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COMPLEXITY CLASSIFICATION TRANSFER FOR CSPs VIA ALGEBRAIC PRODUCTS.

Authors :
BODIRSKY, MANUEL
JONSSON, PETER
MARTIN, BARNABY
MOTTETH, ANTOINE
SEMANIŠINOVÁ, ŽANETA
Source :
SIAM Journal on Computing. 2024, Vol. 53 Issue 5, p1293-1353. 61p.
Publication Year :
2024

Abstract

We study the complexity of infinite-domain constraint satisfaction problems (CSPs): our basic setting is that a complexity classification for the CSPs of first-order expansions of a structure 21 can be transferred to a classification of the CSPs of first-order expansions of another structure 53. We exploit a product of structures (the algebraic product) that corresponds to the product of the respective polymorphism clones and present a complete complexity classification of the CSPs for first-order expansions of the n-fold algebraic power of (ℚ;<). This is proved by various algebraic and logical methods in combination with knowledge of the polymorphisms of the tractable first-order expansions of (ℚ;<) and explicit descriptions of the expressible relations in terms of syntactically restricted first-order formulas. By combining our classification result with general classification transfer techniques, we obtain surprisingly strong new classification results for highly relevant formalisms such as Allen's Interval Algebra, the n-dimensional Block Algebra, and the Cardinal Direction Calculus, even if higher-arity relations are allowed. Our results confirm the infinite-domain tractability conjecture for classes of structures that have been difficult to analyze with older methods. For the special case of structures with binary signatures, the results can be substantially strengthened and tightly connected to Ord-Horn formulas; this solves several longstanding open problems from the artificial intelligence (AI) literature. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
00975397
Volume :
53
Issue :
5
Database :
Academic Search Index
Journal :
SIAM Journal on Computing
Publication Type :
Academic Journal
Accession number :
180915427
Full Text :
https://doi.org/10.1137/22M1534304