horn clauses and feature-structure logic principles and unification algorithms

horn clauses and feature-structure logic principles and unification algorithms

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时间:2019-03-07

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1、HornClausesandFeature-StructureLogic:PrinciplesandUni cationAlgorithmsyStephenJ.HegnerUniversityofBergenDepartmentofInformaticsBergenHigh-TechnologyCenterN-5020Bergen,NorwayInternet:hegner@ii.uib.no(Revised:June1993)ThispaperappearsasReportNo.1,June1993,intheseriesReportsinLogic,Language,an

2、dInformation,publishedby:UniversityofOslo,DepartmentofLin-guistics,P.O.Box1102,N-0317Oslo,Norway.AnabbreviatedversionofthisreportappearsinthebookConstraints,LanguageandComputation,editedbyM.Rosner,C.J.Rupp,andR.Johnson,publishedbyAcademicPress,1994,pp.111-147.AbstractThedesirabilityofHorncl

3、ausesinlogicaldeductivesystemshaslongbeenrecog-nized.Thereasonsareatleastthreefold.Firstly,whileinferencealgorithmsforfulllogicsofanyreasonableextentaretypicallyintractable,forsystemsrestrictedtoHornclausesthepictureismuchbetter.(Forexample,inordinarypropositionallogic,whilethefullsatis abi

4、lityproblemisNP-complete,alinear-timealgorithmexistsforHornclauses.)Secondly,theknowledge-representationcapabilitiesofHornclauses,whileweakerthanthoseofthefulllogic,remainremarkablyrich;indeed,farricherthanthatofsimpleconjunctivelogicalone.Thirdly,Hornclausesde nethemaximalsubsetofafulllogi

5、cwhichhasthepropertyofadmittinggenericmodels,whichroughlymeansthatforanysetofHornclauses,thereisaleastmodeloftheclausesinthatset.ItisthepurposeofthispapertoinitiateaninvestigationofHornclauselogicforanextendedclassoffeaturestructures.Afterlayingthegroundworkforthiscontext,weprovidetwokeyres

6、ults.Inthe rst,weshowhowthepropertyofad-mittinggenericmodelscanbeextendedtofeaturestructurelogic,anddemonstratetheimportanceofthispropertyingeneralizingtheuseofordinaryfeaturestructuresinuni cation-basedformalisms.Oursecondcontributionisatractableuni cationalgorithmforextendedfeaturestructu

7、resconstrainedbyHornclauses.Thisalgo-rithmisanintegrationofthetraditionaluni cationalgorithmforfeaturestructuresandthelinear-timeinferencealgorithmforpropositionallogic.yCurrentaddress:DepartmentofComputerScienceandElectricalEngineering,VoteyBuilding,Uni

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