JAM: Java agents for Meta-Learning over Distributed Databases
JAM: Java agents for Meta-Learning over Distributed Databases
JAM: Java agents for Meta-Learning over Distributed Databases
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companionpaperalsoavailablefromhttp://www.cs.columbia.edu/sal/<strong>JAM</strong>/PROJECT. 6FutureResearch Bayesexhibited80%TPand13%FPinonesettingand80%TPand19thethreebaseclassi- classiers.Theexperiments,settings,rationaleandresultshavebeenreportedindetailina erswiththeleastcorrelatederrorandintheseconditcombinedthefourmostaccuratebase<br />
Theirresolutionwillproduceanumberofenhancemements,including: The<strong>JAM</strong>prototypeisinanongoingstateofdevelopment.Anumberofissuesrequirestudy. Anintelligentandecientpairingprocess.Thedatasiteswillbeabletodiscernwhich produce(assuminganequalqualityinthetypeoflearningalgorithms). Amechanism<strong>for</strong>integratingnewknowledge.Moreandmoredatawillbecomeavailable,newtrendswillemergeandnewwaystobypassthedetectionmechanismswill datasitestheycamefrom.Therationalbehindthisisthatthemorecompatible, classierscontributepositivelyandthenchoosetocooperatemorecloselywiththe<br />
similartotheknowledgeimportedfromremotesources.<strong>Meta</strong>-<strong>Learning</strong>techniques bedevised.Wewillexplorewaystoincorporatethenewknowledgewithoutturning thepresentandolddataobsolete.Infact,newknowledgecanbetreatedinafashion representativeanddiverseadatabaseis,thebettertheclassiersthedatasitewill<br />
addressedbe<strong>for</strong>e,butfromadierentperspective.Datasiteswillnotonlyexchange multilevelone.Asmoreandmoreclassiersbecomeavailablewewillneedtoorganize themeciently.Thisisagainahierarchicalapproachrelatedtothescalabilityissue Multilevelmeta-learning.Wewillgeneralizetheonelevelmetalearningapproachtoa way,<strong>JAM</strong>willbecomealifelongsystemconstantlyaccumulatingusefulknowledge. nearfuturetheycanalsobeemployedtocombineknowledgeacquired<strong>over</strong>time.This havebeenalreadyinusetocombineknowledge<strong>over</strong>space(remotedatabases),inthe<br />
example,toimplementCID31()(seesection4)asasub-agentwhollycontainedwithin andhandle<strong>agents</strong>,oreventorealizeagentcompositionoperators.Itispossbile,<strong>for</strong> capabilitiesprovidedbyourproposedsystem,isthatitisveryeasytoimport,invoke happensrecursivelyallthewaydowntotheleavesofthetree).Infact,oneofthekey classiercarrieswithitallitschildrenmetaclassiersthroughwhichitwasbuilt;this baseclassiersbutentire"metaclassiertrees".Ametaclassiertreeisatreein<br />
themeta-classierM.Inthiscase,eachsub-agentisdenedasasimple<strong>Java</strong>object whicheachinternalnodeisametaclassierandeachleafisabaseclassier.(Ameta<br />
callablefromwithinM,andwhenthemeta-classieragentMistransmittedtoa remotesite,thesub-agent\travels"withit. Ascalabledecisionmakingprotocol.AsthenumberofparticipatingDatasitesand availabledatabasesincreases,communication,coordinationandeciencybecome problematic.WewillaugmenteachDatasiteofthesystemwithahierarchicaland distributedprotocoltofacilitatescalabilityandeliminatebottlenecks. 14
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