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Files can be readily archived Cons Awkward to have multiple data sets output to the same file Awkward to draw combine from multiple files Denormalization: Requires either Duplication of scenario-wide information (e.g.
#Anylogic professional manual#
Simple holds values only - no timestamps Timed holds values and timestamps Phase holds pairs of values but no timestamps Histogram can define bins for data set data set will record # falling in each binĪd-Hoc Exports from variables Manual copies from visible datasets Capturing images of graphs Output to console Export to files Dataset archiving Export to databasesĥ7 Output to Console Pros Cons Easy to program Readily visibleĪaceln(String str) outputs string to console (String str) (Black) (String str) (Red) Readily visible Copy & Paste to another document Cons May be mixed with other output (easy to miss other output) Limited length Depends on memory to copy Less structuredĪd-Hoc Exports from variables Manual copies from visible datasets Capturing images of graphs Writing to console Export to files Dataset archiving Export to databasesĥ9 Data Output to File Pros Cons Simple to perform
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#Anylogic professional code#
Change Time Window & Display Size to 200ģ7 Techniques for Collecting & Outputting Dataģ8 Datasets Datasets store recent values of some quantities from the model Datasets can be exported easily using custom code This can simply call the dataset’s toString methodĤ0 Run the Experiment & Click on “Infectious DS”Ĥ1 Click on “InfectiousDS” to See Data in DatasetĪd-Hoc Exports from variables Manual copies from visible datasets Capturing images of graphs Export to files Writing to console Dataset archiving Export to databases Stop the Simulation, and Click on the Plot.
#Anylogic professional full#
every time unit) Beyond output, be sure to save information on context of run Model version (Use unique id that increment whenever change model) Parameter assumptions Intention Think carefully about whether want to save away intermediate dataħ Hands on Model Use Ahead Load Sample Model: SIR Agent Based Calibration (Via “Sample Models” under “Help” Menu)Ĩ Techniques for Collecting & Outputting DataĪd-Hoc Exports from variables Pre-Prepared methods Statistics Charts Manual copies from visible datasets Export to files Writing to console Export to databases Dataset archiving Capturing images of graphsġ1 Save the Resulting Model (To Avoid Overwriting the Other Model)ġ2 Run the Experiment (To Verify Functionality)ġ7 Press Red “Stop” Button to Terminate Executionġ8 Techniques for Collecting & Outputting Dataġ9 Statistics & Charts A population of agents can have associated statistics that calculate values Examples of things that can be computed with using AnyLogic’s statistics Count of agents in the population for which certain condition (“predicate”) evaluates to true Function of the values of some expression over the population Maximum value Minimum value Average value Sum (total) over population Statistics can be defined as properties of the populationĢ0 Select “People”, and Choose “Statistics”Ģ1 Also, Expand “Statechart” Under “Person”Ģ3 Fill in the “Condition” (Predicate) on PersonĢ5 Full Expression Expression: (Person.Susceptible)Ģ6 Example Statistics The population in which the statisticsĪre to be calculated What statistics we wish to calculateĢ8 Run the Model, and Click on “people” The Statistic should be VisibleĢ9 Drag a “Time Plot” from the Palette to the “Main” Canvasģ4 Now Run the Model Notice that this only goes back to time 100ģ5 Stop the Simulation, and Click on the Plot Have a variable that is zeroed out at the beginning of each time interval of interest Is accumulated across that interval of interest Is stored away at the end of that interval interest Option2 Have a variable that gives the cumulative number of events that have occurred Subtract off the value of that variable from the beginning of the interval and store away the differenceĪd-Hoc Exports from variables Manual copies from visible datasets Export to files Writing to console Export to databases Dataset archiving Capturing images of graphsĪ convenient mechanism is to periodically output data using events (e.g. stocks) States of agents Summaries of model state We informally term this a “trajectory file” Trajectory recording is supported in higher AnyLogic versions All versions of AnyLogic allow for Definition of DataSets that record recent values of parameters Statistics summarizing model state Reporting on values of data sets as a graph or tableĪggregated (“Stocks”) or disaggregated Changes in model state (flow statistics) History Model version (model structure) Assumptions (parameter values) InterventionsĤ Common Ways to Accumulate Flow Statistics Nathaniel Osgood Agent-Based Modeling Bootcamp for Health Researchers August 19-24, 2013Ģ Recording of Results A frequent modeler need is to record some components of model state over time State variables (e.g. 1 Collecting, Outputting & Inputting Data in AnyLogic