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SOLUTIONS & INSTRUCTOR MANUAL Artificial Intelligence: A Modern Approach, 4th Edition by Peter Norvig and Stuart Russell, Chapters 1 – 28   $18.49   Add to cart

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

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

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  • October 18, 2024
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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
7



1 Introduction ...
7777 7 7 7



2 Intelligent Agents ...
7777 7 7 7 7




II Problem-solving
7



3 Solving Problems by Searching ...
7777 7 7 7 7 7 7



4 Search in Complex Environments ...
7777 7 7 7 7 7 7



5 Adversarial Search and Games ...
7777 7 7 7 7 7 7



6 Constraint Satisfaction Problems ...
7777 7 7 7 7 7



III Knowledge, reasoning, and planning
7 7 7 7



7 Logical Agents ...
7777 7 7 7 7



8 First-Order Logic ...
7777 7 7 7 7




9 Inference in First-Order Logic ...
7777 7 7 7 7 7



10 Knowledge Representation ...
7777 7 7 7 7



11 Automated Planning ...
7777 7 7 7 7



IV Uncertain knowledge and reasoning
7 7 7 7



12 Quantifying Uncertainty ...
7777 7 7 7 7



13 Probabilistic Reasoning ...
7777 7 7 7 7



14 Probabilistic Reasoning over Time ...
7777 7 7 7 7 7 7



15 Probabilistic Programming ...
7777 7 7 7 7




16 Making Simple Decisions ...
7777 7 7 7 7 7



17 Making Complex Decisions ...
7777 7 7 7 7 7



18 Multiagent Decision Making ...
7777 7 7 7 7 7



V Machine Learning
7 7

,7777 19 Learning from Examples ...
7 7 7 7 7



20 Learning Probabilistic Models ...
7777 7 7 7 7 7



21 Deep Learning ...
7777 7 7 7 7



22 Reinforcement Learning ...
7777 7 7 7 7




VI Communicating, perceiving, and acting
7 7 7 7



23 Natural Language Processing ...
7777 7 7 7 7 7



24 Deep Learning for Natural Language Processing ...
7777 7 7 7 7 7 7 7 7



25 Computer Vision ...
7777 7 7 7 7



26 Robotics ...
7777 7 7 7



VII Conclusions
7



27 Philosophy, Ethics, and Safety of AI ...
7777 7 7 7 7 7 7 7 7



28 The Future of AI
7777 7 7 7 7

, EXERCISES 7 7
1
INTRODUCTION
Note7that7for7many7of7the7questions7in7this7chapter,7we7give7references7where7answers7can7b
e7found7rather7than7writing7them7out—the7full7answers7would7be7far7too7long.

1.1 What Is AI?
7 7 7




Exercise71.1.#DEFA
Define7in7your7own7words:7 (a)7intelligence,7(b)7artificial7intelligence,7(c)7agent,7(d)7ra-
7tionality,7(e)7logical7reasoning.




a. Dictionary7definitions7of7intelligence7talk7about7“the7capacity7to7acquire7and7apply7k
nowledge”7or7“the7faculty7of7thought7and7reason”7or7“the7ability7to7comprehend7and7
profit7from7experience.”7 These7are7all7reasonable7answers,7but7if7we7want7something7
quantifiable7we7would7use7something7like7“the7ability7to7act7successfully7across7a7wid
e7range7of7objectives7in7complex7environments.”
b. We7define7artificial7intelligence7as7the7study7and7construction7of7agent7programs7tha
t7perform7well7in7a7given7class7of7environments,7for7a7given7agent7architecture;7they7d
o7the7right7thing.7 An7important7part7of7that7is7dealing7with7the7uncertainty7of7what7th
e7current7state7is,7what7the7outcome7of7possible7actions7might7be,7and7what7is7it7that7
we7really7desire.
c. We7define7an7agent7as7an7entity7that7takes7action7in7response7to7percepts7from7an7envi
-7ronment.
d. We7define7rationality7as7the7property7of7a7system7which7does7the7“right7thing”7given
7what7it7knows.7 See7Section72.27for7a7more7complete7discussion.7 The7basic7concept7i

s7perfect7rationality;7Section7??7describes7the7impossibility7of7achieving7perfect7ration
al-7ity7and7proposes7an7alternative7definition.
e. We7define7logical7reasoning7as7the7a7process7of7deriving7new7sentences7from7old,7suc
h7that7the7new7sentences7are7necessarily7true7if7the7old7ones7are7true.7(Notice7that7does7
not7refer7to7any7specific7syntax7or7formal7language,7but7it7does7require7a7well-
defined7notion7of7truth.)


Exercise71.1.#TURI
Read7Turing’s7original7paper7on7AI7(Turing,71950).7 In7the7paper,7he7discusses7several7obj
ections7to7his7proposed7enterprise7and7his7test7for7intelligence.7Which7objections7still7carry


©720237Pearson7Education,7Hoboken,7NJ.7All7rights7reserve
d.

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