Please use this identifier to cite or link to this item: https://research.matf.bg.ac.rs/handle/123456789/511
DC FieldValueLanguage
dc.contributor.authorJaničić, Predragen_US
dc.contributor.authorBundy, Alanen_US
dc.contributor.authorGreen, Ianen_US
dc.date.accessioned2022-08-13T10:14:42Z-
dc.date.available2022-08-13T10:14:42Z-
dc.date.issued1999-01-01-
dc.identifier.isbn3540662227-
dc.identifier.issn03029743en
dc.identifier.urihttps://research.matf.bg.ac.rs/handle/123456789/511-
dc.description.abstractThe role of decision procedures is often essential in theorem proving. Decision procedures can reduce the search space of heuristic components of a prover and increase its abilities. However, in some ap­plications only a small number of conjectures fall within the scope of the available decision procedures. Some of these conjectures could in an informal sense fall ‘just outside’ that scope. In these situations a problem arises because lemmas have to be invoked or the decision procedure has to communicate with the heuristic component of a theorem prover. This problem is also related to the general problem of how to flexibly integrate decision procedures into heuristic theorem provers. In this paper we ad­dress such problems and describe a framework for the flexible integration of decision procedures into other proof methods. The proposed frame­work can be used in different theorem provers, for different theories and for different decision procedures. New decision procedures can be simply ‘plugged-in’ to the system. As an illustration, we describe an instantia­tion of this framework within the Clam proof-planning system, to which it is well suited. We report on some results using this implementation.en_US
dc.language.isoenen_US
dc.publisherSpringeren_US
dc.relation.ispartofLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)en_US
dc.titleA framework for the flexible integration of a class of decision procedures into theorem proversen_US
dc.typeArticleen_US
dc.relation.publicationInternational Conference on Automated Deduction CADE 1999en_US
dc.identifier.doi10.1007/3-540-48660-7_9-
dc.identifier.scopus2-s2.0-84957618791-
dc.identifier.urlhttps://api.elsevier.com/content/abstract/scopus_id/84957618791-
dc.contributor.affiliationInformatics and Computer Scienceen_US
dc.relation.issn0302-9743en_US
dc.description.rankM21en_US
dc.relation.firstpage127en_US
dc.relation.lastpage141en_US
dc.relation.volume1632en_US
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.grantfulltextnone-
item.cerifentitytypePublications-
item.fulltextNo Fulltext-
item.openairetypeArticle-
item.languageiso639-1en-
crisitem.author.deptInformatics and Computer Science-
crisitem.author.orcid0000-0001-8922-4948-
Appears in Collections:Research outputs
Show simple item record

SCOPUSTM   
Citations

5
checked on Feb 12, 2026

Page view(s)

9
checked on Jan 19, 2025

Google ScholarTM

Check

Altmetric

Altmetric


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.