版权说明:本文档由用户提供并上传,收益归属内容提供方,若内容存在侵权,请进行举报或认领
文档简介
人工智能
ObjectivesInthisclass,youwilllearnaboutWhatisartificialintelligenceKnowledgerepresentationRecognitiontasksReasoningtasksRoboticsIntroductionto
ArtificialIntelligenceWhatisintelligence?Thecapacitytoacquireandapplyknowledge.Thefacultyofthoughtandreason.Theabilitytolearnorunderstandortodealwithnewortryingsituations.MajorSubdivisionsofAIUnderstandingThinkingActingAI:UnderstandingComputerVision–understandingwhatyouseeAI:ThinkingCapturingStructureandReachingGoalsMachineLearningPlanningClusteringAI:ActingRoboticsConsiderAIuseinonecompanySearchSponseredLinksGoogleNewsGooglemapsIntroductionTuringtestAtestforintelligentbehaviorofmachinesAllowsahumanbeingtointerrogatetwoentities,bothhiddenfromtheinterrogatorAhumanbeingAmachine(acomputer)TheTuringTestIntroduction(continued)Turingtest(continued)Iftheinterrogatorisunabletodeterminewhichentityisthehumanbeingandwhichisthecomputer,thecomputerhaspassedthetestArtificialintelligencecanbethoughtofasconstructingcomputermodelsofhumanintelligenceADivisionofLaborCategoriesoftasksComputationaltasksRecognitiontasksReasoningtasksComputationaltasksTasksforwhichalgorithmicsolutionsexistComputersarebetter(fasterandmoreaccurate)thanhumanbeingsADivisionofLabor(continued)RecognitiontasksSensory/recognition/motor-skillstasksHumanbeingsarebetterthancomputersReasoningtasksRequirealargeamountofknowledgeHumanbeingsarefarbetterthancomputersFigure14.2HumanandComputerCapabilitiesKnowledgeRepresentationKnowledge:AbodyoffactsortruthsForacomputertomakeuseofknowledge,itmustbestoredwithinthecomputerinsomeformKnowledgeRepresentation(continued)KnowledgerepresentationschemesNaturallanguageFormallanguagePictorialGraphicalKnowledgeRepresentation(continued)RequiredcharacteristicsofaknowledgerepresentationschemeAdequacyEfficiencyExtendabilityAppropriatenessRecognitionTasksAneuronisacellinthebraincapableofReceivingstimulifromotherneuronsthroughitsdendritesSendingstimulitootherneuronsthroughitsaxonFigure14.4ANeuronRecognitionTasks(continued)Ifthesumofactivatingandinhibitingstimulireceivedbyaneuronequalsorexceedsitsthresholdvalue,theneuronsendsoutitsownsignalEachneuroncanbethoughtofasanextremelysimplecomputationaldevicewithasingleon/offoutputRecognitionTasks(continued)Humanbrain:AconnectionistarchitectureAlargenumberofsimple“processors”withmultipleinterconnectionsVonNeumannarchitectureAsmallnumber(maybeonlyone)ofverypowerfulprocessorswithalimitednumberofinterconnectionsbetweenthemRecognitionTasks(continued)Artificialneuralnetworks(neuralnetworks)SimulateindividualneuronsinhardwareConnecttheminamassivelyparallelnetworkofsimpledevicesthatactsomewhatlikebiologicalneuronsTheeffectofaneuralnetworkmaybesimulatedinsoftwareonasequential-processingcomputerRecognitionTasks(continued)NeuralnetworkEachneuronhasathresholdvalueIncominglinescarryweightsthatrepresentstimuliTheneuronfireswhenthesumoftheincomingweightsequalsorexceedsitsthresholdvalueAneuralnetworkcanbebuilttorepresenttheexclusiveOR,orXOR,operationFigure14.5OneNeuronwithThreeInputsFigure14.8TheTruthTableforXORRecognitionTasks(continued)NeuralnetworkBoththeknowledgerepresentationand“programming”arestoredasweightsoftheconnectionsandthresholdsoftheneuronsThenetworkcanlearnfromexperiencebymodifyingtheweightsonitsconnectionsReasoningTasksHumanreasoningrequirestheabilitytodrawonalargebodyoffactsandpastexperiencetocometoaconclusionArtificialintelligencespecialiststrytogetcomputerstoemulatethischaracteristicIntelligentSearchingState-spacegraphAfteranyonenodehasbeensearched,thereareahugenumberofnextchoicestotryThereisnoalgorithmtodictatethenextchoiceState-spacesearchFindsasolutionpaththroughastate-spacegraphFigure14.12AState-SpaceGraphwithExponentialGrowthIntelligentSearching(continued)EachnoderepresentsaproblemstateGoalstate:ThestatewearetryingtoreachIntelligentsearchingappliessomeheuristic(oraneducatedguess)toEvaluatethedifferencesbetweenthepresentstateandthegoalstateMovetoanewstatethatminimizesthosedifferencesSwarmIntelligenceSwarmintelligenceModelsthebehaviorofacolonyofantsSwarmintelligencemodelUsessimpleagentsthatOperateindependentlyCansensecertainaspectsoftheirenvironmentCanchangetheirenvironmentMay“evolve”andacquireadditionalcapabilitiesovertimeIntelligentAgentsAnintelligentagent:SoftwarethatinteractscollaborativelywithauserInitiallyanintelligentagentsimplyfollowsusercommandsIntelligentAgents(continued)OvertimeAgentinitiatescommunication,takesaction,andperformstasksonitsownusingitsknowledgeoftheuser’sneedsandpreferencesExpertSystemsRule-basedsystemsAlsocalledexpertsystemsorknowledge-basedsystemsAttempttomimicthehumanabilitytoengagepertinentfactsandcombinetheminalogicalwaytoreachsomeconclusionExpertSystems(continued)Arule-basedsystemmustcontainAknowledgebase:SetoffactsaboutsubjectmatterAninferenceengine:MechanismforselectingrelevantfactsandforreasoningfromtheminalogicalwayManyrule-basedsystemsalsocontainAnexplanationfacility:AllowsusertoseeassertionsandrulesusedinarrivingataconclusionExpertSystems(continued)Afactcanbe
AsimpleassertionArule:Astatementoftheformif...then...Modusponens(methodofassertion)ThereasoningprocessusedbytheinferenceengineExpertSystems(continued)InferenceenginescanproceedthroughForwardchainingBackwardchainingForwardchainingBeginswithassertionsandtriestomatchthoseassertionsto“if”clausesofrules,therebygeneratingnewassertionsExpertSystems(continued)BackwardchainingBeginswithaproposedconclusionTriestomatchitwiththe“then”clausesofrulesThenlooksatthecorresponding“if”clausesTriestomatchthosewithassertionsorwiththe“then”clausesofotherrulesExpertSystems(continued)Arule-basedsystemisbuiltthroughaprocesscalledknowledgeengineering
BuilderofsystemacquiresinformationforknowledgebasefromexpertsinthedomainRoboticsRobot:DevicethatcangathersensoryinformationautonomouslyManyusesforrobots(automanufacturing,bombdisposal,exploration,microsurgery)Deliberativestrategy:RobothasaninternalrepresentationofitsenvironmentReactivestrategy:
Usesheuristicalgorithmstoallowrobottoresponddirectly
温馨提示
- 1. 本站所有资源如无特殊说明,都需要本地电脑安装OFFICE2007和PDF阅读器。图纸软件为CAD,CAXA,PROE,UG,SolidWorks等.压缩文件请下载最新的WinRAR软件解压。
- 2. 本站的文档不包含任何第三方提供的附件图纸等,如果需要附件,请联系上传者。文件的所有权益归上传用户所有。
- 3. 本站RAR压缩包中若带图纸,网页内容里面会有图纸预览,若没有图纸预览就没有图纸。
- 4. 未经权益所有人同意不得将文件中的内容挪作商业或盈利用途。
- 5. 人人文库网仅提供信息存储空间,仅对用户上传内容的表现方式做保护处理,对用户上传分享的文档内容本身不做任何修改或编辑,并不能对任何下载内容负责。
- 6. 下载文件中如有侵权或不适当内容,请与我们联系,我们立即纠正。
- 7. 本站不保证下载资源的准确性、安全性和完整性, 同时也不承担用户因使用这些下载资源对自己和他人造成任何形式的伤害或损失。
最新文档
- 【正版授权】 ISO 2000:2003 EN Rubber,raw natural - Guidelines for the specification of technically specified rubber (TSR)
- 【正版授权】 ISO 19973-4:2007 EN Pneumatic fluid power - Assessment of component reliability by testing - Part 4: Pressure regulators
- 【正版授权】 ISO 19962:2019 EN Optics and photonics - Spectroscopic measurement methods for integrated scattering by plane parallel optical elements
- 【正版授权】 ISO 197-4:1983 EN Copper and copper alloys - Terms and definitions - Part 4: Castings
- 【正版授权】 ISO 197-2:1983 EN Copper and copper alloys - Terms and definitions - Part 2: Unwrought products (Refinery shapes)
- 【正版授权】 ISO 19603:2016 EN Fine ceramics (advanced ceramics,advanced technical ceramics) - Test method for determining elastic modulus and bending strength of thick ceramic coatings
- 【正版授权】 ISO 19433:2008 EN Building construction machinery and equipment - Pedestrian-controlled vibratory plates - Terminology and commercial specifications
- 【正版授权】 ISO 1942-3:1989 EN/FR Title missing - Legacy paper document
- 【正版授权】 ISO 19361:2017 EN Measurement of radioactivity - Determination of beta emitters activities - Test method using liquid scintillation counting
- 【正版授权】 ISO 19252:2008 EN Plastics - Determination of scratch properties
- 2022-2023学年广东省广州市越秀区七年级下学期英语期末模拟试题二(含答案)
- 违规收受礼金剖析材料
- 2014xxxxx医学伦理委员会审批件模板
- case-study-模版的主要内容
- DB11T 854-2023 占道作业交通安全设施设置技术要求
- 小学语文阅读与习作素养能力测试题(附参考答案)
- 万家企业节能目标考核自查报告2023年(定稿版) 修改
- 某化纤厂供配电系统设计报告
- 如何提高跳绳成绩的方法【教学参考】
- 公司奖励旅游方案
- 耳穴诊治常见疾病(讲)
评论
0/150
提交评论