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1、ProbabilisticReasoninginMulti-AgentSystemsAgraphicalmodelsapproachYangXiangPROBABILISTICREASONINGINMULTIAGENTSYSTEMSThisbookinvestigatestheopportunitiesinbuildingintelligentdecisionsupportsystemsofferedbymultiagentdistributedprobabilisticreasoning.Probabi
2、listicreasoningwithgraphicalmodels,alsoknownasBayesiannetworksorbeliefnetworks,hasbecomeanactivefieldofresearchandpracticeinartificialintelligence,operationsresearch,andstatisticsinthepasttwodecades.Thesuc-cessofthistechniqueinmodelingintelligentdecisionsup
3、portsystemsunderthecentralizedandsingle-agentparadigmhasbeenstriking.Inthisbook,theauthorex-tendsgraphicaldependencemodelstothedistributedandmultiagentparadigm.Heidentifiesthemajortechnicalchallengesinvolvedinsuchanendeavorandpresentstheresultsfromadecade’
4、sresearch.Theframeworkdevelopedinthebookallowsdistributedrepresentationofun-certainknowledgeonalargeandcomplexenvironmentembeddedinmultiplecooperativeagentsandeffective,exact,anddistributedprobabilisticinference.YangXiangisAssociateProfessorofComputingand
5、InformationScienceattheUniversityofGuelph,Canada,wherehedirectstheIntelligentDecisionSupportSystemLaboratory.HereceivedhisPh.D.fromtheUniversityofBritishColumbiaanddevelopedtheJava-basedtoolkitWebWeavr,whichhasbeendistributedtoregisteredusersinmorethan20c
6、ountries.HealsoservesasPrincipalInvestigatorintheInstituteofRoboticsandIntelligentSystems(IRIS),Canada.ThisPageIntentionallyLeftBlankPROBABILISTICREASONINGINMULTIAGENTSYSTEMSAGraphicalModelsApproachYANGXIANGUniversityofGuelphPUBLISHEDBYCAMBRIDGEUNIVERSITY
7、PRESS(VIRTUALPUBLISHING)FORANDONBEHALFOFTHEPRESSSYNDICATEOFTHEUNIVERSITYOFCAMBRIDGEThePittBuilding,TrumpingtonStreet,CambridgeCB2IRP40West20thStreet,NewYork,NY10011-4211,USA477WilliamstownRoad,PortMelbourne,VIC3207,Australiahttp://www.cambridge.org©YangXi
8、ang2002Thisedition©YangXiang2003Firstpublishedinprintedformat2002AcataloguerecordfortheoriginalprintedbookisavailablefromtheBritishLibraryandfromtheLibraryofCongressOriginalISBN0521813085hardbackISBN0511020740virtua
