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1、TheoreticalComputerScience410(2009)40674084ContentslistsavailableatScienceDirectTheoreticalComputerSciencejournalhomepage:www.elsevier.com/locate/tcsAnanalysisoftheexponentialdecayprincipleinprobabilistictrustmodelsEhabElSalamounya,KarlTikj?bKrukowb,VladimiroSassonea,aECS,Universit
2、yofSouthampton,UKbTrifork,Aarhus,DenmarkarticleinfoabstractResearchinmodelsforexperience-basedtrustmanagementhaseitherignoredtheproblemThispaperisdedicatedtoProfessorMogensofmodellingandreasoningaboutdynamicallychangingprincipalbehaviour,orprovidedNielsenontheoccasionofhis60thadhocso
3、lutionstoit.Probabilitytheoryprovidesafoundationforaddressingthisandbirthday,whoalongtheyearssharedwithmanyotherissuesinarigorousandmathematicallysoundmanner.UsingHiddenMarkovusresearchandmuchmore.ToyourModelstorepresentprincipalbehaviours,wefocusoncomputationaltrustframeworkssharpne
4、ssofmindandkindnessofspirit.basedonthe`beta'probabilitydistributionandtheprincipleofexponentialdecay,andKeywords:deriveapreciseanalyticalformulafortheestimationerrortheyinduce.ThisallowsTrustpotentialadoptersofbeta-basedcomputationaltrustframeworksandalgorithmstobetterComputationaltr
5、ustunderstandtheimplicationsoftheirchoice.Probabilistictrustmodels'2009ElsevierB.V.Allrightsreserved.HiddenMarkovModelsDecayprincipleBetadistribution1.IntroductionThispaperconcernsexperience-basedtrustmanagementsystems.Theterm`trustmanagement'isusuallyassociatedwiththetraditionalcred
6、ential-basedtrustmanagementsystemsinwhichtrustisestablishedprimarilyasafunctionofavailablecredentials(seee.g.[2]).Inexperience-basedsystems,trustinaprincipalisrepresentedasafunctionofinformationaboutpastprincipalbehaviour.Thisencompassesalsoreputationinformation,i.e.,informationabout
7、principalbehaviourobtainednotbydirectobservationbutfromothersources(e.g.,ratingsmadebyotherprincipals).Thereareseveralapproachestoexperience-basedtrustmanagement;thispaperisconcernedwiththeprobabilisticapproach,whichcanbroadlybecharacterisedasaimingtobuildprobabilisticmodelsuponwhich
8、tobasepredic
