Themostcomprehensive,up-to-dateintroductiontothetheoryandpracticeofartificialintelligenceThelong-anticipatedrevisionofArtificialIntelligence:AModernApproachexploresthefullbreadthanddepthofthefieldofartificialintelligence(AI).The4thEditionbringsreadersuptodateonthelatesttechnologies,presentsconceptsinamoreunifiedmanner,andoffersneworexpandedcoverageofmachinelearning,deeplearning,transferlearning,multiagentsystems,robotics,naturallanguageprocessing,causality,probabilisticprogramming,privacy,fairness,andsafeAI.IArtificialIntelligence1Introduction2IntelligentAgentsIIProblem-solving3SolvingProblemsbySearching4SearchinComplexEnvironments5ConstraintSatisfactionProblems6AdversarialSearchandGamesIIIKnowledge,reasoning,andplanning7LogicalAgents8First-OrderLogic9InferenceinFirst-OrderLogic10KnowledgeRepresentation11AutomatedPlanningIVUncertainknowledgeandreasoning12QuantifyingUncertainty13ProbabilisticReasoning14ProbabilisticReasoningoverTime15MakingSimpleDecisions16MakingComplexDecisions17MultiagentDecisionMaking18ProbabilisticProgrammingVMachineLearning19LearningfromExamples20KnowledgeinLearning21LearningProbabilisticModels22DeepLearning23ReinforcementLearningVICommunicating,perceiving,andacting24NaturalLanguageProcessing25DeepLearningforNaturalLanguageProcessing26Robotics27ComputerVisionVIIConclusions28Philosophy,Ethics,andSafetyofAI29TheFutureofAIAppendixA:MathematicalBackgroundAppendixB:NotesonLanguagesandAlgorithmsBibliographyIndex
Intel AI GE ROBOTICS transferlearning PRIVACY
