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Probability, Decisions and Games: A Gentle Introduction using R PDF

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Probability,DecisionsandGames Probability, Decisions and Games AGentleIntroductionusingR AbelRodríguez BrunoMendes Thiseditionfirstpublished2018 ©2018JohnWiley&Sons,Inc. Allrightsreserved.Nopartofthispublicationmaybereproduced,storedinaretrievalsystem,or transmitted,inanyformorbyanymeans,electronic,mechanical,photocopying,recordingor otherwise,exceptaspermittedbylaw.Adviceonhowtoobtainpermissiontoreusematerialfrom thistitleisavailableathttp://www.wiley.com/go/permissions. TherightofAbelRodríguezandBrunoMendestobeidentifiedastheauthorsofthisworkhas beenassertedinaccordancewithlaw. RegisteredOffices JohnWiley&Sons,Inc.,111RiverStreet,Hoboken,NJ07030,USA EditorialOffice 111RiverStreet,Hoboken,NJ07030,USA Fordetailsofourglobaleditorialoffices,customerservices,andmoreinformationaboutWiley productsvisitusatwww.wiley.com. Wileyalsopublishesitsbooksinavarietyofelectronicformatsandbyprint-on-demand.Some contentthatappearsinstandardprintversionsofthisbookmaynotbeavailableinotherformats. LimitofLiability/DisclaimerofWarranty Thepublisherandtheauthorsmakenorepresentationsorwarrantieswithrespecttotheaccuracy orcompletenessofthecontentsofthisworkandspecificallydisclaimallwarranties;including withoutlimitationanyimpliedwarrantiesoffitnessforaparticularpurpose.Thisworkissold withtheunderstandingthatthepublisherisnotengagedinrenderingprofessionalservices.The adviceandstrategiescontainedhereinmaynotbesuitableforeverysituation.Inviewofon-going research,equipmentmodifications,changesingovernmentalregulations,andtheconstantflow ofinformationrelatingtotheuseofexperimentalreagents,equipment,anddevices,thereaderis urgedtoreviewandevaluatetheinformationprovidedinthepackageinsertorinstructionsfor eachchemical,pieceofequipment,reagent,ordevicefor,amongotherthings,anychangesinthe instructionsorindicationofusageandforaddedwarningsandprecautions.Thefactthatan organizationorwebsiteisreferredtointhisworkasacitationand/orpotentialsourceoffurther informationdoesnotmeanthattheauthororthepublisherendorsestheinformationthe organizationorwebsitemayprovideorrecommendationsitmaymake.Further,readersshould beawarethatwebsiteslistedinthisworkmayhavechangedordisappearedbetweenwhenthis workswaswrittenandwhenitisread.Nowarrantymaybecreatedorextendedbyany promotionalstatementsforthiswork.Neitherthepublishernortheauthorshallbeliableforany damagesarisingherefrom. LibraryofCongressCataloging-in-PublicationData: Names:Rodríguez,Abel,1975-author.|Mendes,Bruno,1970-author. Title:Probability,decisions,andgames:agentleintroductionusingR/by AbelRodríguez,BrunoMendes. Description:Hoboken,NJ:Wiley,2018.|Includesindex.| Identifiers:LCCN2017047636(print)|LCCN2017059013(ebook)|ISBN 9781119302612(pdf)|ISBN9781119302629(epub)|ISBN9781119302605(pbk.) Subjects:LCSH:Gametheory–Textbooks.|Gametheory–Dataprocessing.| Statisticaldecision–Textbooks.|Statisticaldecision–Dataprocessing. |Probabilities–Textbooks.|Probabilities–Dataprocessing.|R (Computerprogramlanguage) Classification:LCCQA269(ebook)|LCCQA269.R632018(print)|DDC 519.30285/5133–dc23 LCrecordavailableathttps://lccn.loc.gov/2017047636 Coverdesign:Wiley Coverimage:©Jupiterimages/GettyImages Setin10/12ptWarnockProbySPiGlobal,Chennai,India PrintedintheUnitedStatesofAmerica 10 9 8 7 6 5 4 3 2 1 ToSabrina Abel Tomyfamily Bruno vii Contents Preface xi Acknowledgments xv AbouttheCompanionWebsite xvii 1 AnIntroductiontoProbability 1 1.1 WhatisProbability? 1 1.2 OddsandProbabilities 5 1.3 EquiprobableOutcomeSpacesandDeMéré’sProblem 6 1.4 ProbabilitiesforCompoundEvents 9 1.5 Exercises 12 2 ExpectationsandFairValues 15 2.1 RandomVariables 15 2.2 ExpectedValues 16 2.3 FairValueofaBet 19 2.4 ComparingWagers 19 2.5 UtilityFunctionsandRationalChoiceTheory 23 2.6 LimitationsofRationalChoiceTheory 24 2.7 Exercises 26 3 Roulette 31 3.1 RulesandBets 31 3.2 CombiningBets 37 3.3 BiasedWheels 38 3.4 Exercises 42 4 LottoandCombinatorialNumbers 45 4.1 RulesandBets 45 4.1.1 TheColoradoLotto 45 4.1.2 TheCaliforniaSuperlotto 51 viii Contents 4.2 SharingProfits:DeMéré’sSecondProblem 52 4.3 Exercises 55 5 TheMontyHallParadoxandConditionalProbabilities 59 5.1 TheMontyHallParadox 59 5.2 ConditionalProbabilities 62 5.3 IndependentEvents 65 5.4 BayesTheorem 66 5.5 Exercises 70 6 Craps 75 6.1 RulesandBets 75 6.1.1 ThePassLineBet 75 6.1.2 TheDon’tPassLineBet 84 6.1.3 TheComeandDon’tComeBets 85 6.1.4 SideBets 85 6.2 Exercises 86 7 RouletteRevisited 89 7.1 GamblingSystems 89 7.1.1 MartingaleDoublingSystems 89 7.1.2 TheLabouchèreSystem 92 7.1.3 D’AlembertSystems 94 7.2 YouareaBigWinner! 96 7.3 HowLongwillMyMoneyLast? 97 7.4 IsThisWheelBiased? 101 7.5 BernoulliTrials 102 7.6 Exercises 103 8 Blackjack 107 8.1 RulesandBets 107 8.2 BasicStrategyinBlackjack 109 8.3 AGamblingSystemthatWorks:CardCounting 114 8.4 Exercises 117 9 Poker 121 9.1 BasicRules 121 9.2 VariantsofPoker 123 9.3 AdditionalRules 124 9.4 ProbabilitiesofHandsinDrawPoker 124 9.4.1 TheEffectofCardSubstitutions 127 9.5 ProbabilitiesofHandsinTexasHold’em 128 9.6 Exercises 132 Contents ix 10 StrategicZero-SumGameswithPerfectInformation 135 10.1 GameswithDominantStrategies 135 10.2 SolvingGameswithDominantandDominatedStrategies 139 10.3 GeneralSolutionsforTwoPersonZero-SumGames 143 10.4 Exercises 144 11 Rock–Paper–Scissors:MixedStrategiesinZero-Sum Games 147 11.1 FindingMixed-StrategyEquilibria 148 11.2 MixedStrategyEquilibriainSports 152 11.3 BluffingasaStrategicGamewithaMixed-Strategy Equilibrium 153 11.4 Exercises 159 12 ThePrisoner’sDilemmaandOtherStrategicNon-zero-sum Games 161 12.1 ThePrisoner’sDilemma 161 12.2 TheImpactofCommunicationandAgreements 162 12.3 WhichEquilibrium? 164 12.4 AsymmetricGames 168 12.5 Exercises 171 13 Tic-Tac-ToeandOtherSequentialGamesofPerfect Information 175 13.1 TheCentipedeGame 175 13.2 Tic-Tac-Toe 178 13.3 TheGameofNimandtheFirst-andSecond-Mover Advantages 181 13.4 CanSequentialGamesbeFun? 184 13.5 TheDiplomacyGame 184 13.6 Exercises 187 A ABriefIntroductiontoR 191 A.1 InstallingR 191 A.2 SimpleArithmetic 192 A.3 Variables 194 A.4 Vectors 195 A.5 Matrices 199 A.6 LogicalObjectsandOperations 201 A.7 CharacterObjects 204 A.8 Plots 205 x Contents A.9 Iterators 208 A.10 SelectionandForking 211 A.11 OtherThingstoKeepinMind 211 Index 213 xi Preface WhyGamblingandGaming? Gamesareauniversalpartofhumanexperienceandarepresentinalmostevery culture;theearliestgamesknown(suchassenetinEgyptortheRoyalGameof Ur in Iraq) date back to at least 2600 B.C. Games are characterized by a set ofrulesregulatingthebehaviorofplayersandbyasetofchallengesfacedby thoseplayers,whichmightinvolveamonetaryornonmonetarywager.Indeed, thehistoryofgamingisinextricablylinkedtothehistoryofgambling,andboth haveplayedanimportantroleinthedevelopmentofmodernsociety. Gameshavealsoplayedaveryimportantroleinthedevelopmentofmodern mathematical methods, and they provide a natural framework to introduce simple concepts that have wide applicability in real-life problems. From the pointofviewofthemathematicaltoolsusedfortheiranalysis,gamescanbe broadlydividedbetweenrandomgamesandstrategicgames.Randomgames pit one or more players against “nature” that is, an unintelligent opponent whose acts cannot be predicted with certainty. Roulette is the quintessential exampleofarandomgame.Ontheotherhand,strategicgamespittwoormore intelligentplayersagainsteachother;thechallengeisforoneplayertooutwit their opponents. Strategic games are often subdivided into simultaneous (e.g., rock–paper–scissors) and sequential (e.g., chess, tic-tac-toe) games, dependingontheorderinwhichtheplayerstaketheiractions.However,these categoriesarenotmutuallyexclusive;mostmoderngamesinvolveaspectsof bothstrategicandrandomgames.Forexample,pokerincorporateselements of random games (cards are dealt at random) with those of a sequential strategicgame(bettingismadeinroundsand“bluffing”canwinyouagame evenifyourcardsareworsethanthoseofyouropponent). Oneofthekeyideasbehindthemathematicalanalysisofgamesistheratio- nality assumption, that is, that players are indeed interested in winning the gameandthattheywilltake“optimal”(i.e.,rational)stepstoachievethis.Under theseassumptions,wecanpostulateatheoryofhowdecisionsaremade,which reliesonthemaximizationofautilityfunction(often,butcertainlynotalways,

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