Offerthemostcomprehensive,up-to-dateintroductiontothetheoryandpracticeofartificialintelligence
‧Nontechnicallearningmaterialintroducesmajorconceptsusingintuitiveexplanations,beforegoingintomathematicaloralgorithmicdetails.Thenontechnicallanguagemakesthebookaccessibletoabroaderrangeofreaders.
‧AunifiedapproachtoAIshowsstudentshowthevarioussubfieldsofAIfittogethertobuildactual,usefulprograms.
‧UPDATED-ThebasicdefinitionofAIsystemsisgeneralizedtoeliminatethestandardassumptionthattheobjectiveisfixedandknownbytheintelligentagent;instead,theagentmaybeuncertainaboutthetrueobjectivesofthehuman(s)onwhosebehalfitoperates.
‧In-depthcoverageofbothbasicandadvancedtopicsprovidesstudentswithabasicunderstandingofthefrontiersofAIwithoutcompromisingcomplexityanddepth.
‧TheAuthor-MaintainedWebsiteathttp://aima.cs.berkeley.edu/includestext-relatedcommentsanddiscussions,exercises,anonlinecoderepository,InstructorResources,andmore!
‧UPDATED-Interactivestudentexercisesarenowfeaturedonthewebsitetoallowforcontinuousupdatingandadditions.
‧UPDATED-Onlinesoftwaregivesstudentsmoreopportunitiestocompleteprojects,includingimplementationsofthealgorithmsinthebook,plussupplementalcodingexamplesandapplicationsinPython,Java,andJavascript.
‧NEW-Instructionalvideotutorialsdeepenstudents’engagementandbringkeyconceptstolife.
‧Aflexibleformatmakesthetextadaptableforvaryinginstructors’preferences.
Staycurrentwiththelatesttechnologiesandpresentconceptsinamoreunifiedmanner
‧NEW-Newchaptersfeatureexpandedcoverageofprobabilisticprogramming(Ch.15);multiagentdecisionmaking(Ch.18withMichaelWooldridge);deeplearning(Ch.21withIanGoodfellow);anddeeplearningfornaturallanguageprocessing(Ch.24withJacobDevlinandMei-WingChang).
‧UPDATED-Increasedcoverageofmachinelearning.
‧UPDATED-Significantlyupdatedmaterialonroboticsincludesrobotsthatinteractwithhumansandtheapplicationofreinforcementlearningtorobotics.
‧NEW-NewsectiononcausalitybyJudeaPearl.
‧NEW-NewsectionsonMonteCarlosearchforgamesandrobotics.
‧NEW-Newsectionsontransferlearningfordeeplearningingeneralandfornaturallanguage.
‧NEW-Newsectionsonprivacy,fairness,thefutureofwork,andsafeAI.
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‧UPDATED-Revisedcoverageofcomputervision,naturallanguageunderstanding,andspeechrecognitionreflecttheimpactofdeeplearningmethodsonthesefields.
Themostcomprehensive,up-to-dateintroductiontothetheoryandpracticeofartificialintelligence
Thelong-anticipatedrevisionofArtificialIntelligence:AModernApproachexploresthefullbreadthanddepthofthefieldofartificialintelligence(AI).The4thEditionbringsreadersuptodateonthelatesttechnologies,presentsconceptsinamoreunifiedmanner,andoffersneworexpandedcoverageofmachinelearning,deeplearning,transferlearning,multiagentsystems,robotics,naturallanguageprocessing,causality,probabilisticprogramming,privacy,fairness,andsafeAI.
IArtificialIntelligence
1Introduction
2IntelligentAgents
IIProblem-solving
3SolvingProblemsbySearching
4SearchinComplexEnvironments
5ConstraintSatisfactionProblems
6AdversarialSearchandGames
IIIKnowledge,reasoning,andplanning
7LogicalAgents
8First-OrderLogic
9InferenceinFirst-OrderLogic
10KnowledgeRepresentation
11AutomatedPlanning
IVUncertainknowledgeandreasoning
12QuantifyingUncertainty
13ProbabilisticReasoning
14ProbabilisticReasoningoverTime
15MakingSimpleDecisions
16MakingComplexDecisions
17MultiagentDecisionMaking
18ProbabilisticProgramming
VMachineLearning
19LearningfromExamples
20KnowledgeinLearning
21LearningProbabilisticModels
22DeepLearning
23ReinforcementLearning
VICommunicating,perceiving,andacting
24NaturalLanguageProcessing
25DeepLearningforNaturalLanguageProcessing
26Robotics
27ComputerVision
VIIConclusions
28Philosophy,Ethics,andSafetyofAI
29TheFutureofAI
AppendixA:MathematicalBackground
AppendixB:NotesonLanguagesandAlgorithms
Bibliography
Index
Java Intel AI GE EDU ROBOTICS BERKELEY TRANSFERLEARNING THEFUTUREOFWORK CS NEW PRIVACY UPDATED AIMA CH
