twenty-first International Joint Conference on Artificial Intelligence (IJCAI-09). Old file included delete
Scientific paper
We show that tools from circuit complexity can be used to study decompositions of global constraints. In particular, we study decompositions of global constraints into conjunctive normal form with the property that unit propagation on the decomposition enforces the same level of consistency as a specialized propagation algorithm. We prove that a constraint propagator has a a polynomial size decomposition if and only if it can be computed by a polynomial size monotone Boolean circuit. Lower bounds on the size of monotone Boolean circuits thus translate to lower bounds on the size of decompositions of global constraints. For instance, we prove that there is no polynomial sized decomposition of the domain consistency propagator for the ALLDIFFERENT constraint.
Bessiere Christian
Katsirelos George
Narodytska Nina
Walsh Toby
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