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SOLUTIONS & INSTRUCTOR MANUAL for Artificial Intelligence: A Modern Approach, 4th Edition by Peter Norvig and Stuart Russell Updated A+ R328,42   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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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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  • September 28, 2024
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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 Intelligence
w



wwww 1 Introduction ...
w w w



wwww 2 Intelligent Agents ...
w w w w




II Problem-solving
w



wwww 3 Solving Problems by Searching ...
w w w w w w



wwww 4 Search in Complex Environments ...
w w w w w w



wwww 5 Adversarial Search and Games ...
w w w w w w



wwww 6 Constraint Satisfaction Problems ...
w w w w w



III Knowledge, reasoning, and planning
w w w w



wwww 7 Logical Agents ...
w w w w



wwww 8 First-Order Logic ...
w w w w




wwww 9 Inference in First-Order Logic ...
w w w w w



wwww 10 Knowledge Representation ...
w w w w



wwww 11 Automated Planning ...
w w w w



IV Uncertain knowledge and reasoning
w w w w



wwww 12 Quantifying Uncertainty ...
w w w w



wwww 13 Probabilistic Reasoning ...
w w w w



wwww 14 Probabilistic Reasoning over Time ...
w w w w w w



wwww 15 Probabilistic Programming ...
w w w w




wwww 16 Making Simple Decisions ...
w w w w w



wwww 17 Making Complex Decisions ...
w w w w w



wwww 18 Multiagent Decision Making ...
w w w w w



V Machine Learning
w w

,wwww 19 Learning from Examples ...
w w w w w



20 Learning Probabilistic Models ...
wwww w w w w w



21 Deep Learning ...
wwww w w w w



22 Reinforcement Learning ...
wwww w w w w




VI Communicating, perceiving, and acting
w w w w



23 Natural Language Processing ...
wwww w w w w w



24 Deep Learning for Natural Language Processing ...
wwww w w w w w w w w



25 Computer Vision ...
wwww w w w w



26 Robotics ...
wwww w w w



VII Conclusions
w



27 Philosophy, Ethics, and Safety of AI ...
wwww w w w w w w w w



28 The Future of AI
wwww w w w w

, EXERCISES w w
1
INTRODUCTION
Notewthatwforwmanywofwthewquestionswinwthiswchapter,wwewgivewreferenceswwherewanswerswc
anwbewfoundwratherwthanwwritingwthemwout—thewfullwanswerswwouldwbewfarwtoowlong.

1.1 What Is AI?
w w w




Exercisew1.1.#DEFA
Definewinwyourwownwwords:w (a)wintelligence,w(b)wartificialwintelligence,w(c)wagent,w(d)wra-
wtionality,w(e)wlogicalwreasoning.




a. Dictionarywdefinitionswofwintelligencewtalkwaboutw“thewcapacitywtowacquirewandwappl
ywknowledge”worw“thewfacultywofwthoughtwandwreason”worw“thewabilitywtowcomprehen
dwandwprofitwfromwexperience.”w Thesewarewallwreasonablewanswers,wbutwifwwewwantw
somethingwquantifiablewwewwouldwusewsomethingwlikew“thewabilitywtowactwsuccessfull
ywacrosswawwidewrangewofwobjectiveswinwcomplexwenvironments.”
b. Wewdefinewartificialwintelligencewaswthewstudywandwconstructionwofwagentwprograms
wthatwperformwwellwinwawgivenwclasswofwenvironments,wforwawgivenwagentwarchitectur

e;wtheywdowthewrightwthing.w Anwimportantwpartwofwthatwiswdealingwwithwthewuncertain
tywofwwhatwthewcurrentwstatewis,wwhatwthewoutcomewofwpossiblewactionswmightwbe,wan
dwwhatwiswitwthatwwewreallywdesire.
c. Wewdefinewanwagentwaswanwentitywthatwtakeswactionwinwresponsewtowperceptswfromwan
wenvi-wronment.

d. Wewdefinewrationalitywaswthewpropertywofwawsystemwwhichwdoeswthew“rightwthing”wg
ivenwwhatwitwknows.w SeewSectionw2.2wforwawmorewcompletewdiscussion.w Thewbasicwc
onceptwiswperfectwrationality;wSectionw??wdescribeswthewimpossibilitywofwachievingwpe
rfectwrational-witywandwproposeswanwalternativewdefinition.
e. Wewdefinewlogicalwreasoningwaswthewawprocesswofwderivingwnewwsentenceswfromwold,w
suchwthatwthewnewwsentenceswarewnecessarilywtruewifwthewoldwoneswarewtrue.w(Noticewth
atwdoeswnotwreferwtowanywspecificwsyntaxworwformalwlanguage,wbutwitwdoeswrequirewaww
ell-definedwnotionwofwtruth.)


Exercisew1.1.#TURI
ReadwTuring’sworiginalwpaperwonwAIw(Turing,w1950).w Inwthewpaper,whewdiscusseswseveral
wobjectionswtowhiswproposedwenterprisewandwhiswtestwforwintelligence.wWhichwobjectionswstillwcar

ry

©w2023wPearsonwEducation,wHoboken,wNJ.wAllwrightswreser
ved.

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