Solutions Manual For Artificial Intelligence A Modern Approach 4th Edition By Stuart J. Russell and Peter Norvig (1)

SOLUTIONS & INSTRUCTOR MANUAL
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Artificial Intelligence: A Modern Approach, 4th Edition
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by Peter Norvig and Stuart Russell, Chapters 1 – 28
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,Artificial Intelligence
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MMMM 1 Introduction ...
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MMMM 2 Intelligent Agents ...
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II Problem-solving
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MMMM 3 Solving Problems by Searching ...
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MMMM 4 Search in Complex Environments ...
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MMMM 5 Adversarial Search and Games ...
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MMMM 6 Constraint Satisfaction Problems ...
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III Knowledge, reasoning, and planning
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MMMM 7 Logical Agents ...
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MMMM 8 First-Order Logic ...
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MMMM 9 Inference in First-Order Logic ...
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MMMM 10 Knowledge Representation ...
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MMMM 11 Automated Planning ...
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IV Uncertain knowledge and reasoning
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MMMM 12 Quantifying Uncertainty ...
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MMMM 13 Probabilistic Reasoning ...
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MMMM 14 Probabilistic Reasoning over Time ...
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MMMM 15 Probabilistic Programming ...
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MMMM 16 Making Simple Decisions ...
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MMMM 17 Making Complex Decisions ...
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MMMM 18 Multiagent Decision Making ...
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V Machine Learning
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, 19 Learning from Examples ...
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20 Learning Probabilistic Models ...
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21 Deep Learning ...
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22 Reinforcement Learning ...
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VI Communicating, perceiving, and acting
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23 Natural Language Processing ...
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24 Deep Learning for Natural Language Processing ...
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25 Computer Vision ...
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26 Robotics ...
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VII Conclusions
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27 Philosophy, Ethics, and Safety of AI ...
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28 The Future of AI
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, EXERCISES M M

1
INTRODUCTION
NoteMthatMforMmanyMofMtheMquestionsMinMthisMchapter,MweMgiveMreferencesMwhereManswersMc
anMbeMfoundMratherMthanMwritingMthemMout—theMfullManswersMwouldMbeMfarMtooMlong.

1.1 What Is AI?
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ExerciseM1.1.#DEFA
DefineMinMyourMownMwords:M (a)Mintelligence,M(b)MartificialMintelligence,M(c)Magent,M(d)Mra
-Mtionality,M(e)MlogicalMreasoning.


a. DictionaryMdefinitionsMofMintelligenceMtalkMaboutM“theMcapacityMtoMacquireMandMappl
yMknowledge”MorM“theMfacultyMofMthoughtMandMreason”MorM“theMabilityMtoMcomprehe
ndMandMprofitMfromMexperience.”M TheseMareMallMreasonableManswers,MbutMifMweMwant
MsomethingMquantifiableMweMwouldMuseMsomethingMlikeM“theMabilityMtoMactMsuccessful

lyMacrossMaMwideMrangeMofMobjectivesMinMcomplexMenvironments.”
b. WeMdefineMartificialMintelligenceMasMtheMstudyMandMconstructionMofMagentMprograms
MthatMperformMwellMinMaMgivenMclassMofMenvironments,MforMaMgivenMagentMarchitectur

e;MtheyMdoMtheMrightMthing.M AnMimportantMpartMofMthatMisMdealingMwithMtheMuncertain
tyMofMwhatMtheMcurrentMstateMis,MwhatMtheMoutcomeMofMpossibleMactionsMmightMbe,Man
dMwhatMisMitMthatMweMreallyMdesire.
c. WeMdefineManMagentMasManMentityMthatMtakesMactionMinMresponseMtoMperceptsMfromMan
Menvi-Mronment.

d. WeMdefineMrationalityMasMtheMpropertyMofMaMsystemMwhichMdoesMtheM“rightMthing”Mg
ivenMwhatMitMknows.M SeeMSectionM2.2MforMaMmoreMcompleteMdiscussion.M TheMbasicM
conceptMisMperfectMrationality;MSectionM??MdescribesMtheMimpossibilityMofMachievingMp
erfectMrational-MityMandMproposesManMalternativeMdefinition.
e. WeMdefineMlogicalMreasoningMasMtheMaMprocessMofMderivingMnewMsentencesMfromMold,
MsuchMthatMtheMnewMsentencesMareMnecessarilyMtrueMifMtheMoldMonesMareMtrue.M(NoticeMt

hatMdoesMnotMreferMtoManyMspecificMsyntaxMorMformalMlanguage,MbutMitMdoesMrequireMaM
well-definedMnotionMofMtruth.)


ExerciseM1.1.#TURI
ReadMTuring’sMoriginalMpaperMonMAIM(Turing,M1950).M InMtheMpaper,MheMdiscussesMseveral
MobjectionsMtoMhisMproposedMenterpriseMandMhisMtestMforMintelligence.MWhichMobjectionsMstillMca

rry

©M2023MPearsonMEducation,MHoboken,MNJ.MAllMrightsMreser
ved.