Fundamental properties of neighbourhood substitution in constraint satisfaction problems

被引:15
作者
Cooper, MC
机构
[1] Universite Paul Sabatier, Toulouse, France
关键词
D O I
10.1016/S0004-3702(96)00018-5
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
In combinatorial problems it is often worthwhile simplifying the problem, using operations such as consistency, before embarking on an exhaustive search for solutions. Neighbourhood substitution is such a simplification operation. Whenever a value x for a variable is such that it can be replaced in all constraints by another value y, then x is eliminated. This paper shows that neighbourhood substitutions are important whether the aim is to find one or all solutions. It is proved that the result of a convergent sequence of neighbourhood substitutions is invariant module isomorphism. An efficient algorithm is given to find such a sequence. It is also shown that to combine consistency (of any order) and neighbourhood substitution, we only need to establish consistency once.
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页码:1 / 24
页数:24
相关论文
共 12 条
[11]  
Tsang E., 1993, Foundations of constraint satisfaction
[12]  
Waltz D., 1975, The Psychology of Computer Vision