2021
DOI: 10.1609/aaai.v35i5.16488
|View full text |Cite
|
Sign up to set email alerts
|

Solving Infinite-Domain CSPs Using the Patchwork Property

Abstract: The constraint satisfaction problem (CSP) has important applications in computer science and AI. In particular, infinite-domain CSPs have been intensively used in subareas of AI such as spatio-temporal reasoning. Since constraint satisfaction is a computationally hard problem, much work has been devoted to identifying restricted problems that are efficiently solvable. One way of doing this is to restrict the interactions of variables and constraints, and a highly successful approach is to bound the treewidth… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
3

Citation Types

0
3
0

Year Published

2021
2021
2023
2023

Publication Types

Select...
3
1

Relationship

2
2

Authors

Journals

citations
Cited by 4 publications
(3 citation statements)
references
References 59 publications
0
3
0
Order By: Relevance
“…On the one hand, they are solvable in 2 O(n 2 ) time or 2 O(n•log n) time in certain cases [20], but we can currently only rule out subexponential 2 o(n) algorithms under ETH [23]. On the other hand, despite the immense success of parameterized complexity, there is a lack of natural FPT algorithms for qualitative reasoning, and we are only aware of a handful of less surprising examples such as tree-width [6,10].…”
Section: Introductionmentioning
confidence: 99%
“…On the one hand, they are solvable in 2 O(n 2 ) time or 2 O(n•log n) time in certain cases [20], but we can currently only rule out subexponential 2 o(n) algorithms under ETH [23]. On the other hand, despite the immense success of parameterized complexity, there is a lack of natural FPT algorithms for qualitative reasoning, and we are only aware of a handful of less surprising examples such as tree-width [6,10].…”
Section: Introductionmentioning
confidence: 99%
“…In contrast to this, we present an XP algorithm for CSP(D ∞,k ) when k ∈ N. Additionally, we prove that CSP(D 2,k ) for 1 ≤ k < ∞, is not in FPT (under standard complexity-theoretic assumptions), thus showing that significantly faster algorithms for DTP are unlikely. Problems such as Allen's Algebra and RCC8 are in FPT (Dabrowski et al 2021) so DTP is in fact a substantially harder problem. We complement all of these results by showing that CSP(D 2,∞ ) is pNP-hard, i.e.…”
Section: Introductionmentioning
confidence: 99%
“…The polynomial-time solvability of CSP(D 2,0 ) follows from the fact that the relations in D 2,0 equal the point algebra (Vilain and Kautz 1986). It is well known that CSP(D k,0 ) for k ≥ 3 is NP-hard (this follows, for instance, from an easy reduction from the BE-TWEENNESS problem (Garey and Johnson 1979)) and re- sults by Dabrowski et al (2021) show that these problems are in FPT.…”
Section: Introductionmentioning
confidence: 99%