{"title":"Stable generated models, partial temporal logic and disjunctive defaults","authors":"Joeri Engelfriet , Heinrich Herre","doi":"10.1016/S0743-1066(99)00008-4","DOIUrl":null,"url":null,"abstract":"<div><p>Stable generated models for extended generalized logic programs with two kinds of negation provide a semantics for logic programming in its (up to now) most general form. We show that stable generated semantics for extended logic programs coincides with the semantics obtained by translating programs into a minimal partial temporal logic. Then we introduce several new versions of (disjunctive) default logic and show that there are strong (semantical) connections between default logic and logic programming with stable generated models.</p></div>","PeriodicalId":101236,"journal":{"name":"The Journal of Logic Programming","volume":"41 1","pages":"Pages 1-25"},"PeriodicalIF":0.0000,"publicationDate":"1999-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1016/S0743-1066(99)00008-4","citationCount":"5","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"The Journal of Logic Programming","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0743106699000084","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"1999/11/15 0:00:00","PubModel":"Epub","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 5
Abstract
Stable generated models for extended generalized logic programs with two kinds of negation provide a semantics for logic programming in its (up to now) most general form. We show that stable generated semantics for extended logic programs coincides with the semantics obtained by translating programs into a minimal partial temporal logic. Then we introduce several new versions of (disjunctive) default logic and show that there are strong (semantical) connections between default logic and logic programming with stable generated models.