Artificial Intelligence: A Modern Approach, 4th Edition
by Peter Norvig and Stuart Russell, Chapters 1 – 28
,Artificial Intelligence
gb
gbgbgbgb 1 Introduction ...
gb gb gb
gbgbgbgb 2 Intelligent Agents ...
gb gb gb gb
II Problem-solving
gb
gbgbgbgb 3 Solving Problems by Searching ...
gb gb gb gb gb gb
gbgbgbgb 4 Search in Complex Environments ...
gb gb gb gb gb gb
gbgbgbgb 5 Adversarial Search and Games ...
gb gb gb gb gb gb
gbgbgbgb 6 Constraint Satisfaction Problems ...
gb gb gb gb gb
III Knowledge, reasoning, and planning
gb gb gb gb
gbgbgbgb 7 Logical Agents ...
gb gb gb gb
gbgbgbgb 8 First-Order Logic ...
gb gb gb gb
gbgbgbgb 9 Inference in First-Order Logic ...
gb gb gb gb gb
gbgbgbgb 10 Knowledge Representation ...
gb gb gb gb
gbgbgbgb 11 Automated Planning ...
gb gb gb gb
IV Uncertain knowledge and reasoning
gb gb gb gb
gbgbgbgb 12 Quantifying Uncertainty ...
gb gb gb gb
gbgbgbgb 13 Probabilistic Reasoning ...
gb gb gb gb
gbgbgbgb 14 Probabilistic Reasoning over Time ...
gb gb gb gb gb gb
gbgbgbgb 15 Probabilistic Programming ...
gb gb gb gb
gbgbgbgb 16 Making Simple Decisions ...
gb gb gb gb gb
gbgbgbgb 17 Making Complex Decisions ...
gb gb gb gb gb
gbgbgbgb 18 Multiagent Decision Making ...
gb gb gb gb gb
V Machine Learning
gb gb
,gbgbgbgb 19 Learning from Examples ...
gb gb gb gb gb
gbgbgbgb 20 Learning Probabilistic Models ...
gb gb gb gb gb
gbgbgbgb 21 Deep Learning ...
gb gb gb gb
gbgbgbgb 22 Reinforcement Learning ...
gb gb gb gb
VI Communicating, perceiving, and acting
gb gb gb gb
gbgbgbgb 23 Natural Language Processing ...
gb gb gb gb gb
gbgbgbgb 24 Deep Learning for Natural Language Processing ...
gb gb gb gb gb gb gb gb
gbgbgbgb 25 Computer Vision ...
gb gb gb gb
gbgbgbgb 26 Robotics ...
gb gb gb
VII Conclusions
gb
gbgbgbgb 27 Philosophy, Ethics, and Safety of AI ...
gb gb gb gb gb gb gb gb
gbgbgbgb 28 The Future of AI
gb gb gb gb
, EXERCISES g b gb
1
INTRODUCTION
Notegbthatgbforgbmanygbofgbthegbquestionsgbingbthisgbchapter,gbwegbgivegbreferencesgbwheregbanswe
rsgbcangbbegbfoundgbrathergbthangbwritinggbthemgbout—
thegbfullgbanswersgbwouldgbbegbfargbtoogblong.
1.1 What Is AI?
g b gb gb
Exercisegb1.1.#DEFA
Definegbingbyourgbowngbwords:g b (a)gbintelligence,gb(b)gbartificialgbintelligence,gb(c)gbagent,gb(
d)gbra-gbtionality,gb(e)gblogicalgbreasoning.
a. Dictionarygbdefinitionsgbofgbintelligencegbtalkgbaboutgb“thegbcapacitygbtogbacquiregbandgb
applygbknowledge”gborgb“thegbfacultygbofgbthoughtgbandgbreason”gborgb“thegbabilitygbtogbc
omprehendgbandgbprofitgbfromgbexperience.”g b Thesegbaregballgbreasonablegbanswers,gbbu
tgbifgbwegbwantgbsomethinggbquantifiablegbwegbwouldgbusegbsomethinggblikegb“thegbabilityg
btogbactgbsuccessfullygbacrossgbagbwidegbrangegbofgbobjectivesgbingbcomplexgbenvironments
.”
b. Wegbdefinegbartificialgbintelligencegbasgbthegbstudygbandgbconstructiongbofgbagentgbprogr
amsgbthatgbperformgbwellgbingbagbgivengbclassgbofgbenvironments,gbforgbagbgivengbagentgbar
chitecture;gbtheygbdogbthegbrightgbthing.g b Angbimportantgbpartgbofgbthatgbisgbdealinggbwith
gbthegbuncertaintygbofgbwhatgbthegbcurrentgbstategbis,gbwhatgbthegboutcomegbofgbpossiblegba
ctionsgbmightgbbe,gbandgbwhatgbisgbitgbthatgbwegbreallygbdesire.
c. Wegbdefinegbangbagentgbasgbangbentitygbthatgbtakesgbactiongbingbresponsegbtogbperceptsgbfro
mgbangbenvi-gbronment.
d. Wegbdefinegbrationalitygbasgbthegbpropertygbofgbagbsystemgbwhichgbdoesgbthegb“rightgbthin
g”gbgivengbwhatgbitgbknows.g b SeegbSectiongb2.2gbforgbagbmoregbcompletegbdiscussion.g b T
hegbbasicgbconceptgbisgbperfectgbrationality;gbSectiongb??gbdescribesgbthegbimpossibilitygbof
gbachievinggbperfectgbrational-gbitygbandgbproposesgbangbalternativegbdefinition.
e. Wegbdefinegblogicalgbreasoninggbasgbthegbagbprocessgbofgbderivinggbnewgbsentencesgbfromgb
old,gbsuchgbthatgbthegbnewgbsentencesgbaregbnecessarilygbtruegbifgbthegboldgbonesgbaregbtrue.gb(
Noticegbthatgbdoesgbnotgbrefergbtogbanygbspecificgbsyntaxgborgbformalgblanguage,gbbutgbitgbdoesg
brequiregbagbwell-definedgbnotiongbofgbtruth.)
Exercisegb1.1.#TURI
ReadgbTuring’sgboriginalgbpapergbongbAIgb(Turing,gb1950).g b Ingbthegbpaper,gbhegbdiscussesgbse
veralgbobjectionsgbtogbhisgbproposedgbenterprisegbandgbhisgbtestgbforgbintelligence.gbWhichgbobjections
gbstillgbcarry ©gb2023gbPearsongbEducation,gbHoboken,gbNJ.gbAllgbrightsgb
reserved.