Cis 304 Enterprise Architecture Mcq Ai Sol 35439

1. Whichsearchagentoperatesbyinterleavingcomputationandaction?a) Offlinesearchb) Onlinesearchc) Breadthfirstsearchd) DepthfirstsearchAnswer:bExplanation:Inonlinesearch,itwillfirsttakeanactionandthenobservestheenvironment.2. Whatiscalledasexplorationproblem?a) Stateandactionsareunknowntotheagentb) Stateandactionsareknowntotheagentc) Onlyactionsareknowntoagentd) NoneofthementionedAnswer:aExplanation:Onlinesearchisanecessaryideaforanexplorationproblemwherethestatesandactionsareunknowntotheagent.3. Whicharenecessaryforanagenttosolveanonlinesearchproblem?a) Actionsb) Stepcostfunctionc) Goaltestd) AllofthementionedAnswer:dExplanation:Anonlinesearchproblemcanbesolvedbyanagentexecutingactions,Sothesefunctionsarenecessary.4. Whendowecallthestatesaresafelyexplorable?a) Agoalstateisunreachablefromanystateb) Agoalstateisdeniedaccessc) Agoalstateisreachablefromeverystated) NoneofthementionedAnswer:cExplanation:None5. Inwhichstatespacesdoestheonlinedfsagentwillwork?a) Irreversiblestatespacesb) Reversiblestatespacesc) searchablestatespacesd) AllofthementionedAnswer:bExplanation:OnlineDFSAgentwillworkonlystatespaceswheretheactionsarereversible.6. Whichofthefollowingalgorithmisonlinesearchalgorithm?a) Breadthfirstsearchalgorithmb) Depthfirstsearchalgorithmc) Hillclimbingsearchalgorithmd) NoneofthementionedAnswer:cExplanation:Hillclimbingsearchalgorithmwillhaveonlycurrentstateinmemory,Soitisaonlinesearchalgorithm.7. Whichsearchalgorithmwilluselimitedamountofmemory?a) RBFSb) SMA*c) Hillclimbingsearchalgorithmd) BothRBFS&SMA*Answer:dExplanation:RBFEandSMA*willsolveanykindofproblemthatA*cantbyusinglimitedamountofmemory.8. Whatismeantbysimulatedannealinginartificialintelligence?a) Returnsanoptimalsolutionwhenthereisapropercoolingscheduleb) Returnsanoptimalsolutionwhenthereisnopropercoolingschedulec) Itwillnotreturnanoptimalsolutionwhenthereisapropercoolingscheduled) NoneofthementionedAnswer:aExplanation:None9. Howthenewstatesaregeneratedingeneticalgorithm?a) Compositionb) Mutationc) Crossoverd) BothMutation&CrossoverAnswer:dExplanation:Newstatesaregeneratedbymutationandbycrossover,whichcombinesapairofstatesfromthepopulation.10. Whichmethodiseffectiveforescapingfromlocalminima?a) Updatingheuristicestimateb) Reducingheuristicestimatec) Eliminatingheuristicestimated) NoneofthementionedAnswer:aExplanation:Updatingheuristicestimatesfromexperienceprovidesaneffectivemethodtoescapefromlocalminima.11. Whichdependsontheperceptsandactionsavailabletotheagent?a) Agentb) Sensorc) Designproblemd) NoneofthementionedAnswer:cExplanation:Thedesignproblemdependsontheperceptsandactionsavailabletotheagent,thegoalsthattheagentsbehaviorshouldsatisfy.12. Whichwerebuiltinsuchawaythathumanshadtosupplytheinputsandinterprettheoutputs?a) Agentsb) AIsystemc) Sensord) ActuatorsAnswer:bExplanation:AIsystemswerebuiltinsuchawaythathumanshadtosupplytheinputsandinterprettheoutputs.13. Whichtechnologyusesminiaturizedaccelerometersandgyroscopes?a) Sensorsb) Actuatorsc) MEMSd) NoneofthementionedAnswer:cExplanation:MicroElectroMechanicalSystemusesminiaturizedaccelerometersandgyroscopesandisisusedtoproduceactuators.14. Whatisusedfortrackinguncertainevents?a) Filteringalgorithmb) Sensorsc) Actuatorsd) NoneofthementionedAnswer:aExplanation:Filteringalgorithmisusedfortrackinguncertaineventsbecauseinthistherealperceptionisinvolved.15. Whatisnotrepresentedbyusingpropositionallogic?a) Objectsb) Relationsc) BothObjects&Relationsd) NoneofthementionedAnswer:cExplanation:Objectsandrelationsarenotrepresentedbyusingpropositionallogicexplicitly.16. Whichfunctionsareusedaspreferencesoverstatehistory?a) Awardb) Rewardc) Explicitd) ImplicitAnswer:bExplanation:Rewardfunctionsmaybethatpreferencesoverstatesarereallycomparedfrompreferencesoverstatehistories.17. Whichkindofagentarchitectureshouldanagentanuse?a) Relaxedb) Logicc) Relationald) AllofthementionedAnswer:dExplanation:Becauseanagentmayexperienceanykindofsituation,Sothatanagentshoulduseallkindsofarchitecture.18. Specifytheagentarchitecturenamethatisusedtocaptureallkindsofactions.a) Complexb) Relationalc) Hybridd) NoneofthementionedAnswer:cExplanation:Acompleteagentmustbeabletodoanythingbyusinghybridarchitecture.19. Whichagentenablesthedeliberationaboutthecomputationalentitiesandactions?a) Hybridb) Reflectivec) Relationald) NoneofthementionedAnswer:bExplanation:Becauseitenablestheagenttocapturewithinitself.20. Whatcanoperateoverthejointstatespace?a) Decisionmakingalgorithmb) Learningalgorithmc) Complexalgorithmd) BothDecisionmaking&LearningalgorithmAnswer:dExplanation:Decisionmakingandlearningalgorithmcanoperateoverthejointstatespaceandtherebyservetoimplementandusedtoimprovethecomputationalactivities.21. Whatistheactionoftaskenvironmentinartificialintelligence?a) Problemb) Solutionc) Agentd) ObservationAnswer:aExplanation:Taskenvironmentswillposeaproblemandrationalagentwillfindthesolutionfortheposedproblem.22. WhatistheexpansionifPEASintaskenvironment?a) Peer,Environment,Actuators,Senseb) Perceiving,Environment,Actuators,Sensorsc) Performance,Environment,Actuators,Sensorsd) NoneofthementionedAnswer:cExplanation:TaskenvironmentwillcontainPEASwhichisusedtoperformtheactionindependently.23. Whatkindofobservingenvironmentsarepresentinartificialintelligence?a) Partialb) Fullyc) Learningd) BothPartial&FullyAnswer:dExplanation:Partialandfullyobservableenvironmentsarepresentinartificialintelligence.24. Whatkindofenvironmentisstrategicinartificialintelligence?a) Deterministicb) Rationalc) Partiald) StochasticAnswer:aExplanation:Iftheenvironmentisdeterministicexceptfortheactionofotheragentiscalleddeterministic.25. Whatkindofenvironmentiscrosswordpuzzle?a) Staticb) Dynamicc) SemiDynamicd) NoneofthementionedAnswer:aExplanation:Astheproblemincrosswordpuzzleareposedatbeginningitself,Soitisstatic.26. Whatkindofbehaviordoesthestochasticenvironmentposses?a) Localb) Deterministicc) Rationald) PrimaryAnswer:aExplanation:Stochasticbehaviorarerationalbecauseitavoidsthepitfallofpredictability.27. 7.Whichisusedtoselecttheparticularenvironmenttoruntheagent?a) Environmentcreatorb) EnvironmentGeneratorc) BothEnvironmentcreator&Generatord) NoneofthementionedAnswer:bExplanation:None.28. Whichenvironmentiscalledassemidynamic?a) Environmentdoesnotchangewiththepassageoftimeb) Agentperformancechangesc) Environmentwillbechangedd) Environmentdoesnotchangewiththepassageoftime,butAgentperformancechangesAnswer:dExplanation:Iftheenvironmentdoesnotchangewiththepassageoftime,buttheagentperformancechangesbytime.29. Wheredoestheperformancemeasureisincluded?a) Rationalagentb) Taskenvironmentc) Actuatorsd) SensorAnswer:bExplanation:InPEAS,WherePstandsforperformancemeasurewhichisalwaysincludedintaskenvironment.30. Whichisusedtoprovidethefeedbacktothelearningelement?a) Criticb) Actuatorsc) Sensord) NoneofthementionedAnswer:aExplanation:Thelearningelementgetsthefeedbackfromthecriticwhichispresentedintheenvironmentonhowtheagentisdoing.ThissetofArtificialIntelligenceMultipleChoiceQuestions&Answers(MCQs)focusesonProblemSolving.31. Themaintaskofaproblemsolvingagentisa) Solvethegivenproblemandreachtogoalb) Tofindoutwhichsequenceofactionwillgetittothegoalstatec) Allofthementionedd) NoneofthementionedAnswer:cExplanation:Theproblemsolvingagentsareoneofthegoalbasedagents.32. Whatisstatespace?a) Thewholeproblemb) YourDefinitiontoaproblemc) Problemyoudesignd) RepresentingyourproblemwithvariableandparameterAnswer:dExplanation:Becausestatespaceismostlyconcernedwithaproblem,whenyoutrytosolveaproblem,wehavetodesignamathematicalstructuretotheproblem,whichcanonlybethroughvariablesandparameters.eg.Youhavegivena4gallonjugandanother3gallonjug.Neitherhasmeasuringmarkeronit.Youhavetofillthejugswithwater.Howcanyougetexactly2gallonsofwaterinto4gallons.Herethestatespacecandefinedassetoforderedpairsintegers(x,y),suchthatx=0,1,2,3or4andy=0,1,2or3;Xrepresentsthenumberofgallonsin4gallonjugandyrepresentsquantityofwaterinthe3gallonjug.33. Theproblemsolvingagentwithseveralimmediateoptionsofunknownvaluecandecidewhattodobyjustexaminingdifferentpossiblesequencesofactionsthatleadtostatesofknownvalue,andthenchoosingthebestsequence.ThisprocessoflookingforsuchasequenceiscalledSearch.StateTrueorFalsea) Trueb) FalseAnswer:aExplanation:Refertothedefinitionofproblemsolvingagent.34. Asearchalgorithmtakes_________asaninputandreturns________asanoutput.a) Input,outputb) Problem,solutionc) Solution,problemd) Parameters,sequenceofactionsAnswer:bExplanation:Asearchalgorithmtakesinputasaproblemandreturnsasolutiontotheproblemasanoutput.35. Aprobleminasearchspaceisdefinedbyoneofthesestate.a) Initialstateb) Laststatec) Intermediatestated) AlloftheaboveAnswer:aExplanation:Aproblemhasfourcomponentsinitialstate,goaltest,setofactions,pathcost.36. TheSetofactionsforaprobleminastatespaceisformulatedbya___________a) Intermediatestatesb) Initialstatec) Successorfunction,whichtakescurrentactionandreturnsnextimmediatestated) NoneofthementionedAnswer:cExplanation:Themostcommonformulationforactionsusesasuccessorfunction.Givenaparticularstatex,SUCCESSORFN(x)returnsasetof(action,successor)orderedpairs,whereeachactionisoneofthelegalactionsinstatexandeachsuccessorisastatethatcanbereachedfromxbyapplyingtheaction.37. Asolutiontoaproblemisapathfromtheinitialstatetoagoalstate.Solutionqualityismeasuredbythepathcostfunction,andanoptimalsolutionhasthehighestpathcostamongallsolutions.Statewhethertrueorfalse.a) Trueb) FalseAnswer:aExplanation:Asolutiontoaproblemisapathfromtheinitialstatetoagoalstate.Solutionqualityismeasuredbythepathcostfunction,andanoptimalsolutionhasthelowestpathcostamongallsolutions.38. Theprocessofremovingdetailfromagivenstaterepresentationiscalled______a) Extractionb) Abstractionc) InformationRetrievald) MiningofdataAnswer:bExplanation:Theprocessofremovingdetailfromarepresentationiscalledabstraction.39. Aproblemsolvingapproachworkswellfora) 8Puzzleproblemb) 8queenproblemc) Findingaoptimalpathfromagivensourcetoadestinationd) MarsHover(RobotNavigation)Answer:dExplanation:Problemsolvingapproachworkswellfortoyproblemsandrealworldproblems.40. The_______isatouringprobleminwhicheachcitymustbevisitedexactlyonce.Theaimistofindtheshortesttour.a) Findingshortestpathbetweenasourceandadestinationb) TravellingSalesmanproblemc) Mapcoloringproblemd) DepthfirstsearchtraversalonagivenmaprepresentedasagraphAnswer:bExplanation:RefertheTSPproblem.41. WebCrawlerisa/ana) Intelligentgoalbasedagentb) Problemsolvingagentc)