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AAAI 1998

On the Computation of Local Interchangeability in Discrete Constraint Satisfaction Problems

Conference Paper Constraint Satisfaction Problems Artificial Intelligence

Abstract

In [4], Freuderdefines several types of interchangeability to capture the equivalenceamong the valuesof a variable in a discrete constraint satisfaction problem(CSP), and provides a procedure for computing onetype of local interchangeability. In this paper, we first extendthis procedurefor computing a weak form of local interchangeability. Second, weshowthat the modifiedprocedurecanbe used to generate a conjunctive decompositionof the CSPby localizing, in the CSP, independentsubproblems. Third, for the case of constraints of mutualexclusion, weshowthat locally interchangeablevaluescan be computed in a straightforward manner, and that the only possible type of local interchangeabilityis the onethat induceslocally independentsubproblems. Finally, wegive hints on how to exploit these results in practice, establish a lattice that relates some types of interchangeability, andidentify directions for future research.

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Context

Venue
AAAI Conference on Artificial Intelligence
Archive span
1980-2026
Indexed papers
28718
Paper id
1057139546647116495
v2026.09.13