JOURNAL ARTICLE

Input Proofs and Rank One Cutting Planes

John Hooker

Year: 1989 Journal:   INFORMS Journal on Computing Vol: 1 (3)Pages: 137-145   Publisher: Institute for Operations Research and the Management Sciences

Abstract

Input resolution and “unit support” resolution (a generalization of unit resolution) are complete inference methods for Horn clauses in propositional logic. We show that they have a close analog in cutting plane theory. Namely, a logical clause can be deduced using input or unit support resolution if and only if it belongs to the elementary closure of the premises and is therefore a rank one cut in Chvátal's sense. This connection leads to a cutting plane algorithm for solving non-Horn inference problems. INFORMS Journal on Computing, ISSN 1091-9856, was published as ORSA Journal on Computing from 1989 to 1995 under ISSN 0899-1499.

Keywords:
Generalization Resolution (logic) Rank (graph theory) Mathematical proof Plane (geometry) Connection (principal bundle) Inference Horn clause French horn Closure (psychology) Unit (ring theory) Computer science Cutting-plane method Mathematics Algorithm Artificial intelligence Combinatorics Geometry Logic programming Mathematical analysis Psychology

Metrics

37
Cited By
2.29
FWCI (Field Weighted Citation Impact)
0
Refs
0.91
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Logic, Reasoning, and Knowledge
Physical Sciences →  Computer Science →  Artificial Intelligence
Advanced Algebra and Logic
Physical Sciences →  Computer Science →  Computational Theory and Mathematics
Semantic Web and Ontologies
Physical Sciences →  Computer Science →  Artificial Intelligence

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