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Subsumption algorithms for three-valued geometric resolution

  • University of Wrocław

Результат исследований

Аннотация

In an implementation of geometric resolution, the most costly operation is subsumption (or matching): One has to decide for a three-valued, geometric formula, whether this formula is false in a given interpretation. The formula contains only atoms with variables, equality, and existential quantifiers. The interpretation contains only atoms with constants. Because the atoms have no term structure, matching for geometric resolution is a hard problem. We translate the matching problem into a generalized constraint satisfaction problem, and give an algorithm that solves it efficiently. The algorithm uses learning techniques, similar to clause learning in propositional logic. Secondly, we adapt the algorithm in such a way that it finds solutions that use a minimal subset of the interpretation. The techniques presented in this paper may have applications in constraint solving.

Язык оригиналаEnglish
Название основной публикацииAutomated Reasoning - 8th International Joint Conference, IJCAR 2016, Proceedings
РедакторыNicola Olivetti, Ashish Tiwari
ИздательSpringer Verlag
Страницы257-272
Число страниц16
ISBN (печатное издание)9783319402284
DOI
СостояниеPublished - 2016
Опубликовано для внешнего пользованияДа
Событие8th International Joint Conference on Automated Reasoning, IJCAR 2016 - Coimbra
Продолжительность: июн. 27 2016июл. 2 2016

Серия публикаций

НазваниеLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Том9706
ISSN (печатное издание)0302-9743
ISSN (электронное издание)1611-3349

Conference

Conference8th International Joint Conference on Automated Reasoning, IJCAR 2016
Страна/TерриторияPortugal
ГородCoimbra
Период6/27/167/2/16

ASJC Scopus subject areas

  • Theoretical Computer Science
  • General Computer Science

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