The tractability of CSP classes defined by forbidden patterns
David A. Cohen, Martin C. Cooper, P\'aid\'i Creed, Andr\'as Z. Salamon

TL;DR
This paper introduces a new framework based on forbidden patterns to analyze the tractability of certain classes of constraint satisfaction problems, extending existing structural and relational approaches.
Contribution
It proposes the concept of CSP patterns and a general framework for problem classes defined by forbidden patterns, unifying and extending previous tractable class characterizations.
Findings
Framework generalizes relational properties
Captures known hybrid tractable classes
Characterizes large classes of tractable and NP-hard patterns
Abstract
The constraint satisfaction problem (CSP) is a general problem central to computer science and artificial intelligence. Although the CSP is NP-hard in general, considerable effort has been spent on identifying tractable subclasses. The main two approaches consider structural properties (restrictions on the hypergraph of constraint scopes) and relational properties (restrictions on the language of constraint relations). Recently, some authors have considered hybrid properties that restrict the constraint hypergraph and the relations simultaneously. Our key contribution is the novel concept of a CSP pattern and classes of problems defined by forbidden patterns (which can be viewed as forbidding generic subproblems). We describe the theoretical framework which can be used to reason about classes of problems defined by forbidden patterns. We show that this framework generalises relational…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
