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1、實例推理在澳門之研究黃志文,李怡平,王百鍵,麥炳源,韋孟宇澳門大學科技學院摘要實例推理(Case-BasedReasoning,CBR)是人工智能的其中一種方法。實例是指由電腦所儲存的某種物件或狀況。實例推理的推理方法有賴於儲存在實例庫中的實例,通過比對的方法,由實例庫中取出與用戶輸入的問題狀況配合的過往成功實例,再加上預先定義好的自調知識(Adaptationknowledge),以使調出實例符合目前的情況。本文描述實例推理的基本概念,推理週期,多種主要的自調方法,並對實例這種技術作一簡介。此外,本人亦描述實例推理在澳門
2、的多種應用領域。20ResearchofCase-basedReasoninginMacauVongChi-man,LiYi-ping,WongPak-kin,MakPeng-un,VaiMang-IFacultyofScienceandTechnologyUniversityofMacau,MacauAbstractCase-basedreasoning(CBR)isamethodologyinArtificialIntelligence(AI).Acaseisasituation,episode,etc.remembe
3、red(stored)byacomputer,andtheattempttoreuseitisthesubjectofcase-basedreasoning[3,4,5].CBRreasonsbymeansofpastcasesstoredinitscaselibrary,byretrievingsimilarcasesinthepastmatchedagainsttheuserinputproblemsituation,andthenusingpre-definedadaptationknowledgetoreuseth
4、eretrievedcasetofitcurrentsituation.ThispaperpresentsthebasicconceptsofCBR,itsreasoningcycle,themajorclassesofadaptationmethodsusedinCBRandabriefintroductionofcase-basedadaptation(CBA).Inaddition,severalapplicationsofCBRinMacauarepresentedinthepaper.1.Introduction
5、1.1WhatisCase-basedReasoning?Atitsmostsimple,CBRisbasedontheobservationthat,whenwesolveaproblem,weoftenbaseoursolutionononethatworkedsuccessfullyforasimilarprobleminthepast.AnexampleofCBRwouldbesomeonedrivingtoworkinthemorning.Thatpersondoesn’texplicitlyplanhisrou
6、te,hejusttakestherouteheusuallytakes.Ifthatpersonmeetsatrafficjam,hemayrememberhowheavoidedthatjaminthepast.Ifthatpersontriesanewroutetoavoidthetrafficjamandheissuccessful,hewillrememberitandperhapsuseitinthefuture.Anotherexamplewouldbeastudentdoingastatisticsassi
7、gnment.Whenheseesanewproblem,hewilltrytoseeifthereisanysimilaritybetweenthecurrentproblemandtheoneshelearnedintheclass.Ifthereexistsonepastproblemwhosesolutiontracesfitontothecurrentone,the20studentwouldapplythesamepastmethodtosolvethecurrentproblem.Theseexampless
8、howthemajortwostepsintheprocessofCBR––retrievalandadaptation,whichwillbediscussedfurther.AmoreformaldefinitionforCBR:CBRisasimpleproblem-solvingparadigm