Boolean rings for intersection-based satisfiability

Nachum Dershowitz*, Jieh Hsiang, Guan Shieng Huang, Daher Kaiss

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

A potential advantage of using a Boolean-ring formalism for prepositional formulæ is the large measure of simplification it facilitates. We propose a combined linear and binomial representation for Booleanring polynomials with which one can easily apply Gaussian elimination and Horn-clause methods to advantage. We demonstrate that this framework, with its enhanced simplification, is especially amenable to intersection-based learning, as in recursive learning and the method of Stalmarck. Experiments support the idea that problem variables can be eliminated and search trees can be shrunk by incorporating learning in the form of Boolean-ring saturation.

Original languageEnglish
Title of host publicationLogic for Programming, Artificial Intelligence, and Reasoning - 13th International Conference, LPAR 2006, Proceedings
PublisherSpringer Verlag
Pages482-496
Number of pages15
ISBN (Print)3540482814, 9783540482819
DOIs
StatePublished - 2006
Event13th International Conference on Logic for Programming, Artificial Intelligence, and Reasoning, LPAR 2006 - Phnom Penh, Cambodia
Duration: 13 Nov 200617 Nov 2006

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume4246 LNAI
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference13th International Conference on Logic for Programming, Artificial Intelligence, and Reasoning, LPAR 2006
Country/TerritoryCambodia
CityPhnom Penh
Period13/11/0617/11/06

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