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SOLUTIONS & INSTRUCTOR MANUAL for Artificial Intelligence: A Modern Approach, 4th Edition by Peter Norvig and Stuart Russell Updated A+ $16.99   Add to cart

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SOLUTIONS & INSTRUCTOR MANUAL for Artificial Intelligence: A Modern Approach, 4th Edition by Peter Norvig and Stuart Russell Updated A+

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  • Artificial Intelligence: A Modern Approach
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  • Artificial Intelligence: A Modern Approach

SOLUTIONS & INSTRUCTOR MANUAL for Artificial Intelligence: A Modern Approach, 4th Edition by Peter Norvig and Stuart Russell Updated A+ 1 Introduction ... 1 2 Intelligent Agents ... 36 II Problem-solving 3 Solving Problems by Searching ... 63 4 Search in Complex Environments ... 110 5 Adversarial S...

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  • October 15, 2024
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  • Artificial Intelligence: A Modern Approach
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SOLUTIONS & INSTRUCTOR MANUAL
Artificial Intelligence: A Modern Approach, 4th Edition
by Peter Norvig and Stuart Russell, Chapters 1 – 28

,Artificial Intelligence
U



UUUU 1 Introduction ...
U U U



UUUU 2 Intelligent Agents ...
U U U U




II Problem-solving
U



UUUU 3 Solving Problems by Searching ...
U U U U U U



UUUU 4 Search in Complex Environments ...
U U U U U U



UUUU 5 Adversarial Search and Games ...
U U U U U U



UUUU 6 Constraint Satisfaction Problems ...
U U U U U



III Knowledge, reasoning, and planning
U U U U



UUUU 7 Logical Agents ...
U U U U



UUUU 8 First-Order Logic ...
U U U U




UUUU 9 Inference in First-Order Logic ...
U U U U U



UUUU 10 Knowledge Representation ...
U U U U



UUUU 11 Automated Planning ...
U U U U



IV Uncertain knowledge and reasoning
U U U U



UUUU 12 Quantifying Uncertainty ...
U U U U



UUUU 13 Probabilistic Reasoning ...
U U U U



UUUU 14 Probabilistic Reasoning over Time ...
U U U U U U



UUUU 15 Probabilistic Programming ...
U U U U




UUUU 16 Making Simple Decisions ...
U U U U U



UUUU 17 Making Complex Decisions ...
U U U U U



UUUU 18 Multiagent Decision Making ...
U U U U U



V Machine Learning
U U

, 19 Learning from Examples ...
UUUU U U U U U



20 Learning Probabilistic Models ...
UUUU U U U U U



21 Deep Learning ...
UUUU U U U U



22 Reinforcement Learning ...
UUUU U U U U




VI Communicating, perceiving, and acting
U U U U



23 Natural Language Processing ...
UUUU U U U U U



24 Deep Learning for Natural Language Processing ...
UUUU U U U U U U U U



25 Computer Vision ...
UUUU U U U U



26 Robotics ...
UUUU U U U



VII Conclusions
U



27 Philosophy, Ethics, and Safety of AI ...
UUUU U U U U U U U U



28 The Future of AI
UUUU U U U U

, EXERCISES U U
1
INTRODUCTION
NoteUthatUforUmanyUofUtheUquestionsUinUthisUchapter,UweUgiveUreferencesUwhereUanswersUc
anUbeUfoundUratherUthanUwritingUthemUout—theUfullUanswersUwouldUbeUfarUtooUlong.

1.1 What Is AI?
U U U




ExerciseU1.1.#DEFA
DefineUinUyourUownUwords:U (a)Uintelligence,U(b)UartificialUintelligence,U(c)Uagent,U(d)Ura-
Utionality,U(e)UlogicalUreasoning.




a. DictionaryUdefinitionsUofUintelligenceUtalkUaboutU―theUcapacityUtoUacquireUandUappl
yUknowledge‖UorU―theUfacultyUofUthoughtUandUreason‖UorU―theUabilityUtoUcomprehen
dUandUprofitUfromUexperience.‖U TheseUareUallUreasonableUanswers,UbutUifUweUwantU
somethingUquantifiableUweUwouldUuseUsomethingUlikeU―theUabilityUtoUactUsuccessfull
yUacrossUaUwideUrangeUofUobjectivesUinUcomplexUenvironments.‖
b. WeUdefineUartificialUintelligenceUasUtheUstudyUandUconstructionUofUagentUprograms
UthatUperformUwellUinUaUgivenUclassUofUenvironments,UforUaUgivenUagentUarchitectur

e;UtheyUdoUtheUrightUthing.U AnUimportantUpartUofUthatUisUdealingUwithUtheUuncertain
tyUofUwhatUtheUcurrentUstateUis,UwhatUtheUoutcomeUofUpossibleUactionsUmightUbe,Uan
dUwhatUisUitUthatUweUreallyUdesire.
c. WeUdefineUanUagentUasUanUentityUthatUtakesUactionUinUresponseUtoUperceptsUfromUan
Uenvi-Uronment.

d. WeUdefineUrationalityUasUtheUpropertyUofUaUsystemUwhichUdoesUtheU―rightUthing‖Ug
ivenUwhatUitUknows.U SeeUSectionU2.2UforUaUmoreUcompleteUdiscussion.U TheUbasicUc
onceptUisUperfectUrationality;USectionU??UdescribesUtheUimpossibilityUofUachievingUpe
rfectUrational-UityUandUproposesUanUalternativeUdefinition.
e. WeUdefineUlogicalUreasoningUasUtheUaUprocessUofUderivingUnewUsentencesUfromUold,U
suchUthatUtheUnewUsentencesUareUnecessarilyUtrueUifUtheUoldUonesUareUtrue.U(NoticeUth
atUdoesUnotUreferUtoUanyUspecificUsyntaxUorUformalUlanguage,UbutUitUdoesUrequireUaUw
ell-definedUnotionUofUtruth.)


ExerciseU1.1.#TURI
ReadUTuring‘sUoriginalUpaperUonUAIU(Turing,U1950).U InUtheUpaper,UheUdiscussesUseveral
UobjectionsUtoUhisUproposedUenterpriseUandUhisUtestUforUintelligence.UWhichUobjectionsUstillUcar

ry

©U2023UPearsonUEducation,UHoboken,UNJ.UAllUrightsUreser
ved.

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