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The complexity of maximal constraint languages

Abstract:
Many combinatorial search problems can be expressed as "constraint satisfaction problems" using an appropriate "constraint language", that is, a set of relations over some fixed finite set of values. It is well-known that there is a trade-off between the expressive power of a constraint language and the complexity of the problems it can express. In the present paper we systematically study the complexity of all maximal constraint languages, that is, languages whose expressive power is just weaker than that of the language of all constraints. Using the algebraic invariance properties of constraints, we exhibit a strong necessary condition for tractability of such a constraint language. Moreover, we show that, at least for small sets of values, this condition is also sufficient.

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Journal:
Conference Proceedings of the Annual ACM Symposium on Theory of Computing More from this journal
Pages:
667-674
Publication date:
2001-01-01
ISSN:
0734-9025


Language:
English
Keywords:
Pubs id:
pubs:328404
UUID:
uuid:001f26b9-4375-4b5c-8153-4db108be106e
Local pid:
pubs:328404
Source identifiers:
328404
Deposit date:
2013-11-17
ARK identifier:

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