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5. Press the "open" button. 6. Wait for the model to finish loading 7. (optional) Make the NetLogo window bigger so you can see everything. 8. Press the "setup" button. In the view, you will see pink and blue lines with numbers: These lines represent mingling groups at a party. Men are represented in blue, women in pink. The numbers are the total number of people in each group. Do all the groups have about the same number of people? Do all the groups have about the same number of each sex? Let's say you are having a party and invited 150 people. You are wondering how people will gather together. Suppose 10 groups form at the party. How do you think they will group? Instead of asking 150 of your closest friends to gather and randomly group, let's have the computer simulate this situation for us. What to do: 1. Press the "go" button. (Pressing "go" again will stop the model manually.) 2. Observe the movement of people until the model stops. 3. Watch the plots to see what's happening in another way. Now how many people are in each group? Originally, you may have thought 150 people splitting into 10 groups, would result in about 15 people in each group. From the model, we see that people did not divide up evenly into the 10 groups −− instead, some groups became very small, whereas other groups became very large. Also, the party changed over time from all mixed groups of men and women to all single−sex groups. What could explain this? NetLogo 3.0.2 User Manual 22 Sample Model: Party
There are lots of possible answers to this question about what happens at real parties. The designer of this simulation thought that groups at parties don't just form randomly. The groups are determined by how the individuals at the party behave. The designer chose to focus on a particular variable, called "tolerance": Tolerance is defined here as the percentage of people of the opposite sex an individual is "comfortable" with. If the individual is in a group that has a higher percentage of people of the opposite sex than their tolerance allows, then they become "uncomfortable" and leave the group to find another group. For example, if the tolerance level is set at 25%, then males are only "comfortable" in groups that are less than 25% female, and females are only "comfortable" in groups that are less than 25% male. As individuals become "uncomfortable" and leave groups, they move into new groups, which may cause some people in that group to become "uncomfortable" in turn. This chain reaction continues until everyone at the party is "comfortable" in their group. Note that in the model, "tolerance" is not fixed. You, the user, can use the tolerance "slider" to try different tolerance percentages and see what the outcome is when you start the model over again. How to start over: 1. If the "go" button is pressed (black), then the model is still running. Press the button again to stop it. 2. Adjust the "tolerance" slider to a new value by dragging its red handle. 3. Press the "setup" button to reset the model. 4. Press the "go" button to start the model running again. Challenge As the host of the party, you would like to see both men and women mingling within the groups. Adjust the tolerance slider on the side of the view to get all groups to be mixed as an end result. To make sure all groups of 10 have both sexes, at what level should we set the tolerance? Test your predictions on the model. NetLogo 3.0.2 User Manual Can you see any other factors or variables that might affect the male to female ratio within each group? Make predictions and test your ideas within this model. Feel free to manipulate more than one variable at a time. As you are testing your hypotheses, you will notice that patterns are emerging from the data. For example, if you keep the number of people at the party constant but gradually increase the Sample Model: Party 23
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Page 40 and 41: tolerance level, more mixed groups
Page 42 and 43: • Press the "setup" button. What
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Page 46 and 47: Let's experiment with the effect of
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Page 50 and 51: Sample Models The Sample Models sec
Page 52 and 53: In Traffic Basic: • Press the "se
Page 54 and 55: • Choose "Turtles" from the popup
Page 56 and 57: To get a color that doesn't have it
Page 58 and 59: other way is to type inspect turtle
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Page 64 and 65: Then add its procedure to the Proce
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Page 68 and 69: that. Write: to setup−patches ask
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Page 74 and 75: What's Next? So now you have a nice
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We recommend reading the Informatio
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NetLogo 3.0.2 User Manual 74 Interf
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The total number of patches is dete
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If a variable is a global variable,
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NetLogo 3.0.2 User Manual You can a
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Usually, the observer uses ask to a
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Code Example: Ask Agentset Example
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Example #3: The user has two foreve
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The Primitives Dictionary has a sec
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foreach [1 2 3] [ ask turtles [ fd
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When entering a number, the letter
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Plotting NetLogo's plotting feature
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with the set−plot−pen−interva
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Output This section is about output
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The user−choose−directory, user
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NetLogo 3.0.2 User Manual 102 Progr
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Shapes library And here are the sha
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Other buttons The "Rotate Left" and
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Historical Note Old versions of Net
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Go commands: These commands will be
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The −−experiment argument is us
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encoding than us−ascii, such as U
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Computer HubNet Activities The foll
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particular, networks that use the I
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NetLogo 3.0.2 User Manual 120 HubNe
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If you are using Computer HubNet, y
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When using Calculator HubNet the hu
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CC−WINDOW 323 339 638 459 Command
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NetLogo 3.0.2 User Manual 128 HubNe
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Just use the URL where you have sto
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as getIntegerValue(). • Throw org
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NetLogo 3.0.2 User Manual The exten
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} } } catch( java.io.IOException ex
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The two forms of runExperiment that
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succesfully use them, or run into p
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output−port−coast output−port
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set−output−port−power set−o
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play−drum play−drum drum veloci
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NetLogo 3.0.2 User Manual 17. Drawb
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• Can I use the mouse to "paint"
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Is the source code to NetLogo avail
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Will NetLogo and NetLogo 3D remain
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Can a model saved as an applet use
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• Use the freeze switch in the vi
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un across multiple computers, but y
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The NetLogo world is a torus, that
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I'm getting numbers like 0.10000000
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[ ask ? [ ... ] ] NetLogo 3.0.2 Use
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Color primitives color extract−hs
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Constants Mathematical Constants e
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If you are not sure how NetLogo wil
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eep beep Emits a beep. Note that th
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The error−message reporter can be
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color This is a built−in turtle v
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date−and−time date−and−time
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Unlike "distance−nowrap", turtles
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empty? empty? list empty? string Re
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values" (.csv) format. CSV files ca
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file−close−all file−close−a
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file−read−characters file−rea
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first first list first string On a
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Most often, globals is used to defi
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histogram−from turtles [color] ;;
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hubnet−message−source hubnet−
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Future versions of HubNet will supp
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import−world import−world filen
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is−string? is−turtle? is−turt
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left lt left number The turtle turn
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M map map [reporter] list (map [rep
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min−one−of min−one−of agent
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movie−grab−view movie−grab−
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neighbors neighbors4 Reports an age
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Note that nsum/nsum4 are equivalent
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See also patch−at. patch−ahead
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patches−own patches−own [var1 v
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plot−name plot−name Reports the
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pxcor pycor pxcor pycor These are b
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;; mean of 3.4 random−int−or−
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=> 8 show length read−from−stri
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emove−item remove−item index li
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ide ride turtle Set the perspective
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screen−edge−x screen−edge−y
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set−current−directory string Se
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• 2 (point mode): the plot pen dr
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=> [5 2 4 1 3] show shuffle [1 2 3
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startup startup User−defined proc
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that high in practice may vary from
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=> 40 If the name of a breed is sub
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The calling agent is not printed be
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show user−input "What is your nam
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while [reporter] [ commands ] If re
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show word "tur" "tle" => "turtle" w
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NetLogo 3.0.2 User Manual 256 Primi
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