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SOLUTIONS & INSTRUCTOR MANUAL for Artificial Intelligence: A Modern Approach, 4th Edition by Peter Norvig and Stuart Russell Updated A+ $15.99   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

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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  • Artificial Intelligence: A Modern Approach
  • 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 Intelligences




1 Introduction ...
ssss s s s




2 Intelligent Agents ...
ssss s s s s




II Problem-solving
s




3 Solving Problems by Searching ...
ssss s s s s s s




4 Search in Complex Environments ...
ssss s s s s s s




5 Adversarial Search and Games ...
ssss s s s s s s




6 Constraint Satisfaction Problems ...
ssss s s s s s




III Knowledge, reasoning, and planning
s s s s




7 Logical Agents ...
ssss s s s s




8 First-Order Logic ...
ssss s s s s




9 Inference in First-Order Logic ...
ssss s s s s s




10 Knowledge Representation ...
ssss s s s s




11 Automated Planning ...
ssss s s s s




IV Uncertain knowledge and reasoning
s s s s




12 Quantifying Uncertainty ...
ssss s s s s




13 Probabilistic Reasoning ...
ssss s s s s




14 Probabilistic Reasoning over Time ...
ssss s s s s s s




15 Probabilistic Programming ...
ssss s s s s




16 Making Simple Decisions ...
ssss s s s s s




17 Making Complex Decisions ...
ssss s s s s s




18 Multiagent Decision Making ...
ssss s s s s s




V Machine Learning
s s

, 19 Learning from Examples ...
ssss s s s s s




20 Learning Probabilistic Models ...
ssss s s s s s




21 Deep Learning ...
ssss s s s s




22 Reinforcement Learning ...
ssss s s s s




VI Communicating, perceiving, and acting
s s s s




23 Natural Language Processing ...
ssss s s s s s




24 Deep Learning for Natural Language Processing ...
ssss s s s s s s s s




25 Computer Vision ...
ssss s s s s




26 Robotics ...
ssss s s s




VII Conclusions
s




27 Philosophy, Ethics, and Safety of AI ...
ssss s s s s s s s s




28 The Future of AI
ssss s s s s

, EXERCISES s s

1
INTRODUCTION
Notesthatsforsmanysofsthesquestionssinsthisschapter,swesgivesreferencesswheresanswersscansbesfo
undsrathersthanswritingsthemsout—thesfullsanswersswouldsbesfarstooslong.

1.1 What Is AI?
s s s




Exercises1.1.#DEFA
Definesinsyoursownswords:s (a)sintelligence,s(b)sartificialsintelligence,s(c)sagent,s(d)sra-
stionality,s(e)slogicalsreasoning.




a. Dictionarysdefinitionssofsintelligencestalksabouts“thescapacitystosacquiresandsapplyskno
wledge”sors“thesfacultysofsthoughtsandsreason”sors“thesabilitystoscomprehendsandsprofitsf
romsexperience.”s Thesesaresallsreasonablesanswers,sbutsifsweswantssomethingsquantifia
blesweswouldsusessomethingslikes“thesabilitystosactssuccessfullysacrosssaswidesrangesofsob
jectivessinscomplexsenvironments.”
b. Wesdefinesartificialsintelligencesassthesstudysandsconstructionsofsagentsprogramssthatsp
erformswellsinsasgivensclasssofsenvironments,sforsasgivensagentsarchitecture;stheysdosthes
rightsthing.s Ansimportantspartsofsthatsissdealingswithsthesuncertaintysofswhatsthescurrents
statesis,swhatsthesoutcomesofspossiblesactionssmightsbe,sandswhatsissitsthatswesreallysdesir
e.
c. Wesdefinesansagentsassansentitysthatstakessactionsinsresponsestosperceptssfromsansenvi-
sronment.

d. Wesdefinesrationalitysassthespropertysofsassystemswhichsdoessthes“rightsthing”sgivenswh
atsitsknows.s SeesSections2.2sforsasmorescompletesdiscussion.s Thesbasicsconceptsissperfec
tsrationality;sSections??sdescribessthesimpossibilitysofsachievingsperfectsrational-
sitysandsproposessansalternativesdefinition.


e. Wesdefineslogicalsreasoningsassthesasprocesssofsderivingsnewssentencessfromsold,ssuchsth
atsthesnewssentencessaresnecessarilystruesifsthesoldsonessarestrue.s(Noticesthatsdoessnotsrefer
stosanysspecificssyntaxsorsformalslanguage,sbutsitsdoessrequiresaswell-

definedsnotionsofstruth.)


Exercises1.1.#TURI
ReadsTuring’ssoriginalspapersonsAIs(Turing,s1950).s Insthespaper,shesdiscussessseveralsobjecti
onsstoshissproposedsenterprisesandshisstestsforsintelligence.sWhichsobjectionssstillscarry


©s2023sPearsonsEducation,sHoboken,sNJ.sAllsrightssreserved.

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