RepastTheRepast3familyoftoolsistheprecursortoRepastSimphonyRepastforJavaRepastfortheMicrosoft.NETframework,andRepastforPythonScriptingRepastSimphony(RepastS)isinpureJavaExtendstheRepastportfoliobyofferinganewapproachtosimulationdevelopmentandexecutionAsetofadvancedcomputingtechnologiesforapplicationssuchassocialsimulationJavaAPIsaswellasGUIsforrunninganddevelopingmodelsandEclipsepluginRepastTheRepast3familyoft1Repasthomepage:/

SeverallinksontherightofthepagePapersDocumentationOn-lineintroductorytutorial:showsyouhowtousetheinterfacetocreatemodelsComeswiththedownload,installedas…\RepastSimphony-1.2.0\docs\GettingStarted.pdfTheHTMLversionisinthefolder…/RepastSimphony-1.2.0/docs/tutorial/SIM/Repasthomepage:http://repas2RepastSimphonyDevelopmentEnvironment:HowtosetupanEclipsedevelopmentenvironmentforRepast.Thiscomeswiththedownload,andisinstalledas

…\RepastSimphony-1.2.0\eclipse\andthefile…\RepastSimphony-1.2.0\eclipse\readme\readme.html

RepastSimphonyReference:CodingtheAPIsThiscomeswiththedownload,andisinstalledas…\RepastSimphony-1.2.0\docs\Reference.pdfTheHTMLversionisinthefolder…\RepastSimphony-1.2.0\docs\reference\SIMRepastSimphonyDevelopmentEn3FeaturesofRepastSimphonyFluidmodelcomponentdevelopmentusinganymixtureofJava,Groovy,andaflowchartinterfaceGroovy:adynamic/scriptinglanguagefortheJavaPlatformasanalternativetoJavaFeaturessimilartothoseofPython,Ruby,PerlLibrariesforgeneticalgorithmsneuralnetworksregressionEstimateparameterstogiveabestfitforthedata—e.g.,leastsquaresrandomnumbergenerationspecializedmathematicsFeaturesofRepastSimphonyFlu4AnautomatedMonteCarlosimulationframeworkReliesonrepeatedrandomsaplingUsedwhenit’sinfeasible/impossibletocomputeanexactresultwithadeterministicalgorithmAnautomatedMonteCarlosimul5Automatedconnectionstooptionalexternaltools,includingpluginstotheRstatisticsenvironment(alternativetocommercialSPSS)*ORAriskassessmenttoolGivensocial,knowledgeandtasknetworkinfo,findthosepeople,skillsorknowledgeandtaskscriticalforperformanceorinfosecurityPajeknetworkanalysisprogramJoSQLforperformingSQLqueriesoncollectionsofJavaobjectstheVisAD(VisualizationforAlgorithmDevelopment)scientificvisualizationpackage,AJavacomponentlibraryforinteractiveandcollaborativevisualizationandanalysisofnumericaldatatheWekadataminingplatform,MachinelearningalgorithmsfordataminingtasksthatcanbeapplieddirectlytoadatasetorcalledfromJavacodemanypopularspreadsheetsMATLABAutomatedconnectionstooptio6FullintegrationwiththeJUNG(JavaUniversalNetwork/GraphFramework)networkmodelinglibraryAnextendiblelanguageforthemodeling,analysis,andvisualizationofdatathatcanberepresentedasagraphornetworkMicrosoftExcelspreadsheetsUCINETDLfileimportingAcomprehensivepackagefortheanalysisofsocialnetworkdata($40forstudents)Geographicalspacesincluding2Dand3DGISsupportFullintegrationwith7InfofromtheRepast3Website/repast_3/index.htmlPapersS.Deschamp,Univ.ofWellingtonRepasttosimulateaknowledgenetworkinvolvingheterogeneousagents—e.g.,smallandmediumenterprises,universities,publicresearchinstitutesHowco-operativeresearchstrategiescanbeimplementedamongagentswithdifferentobjectivesandrewardsHowthisaffectsthedynamicsofinnovationHowagentsevolveandconvergeTheimpactatthesystemlevelInfofromtheRepast3Website8OwenDensmoreofSunMicrosystemsRepasttomodelselforganizingnetworkswithinthecontextoftheLocalKnowledgeNetworkingprojectSeekstoestablishcomputingsessionswithoutcentralcontrol,thusmoreadaptiveduringfailureandaremorerobustPropagaterequestsviaalternativetechniques(e.g.,ringsofneighbors)OwenDensmoreofSunMicrosyst9TutorialsHowtoDocumentationThesemostlyrelatetousingtheAPIsandareallbriefThirdPartyTutorialsOfvariablequalitySeveralofthelinksaredeadSeeespeciallythelinktoTesfatsion’stutorial(butRepastJ)Tutorials10ExamplesJavaWebStart(.jnlp)filesClickthelinkClickOKintheresultingwindow,askingwhethertoopenitwiththeJavaWebStartLauncherGetacontrolbarandawindowWindowwithtabsforParameters:setthevaluesforthemodelparameters(seeexamples,below)CustomActions:controlsforthesimulationRepastActions:built-inRepastfunctionality—e.g.,makingmovies,editchartsExamples11ControlbarThecontrolicons,lefttoright:LoadModelMultipleRunsStartStartStepInitializeStopPauseSetupModelViewParametersExitFirststepacoupleoftimes,thenstart,andpausetoinspectagivenstate,thensteporstartagainControlbarThecontrolicons,12BasicGridExamples

HeatbugsSeetheSwarmdescription:/examples-heatbugs.htmlParametertabsselectedSimulationafterawhileBasicGridExamplesParameter13BasicGridExamples(cont.)HeatbugsonHexagons(Samereferenceasprevious)Hypercycles(Seethereference)GameofLife(SeeWikipedia,“Conway’sGameofLife”)MousetrapSeetheSwarmdescription:

/examples-mousetrap.htmlSugarScape(Thereferenceisgiven,butalsoGoogleit.)NetworkExamplesJiggleToy(Explanationgiven)FriendshipNetwork(Linktoreference)GeographicInformationSystems(GIS)ExamplesGISAgents(Blankscreen)SystemDynamicsExamplesRabbitPopulation(Briefexplanationandlinktoreference)BasicGridExamples(cont.)14InstallingRepastSimphonyGoto/

Underheading“TheLatestRepastSimphonyRelease”atthetopofthepage,clickon“WindowsInstaller”Intheshortwizard-basedinstallationprocess,acceptallthedefaultsInstallingRepastSimphonyGot15RunningaRepastSimphonyExampleAllprogramsRepastSimphonyRepastSimphonyIDEAcceptthisdefault

InthePackageExplorerpanel(leftsideofwindow),expandtherepast.simphony.demosfolderRunningaRepastSimphonyExam16TheModel:simplevariationofpredator-preybehaviorusing3agenttypes:wolves,sheep,andgrassBoththewolvesandsheepmoverandomlyonagridMovementhasacost:lostenergy.WolvesandsheepneedtoeatfoodtoreplenishtheirenergyTheydieoncetheirenergylevelreaches0WolvespreyonsheepMayeatthemifthe2arelocatedinthesamespatialpositionSheepmayeatgrassiflocatedonapatchwithlivinggrassOnceeaten,grassneedstore-growbeforebeingeatenagainRe-growrate:countingdownafterthegrasshasbeeneatenReproductionismodeledbyarandomprocessCreatesachildfromtheparentDividestheenergyoftheparentagentinhalfAssignstheenergyequallytotheparentandchildTheModel:simplevariationof17RunRunConfigurationInthepanelonleft,clickonPredatorPreyDon’tmodifythedefaultsClickRunRunRunConfigurationDon’t18Seethe4tabsbelowthepanelontheleftTheScenarioTreeiscurrentlyselectedandisdisplayedinthepanelSeethe4tabsbelowthepanel19ClicktheRunOptionstabMovesabovetheScenarioTreetabTheRunOptionspanelnowoccupiestheleftsideofthewindowTheScheduleTickDelaysliderinitiallyindicates0msec.Moveitto,say,6msec.NowclicktheParameterstabParametersPaneltoappearsFornow,justacceptinitialvaluesCanchangesuchparametersastheinitialnumberofsheep,whatasheepgainsfromagivenamountoffood,andthereproductionrateofthewolves

ClicktheRunOptionstabCan20BackintheScenarioTree,clickADisplayTheGeneralinterfaceisinitiallyselectedfromamongthe4optionsavailableintheleftpanelNoneedtochangeanyofthesevaluesTheAgentStyleandGridStyleinterfacesletyouspecifytheorderinwhichtheagenticonsareoverlaidinthedisplay(andsomemoreadvancedthings)modifythesizeofthegridunitsspecifywhethergridlinesaretobedisplayedNoneedtomodifyanyofthis.TheSchedule…interfacelestyoumodifyhowthedisplayisupdatedrelativetothesimulation.Again,justacceptdefaultsBackintheScenarioTree,cli21NowclickOKInthemodelwindow,clicktheStepRuniconatthetop(doublearrowpointingright)Thescenarioisdisplayedinthelargepanel.ClicktheStepRuniconseveraltimestostepthroughthesimulation.NowstopthesimulationbyclickingtheStopSimulationicon,asquarewithinacircle,justrightoftheStepRuniconNowclickOK22IntheScenarioTreeagain,doubleclickAChartInitially,theChartDataMappingsinterfaceisshown.GettheVisualSettinginterfacebyclickingtheoptionintheleftpanelNoneedtochangeanysettingineitherinterfaceClickOK.IntheSce