Two-tiered Tiebout.nlogo

globals [
  available-colors ;; used for coloring, purely aesthetic
  stable? ;; used for reporting: has the model reached a steady state?
  percent-happy ;; reporting variable
  min-state-ideology
  max-state-ideology
  mean-state-ideology
  sd-state-ideology
  min-town-ideology
  max-town-ideology
  mean-town-ideology
  sd-town-ideology
]

breed [towns town]
breed [households household]
breed [cbds cbd]
breed [states state]

towns-own [
  my-color ;; aesthetic
  town-policies ;; binary string representing issues
  location  ;; distance from cbd, if cbd? = true
  referendum ;; vote on a given issue
  my-state ;; which state a town belongs to
  desirability ;; area
]

households-own [
  my-issues ;; binary string representing issue positions
  happy? ;; is the household in a community with acceptable polities?
]
states-own [
  state-policies ;; same as town-policies
  referendum ;; vote on a given issue
  quadrant
]

;;;;;;;;;;;;;;;;;;;;;
;; SETUP FUNCTIONS ;;
;;;;;;;;;;;;;;;;;;;;;

to setup
  clear-all
  reset-ticks

  ; set various globals
  set stable? false
  set-default-shape households "x"
  set-default-shape towns "circle 2"
  set-default-shape cbds "box"
  set-default-shape states "flag"


  ; central business district initializes first to have who id 0
  if cbd? [
    create-cbds 1 [
      setxy (max-pxcor / 2) (max-pycor / 2)
      set color gray]]

  ; error checking
  if num-issues mod 2 = 1 [ error "num-issues must be even"]

  ; generate the agents
  if scenario = "default" [ generate-towns ]
  if scenario = "16" [ generate-16-towns ]
  if scenario = "64" [ generate-64-towns ]
  setup-households
  if states? [
    spawn-states
  ]

  if color-boundaries? [ color-towns ]
  update-desirability

  ; execute "tick 0"
  ask households [evaluate]
  update-stats
end

to spawn-states
  let x ceiling (max-pxcor * .75)
  let y floor (max-pycor * .25)
  ask patch x x [ sprout-states 1 [ set quadrant 1 ] ]
  ask patch x y [ sprout-states 1 [ set quadrant 2 ] ]
  ask patch y x [ sprout-states 1 [ set quadrant 3 ] ]
  ask patch y y [ sprout-states 1 [ set quadrant 4 ] ]
  ask states [ set color black
    set state-policies []
    repeat num-issues / 2 [set state-policies fput (random 2) state-policies ]
  ]
  ask towns [
    set my-state min-one-of states [ distance myself ]
  ]
end

to color-towns
  ;this code is basically unreadable
  ;what it does is this: if states?, color patches quadrant by quadrant. patches only consider the location of towns in the same quadrant as themselves
  ;if not states?, color as a regular Voronoi tesselation
  ifelse states?[
    ask patches with [ pxcor >= (max-pxcor / 2) and pycor >= (max-pycor / 2) ] [ set pcolor [ color ] of min-one-of towns with [ my-state = one-of states with [ quadrant = 1 ]] [ distance myself ]]
    ask patches with [ pxcor >= (max-pxcor / 2) and pycor < (max-pycor / 2) ] [ set pcolor [ color ] of min-one-of towns with [ my-state = one-of states with [ quadrant = 2 ]] [ distance myself ]]
    ask patches with [ pxcor < (max-pxcor / 2) and pycor >= (max-pycor / 2) ] [ set pcolor [ color ] of min-one-of towns with [ my-state = one-of states with [ quadrant = 3 ]] [ distance myself ]]
    ask patches with [ pxcor < (max-pxcor / 2) and pycor < (max-pycor / 2) ] [ set pcolor [ color ] of min-one-of towns with [ my-state = one-of states with [ quadrant = 4 ]] [ distance myself ]]
  ]
  [ ask patches [
    set pcolor [ color ] of min-one-of towns [ distance myself ]]]
end


to generate-towns
  ;; Generate towns as Voronoi tesellations. Much of this code is adapted from Wilensky (2006).
  ask towns [
    set color [ 255 255 255 0 ]
    set location 0 ]
  set available-colors shuffle filter [ ?1 -> (?1 mod 10 >= 2) and (?1 mod 10 <= 8) ] n-values 140 [ ?1 -> ?1 ]
  ;  if num-households > count patches
  ;    [ user-message (word "This area only has room for " count patches " towns.")
  ;      stop ]

  ;; create towns
  ask n-of num-communities patches [
    sprout-towns 1 [
      if line? [setxy 0 who - 1]
      set size 1
      set color first available-colors
      set available-colors butfirst available-colors
      set my-color color
      if cbd?
        [ set location ((distance cbd 0) / 44) ]
      set-town-policies
    ]
  ]
  ask patches [ set pcolor white ]

end

to generate-64-towns
set num-communities 64
  ask towns [
    set color [ 255 255 255 0 ]
    set location 0 ]
  set available-colors shuffle filter [ ?1 -> (?1 mod 10 >= 2) and (?1 mod 10 <= 8) ] n-values 140 [ ?1 -> ?1 ]

  let one (max-pxcor * (1 / 16))
  let two (max-pxcor * (3 / 16))
  let three (max-pxcor * (5 / 16))
  let four (max-pxcor * (7 / 16))
  let five (max-pxcor * (9 / 16))
  let six (max-pxcor * (11 / 16))
  let seven (max-pxcor * (13 / 16))
  let eight (max-pxcor * (15 / 16))

;  let one 7.5
;  let two 22.5
;  let three 37.5
;  let four 52.5

  let x 0
  repeat 64 [
    ask n-of 1 patches [
      sprout-towns 1 [
        ; ugly location code
        if floor (x / 8) = 0 [ set xcor one ]
        if floor (x / 8) = 1 [ set xcor two ]
        if floor (x / 8) = 2 [ set xcor three ]
        if floor (x / 8) = 3 [ set xcor four ]
        if floor (x / 8) = 4 [ set xcor five ]
        if floor (x / 8) = 5 [ set xcor six ]
        if floor (x / 8) = 6 [ set xcor seven ]
        if floor (x / 8) = 7 [ set xcor eight ]


        if x mod 8 = 0 [ set ycor one ]
        if x mod 8 = 1 [ set ycor two ]
        if x mod 8 = 2 [ set ycor three ]
        if x mod 8 = 3 [ set ycor four ]
        if x mod 8 = 4 [ set ycor five ]
        if x mod 8 = 5 [ set ycor six ]
        if x mod 8 = 6 [ set ycor seven ]
        if x mod 8 = 7 [ set ycor eight ]

        set size 1
        set color first available-colors
        set available-colors butfirst available-colors
        set my-color color
        if cbd?
        [ set location ((distance cbd 0) / 35) ] ;TODO: normalize distance
        set-town-policies
      ]
    ]
    set x x + 1
  ]
  ask patches [ set pcolor white ]
end
to generate-16-towns
set num-communities 16
  ask towns [
    set color [ 255 255 255 0 ]
    set location 0 ]
  set available-colors shuffle filter [ ?1 -> (?1 mod 10 >= 2) and (?1 mod 10 <= 8) ] n-values 140 [ ?1 -> ?1 ]

  let one ceiling (max-pxcor * .125)
  let two floor (max-pxcor * .375)
  let three ceiling (max-pxcor * .625)
  let four floor (max-pxcor * .875)

;  let one 7.5
;  let two 22.5
;  let three 37.5
;  let four 52.5

  let x 0
  repeat 16 [
    ask n-of 1 patches [
      sprout-towns 1 [
        ; ugly location code
        if floor (x / 4) = 0 [ set xcor one ]
        if floor (x / 4) = 1 [ set xcor two ]
        if floor (x / 4) = 2 [ set xcor three ]
        if floor (x / 4) = 3 [ set xcor four ]

        if x mod 4 = 0 [ set ycor one ]
        if x mod 4 = 1 [ set ycor two ]
        if x mod 4 = 2 [ set ycor three ]
        if x mod 4 = 3 [ set ycor four ]

        set size 1
        set color first available-colors
        set available-colors butfirst available-colors
        set my-color color
        if cbd?
        [ set location ((distance cbd 0) / 44.55) ] ;TODO: normalize distance
        set-town-policies
      ]
    ]
    set x x + 1
  ]
  ask patches [ set pcolor white ]
end

to set-town-policies
  ;if cbd? is true, town policies are biased by distance from cbd. Directly on cbd = [ 1 1 1 ... 1 1]
  let x 0
  ifelse states?
  [set x num-issues / 2 ]
  [set x num-issues ]

  ifelse cbd?
  [
    set town-policies []
    repeat x [
      ifelse random-float 1 > location
      [ set town-policies fput 1 town-policies ]
      [ set town-policies fput 0 town-policies ]
    ]
  ]
  [
    set town-policies []
    repeat x [set town-policies fput (random 2) town-policies ]
  ]
end

to setup-households
  create-households num-households
  ask households [
    set color gray
    set happy? false]

  ;; create random binary list of issue positions for each household, e.g. [0 1 1 0 1],
  ;; and position them randomly
  ask households [
    setxy random-pxcor random-pycor
    set my-issues []
    repeat num-issues [set my-issues fput (random 2) my-issues ]
  ]
end

;;;;;;;;;;;;;;;;;;;;;;;
;; RUNTIME FUNCTIONS ;;
;;;;;;;;;;;;;;;;;;;;;;;
to go
  tick

  if ticks >= max-length [
    stop ]

  if all? households [happy?] [
    set stable? true
    stop ]

  move-unhappy
  if ticks mod town-election-cycle = 0 [ hold-referenda-town ]
  if states? and ticks mod state-election-cycle = 0 [ hold-referenda-state ]
  ask households [ evaluate ]
  update-stats
end

to step
  go
end

to evaluate
  let my-pcolor [pcolor] of self
  let similarity 0
  let local-policies []

  ifelse states?
    ;;true
    [ ask min-one-of states [ distance myself ] [
      foreach state-policies [ ?1 ->
        set local-policies lput ?1 local-policies ]]
;    ask min-one-of towns [ distance myself] [
;      foreach town-policies
;      [ set local-policies lput ? local-policies]] ]
    ask min-one-of towns [ distance myself] [
      foreach reverse town-policies
      [ ?1 -> set local-policies fput ?1 local-policies ]] ]
    ;;false
    [ ask min-one-of towns [distance myself] [
      foreach town-policies
      [ ?1 -> set local-policies lput ?1 local-policies ]]]



  ;   show my-issues
  ;   show local-policies
  (foreach my-issues local-policies  [ [?1 ?2] ->
    if ?1 = ?2 [
      set similarity (similarity + 1)] ])

  ;  show similarity
  ; < should be the correct comparison, you want, e.g. 6/12 to evaluate to true
  ifelse similarity < (num-issues * (intensity / 100))
    [ set happy? false ]
    [ set happy? true ]

  ; handle equality case randomly to avoid bias on even values of intensity
  if similarity = (num-issues * (intensity / 100)) [
    ifelse random 2 = 1
    [ set happy? true ]
    [ set happy? false ]]

end

to hold-referenda-state
  ask states [ set referendum [] ]
  ask households [
    let vote my-issues
    repeat num-issues / 2 [ set vote butlast vote ]
;    show vote ; debug
    ask min-one-of states [distance myself]
      [ set referendum lput vote referendum ]]

  ask states [
    ;    show state-policies
    let issue 0
    let new-policies []
    repeat num-issues / 2 [
      let votes []
      foreach referendum
        [ ?1 -> set votes fput item issue ?1 votes ]
      let winner median votes
      ifelse winner = 1 or winner = 0
      [ set new-policies lput winner new-policies ]
      [ set new-policies lput item issue state-policies new-policies ]

      set issue issue + 1 ]
    ;   show new-policies
    set state-policies new-policies ]
end


to hold-referenda-town
  ;show ticks

  ;; x is a variable representing either the set of all issues or half that;
  ;; used to avoid excessive conditionals around the state? variable
  let x 0
  ifelse states?
  [ set x num-issues / 2 ]
  [ set x num-issues ]


  ask towns [ set referendum [] ]
  ask households [
    let vote my-issues
    repeat num-issues - x [ set vote butfirst vote ]
    ;    show vote ; debug
    ask min-one-of towns [distance myself]
      [ set referendum lput vote referendum ]]




  ask towns [
    ;     show town-policies
    let near-me my-color
    if count households with [ pcolor = near-me ] > 0 [
      let issue 0
      let new-policies []
      repeat x [
        let votes []
        foreach referendum
          [ ?1 -> set votes fput item issue ?1 votes ]
        if not empty? votes [ let winner median votes
        ifelse winner = 1 or winner = 0
        [ set new-policies lput winner new-policies ]
        [ set new-policies lput item issue town-policies new-policies ]
        set issue issue + 1 ]]
      ;       show new-policies
      set town-policies new-policies ]]
end

to move-unhappy
  ask households with [happy? = false]
   [ setxy random-pxcor random-pycor ]
end


;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
;; VISUALIZATION & DEBUGGING ;;
;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
to shade-houses
  ask households [
    set color gray
    let x reduce + my-issues
    if x / num-issues < 0.4
      [set color white ]
    if x / num-issues > 0.6
      [set color black ]]
end

to update-desirability
  ask towns
  [ let col my-color
    set desirability count patches with [ pcolor = col ]]
end

to update-stats
  set percent-happy 100 * (count households with [happy? = true]) / (count households)

  let town-ideologies []
  let state-ideologies []
  if states? [ ask states [ set state-ideologies lput summarize-ideology state-policies state-ideologies ] ]
  ask towns [ set town-ideologies lput summarize-ideology town-policies town-ideologies ]

  if states? [
    set min-state-ideology min state-ideologies
    set max-state-ideology max state-ideologies
    set mean-state-ideology mean state-ideologies
    set sd-town-ideology standard-deviation town-ideologies
  ]

  set min-town-ideology min town-ideologies
  set max-town-ideology max town-ideologies
  set mean-town-ideology mean town-ideologies
  set sd-town-ideology standard-deviation town-ideologies
end

to-report summarize-ideology [policies]
  report (reduce + policies) / length policies
end
@#$#@#$#@
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ticks
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BUTTON
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setup
setup
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T
OBSERVER
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BUTTON
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go
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OBSERVER
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BUTTON
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step
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num-communities
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PLOT
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town ideologies
ideology
count
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true
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"" ""
PENS
"default" 0.1 1 -16777216 true "" "histogram [summarize-ideology town-policies] of towns"

PLOT
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state ideologies
ideology
count
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5.0
false
false
"" ""
PENS
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SWITCH
387
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491
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color-boundaries?
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MONITOR
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min-town-ideology
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TEXTBOX
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Ideologies\n
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MONITOR
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CHOOSER
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scenario
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state-sd
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MONITOR
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town-sd
sd-town-ideology
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1
11

@#$#@#$#@
## WHAT IS IT?

(a general understanding of what the model is trying to show or explain)

## HOW IT WORKS

(what rules the agents use to create the overall behavior of the model)

## HOW TO USE IT

(how to use the model, including a description of each of the items in the Interface tab)

## THINGS TO NOTICE

(suggested things for the user to notice while running the model)

## THINGS TO TRY

(suggested things for the user to try to do (move sliders, switches, etc.) with the model)

## EXTENDING THE MODEL

(suggested things to add or change in the Code tab to make the model more complicated, detailed, accurate, etc.)

## NETLOGO FEATURES

(interesting or unusual features of NetLogo that the model uses, particularly in the Code tab; or where workarounds were needed for missing features)

## RELATED MODELS

(models in the NetLogo Models Library and elsewhere which are of related interest)

## CREDITS AND REFERENCES

(a reference to the model's URL on the web if it has one, as well as any other necessary credits, citations, and links)
@#$#@#$#@
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@#$#@#$#@
NetLogo 6.1.0
@#$#@#$#@
@#$#@#$#@
@#$#@#$#@
<experiments>
  <experiment name="early sweep" repetitions="100" runMetricsEveryStep="false">
    <setup>setup</setup>
    <go>go</go>
    <timeLimit steps="500"/>
    <metric>min-state-ideology</metric>
    <metric>mean-state-ideology</metric>
    <metric>max-state-ideology</metric>
    <metric>sd-state-ideology</metric>
    <metric>min-town-ideology</metric>
    <metric>mean-town-ideology</metric>
    <metric>max-town-ideology</metric>
    <metric>sd-town-ideology</metric>
    <enumeratedValueSet variable="num-issues">
      <value value="10"/>
      <value value="50"/>
      <value value="100"/>
    </enumeratedValueSet>
    <steppedValueSet variable="num-households" first="1000" step="100" last="2000"/>
    <enumeratedValueSet variable="intensity">
      <value value="45"/>
      <value value="50"/>
      <value value="55"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="state-election-cycle">
      <value value="20"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="town-election-cycle">
      <value value="5"/>
    </enumeratedValueSet>
  </experiment>
  <experiment name="test-setup" repetitions="30" runMetricsEveryStep="true">
    <setup>setup</setup>
    <go>step</go>
    <timeLimit steps="1"/>
    <metric>percent-happy</metric>
    <enumeratedValueSet variable="max-length">
      <value value="500"/>
    </enumeratedValueSet>
    <steppedValueSet variable="intensity" first="45" step="1" last="55"/>
    <steppedValueSet variable="num-communities" first="5" step="5" last="30"/>
    <steppedValueSet variable="num-households" first="500" step="100" last="1000"/>
    <steppedValueSet variable="num-issues" first="10" step="20" last="90"/>
  </experiment>
  <experiment name="testsetup2" repetitions="100" runMetricsEveryStep="true">
    <setup>setup</setup>
    <go>step</go>
    <timeLimit steps="1"/>
    <metric>percent-happy</metric>
    <enumeratedValueSet variable="max-length">
      <value value="500"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="intensity">
      <value value="49"/>
      <value value="50"/>
      <value value="51"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="num-communities">
      <value value="30"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="num-households">
      <value value="1000"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="num-issues">
      <value value="9"/>
      <value value="10"/>
      <value value="11"/>
      <value value="89"/>
      <value value="90"/>
      <value value="91"/>
    </enumeratedValueSet>
  </experiment>
  <experiment name="sample runs" repetitions="10" runMetricsEveryStep="true">
    <setup>setup</setup>
    <go>go</go>
    <final>if count households with [happy?] = num-households [set stable? true]</final>
    <metric>percent-happy</metric>
    <metric>min-state-ideology</metric>
    <metric>max-state-ideology</metric>
    <metric>mean-state-ideology</metric>
    <metric>min-town-ideology</metric>
    <metric>max-town-ideology</metric>
    <metric>mean-state-ideology</metric>
    <metric>stable?</metric>
    <enumeratedValueSet variable="scenario">
      <value value="&quot;64&quot;"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="cbd?">
      <value value="true"/>
      <value value="false"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="num-households">
      <value value="2000"/>
      <value value="5000"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="intensity">
      <value value="30"/>
      <value value="5"/>
      <value value="70"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="town-election-cycle">
      <value value="5"/>
      <value value="20"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="state-election-cycle">
      <value value="20"/>
      <value value="40"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="states?">
      <value value="true"/>
      <value value="false"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="num-issues">
      <value value="10"/>
      <value value="10"/>
      <value value="100"/>
    </enumeratedValueSet>
  </experiment>
  <experiment name="intensity" repetitions="30" runMetricsEveryStep="true">
    <setup>setup</setup>
    <go>go</go>
    <timeLimit steps="500"/>
    <metric>min-state-ideology</metric>
    <metric>mean-state-ideology</metric>
    <metric>max-state-ideology</metric>
    <metric>sd-state-ideology</metric>
    <metric>min-town-ideology</metric>
    <metric>mean-town-ideology</metric>
    <metric>max-town-ideology</metric>
    <metric>sd-town-ideology</metric>
    <enumeratedValueSet variable="num-households">
      <value value="2000"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="state-election-cycle">
      <value value="20"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="intensity">
      <value value="41"/>
      <value value="42"/>
      <value value="43"/>
      <value value="44"/>
      <value value="46"/>
      <value value="47"/>
      <value value="48"/>
      <value value="49"/>
      <value value="51"/>
      <value value="52"/>
      <value value="53"/>
      <value value="54"/>
      <value value="56"/>
      <value value="57"/>
      <value value="58"/>
      <value value="59"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="num-issues">
      <value value="50"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="town-election-cycle">
      <value value="5"/>
    </enumeratedValueSet>
  </experiment>
  <experiment name="early dynamics" repetitions="50" runMetricsEveryStep="true">
    <setup>setup</setup>
    <go>go</go>
    <timeLimit steps="500"/>
    <metric>min-state-ideology</metric>
    <metric>mean-state-ideology</metric>
    <metric>max-state-ideology</metric>
    <metric>sd-state-ideology</metric>
    <metric>min-town-ideology</metric>
    <metric>mean-town-ideology</metric>
    <metric>max-town-ideology</metric>
    <metric>sd-town-ideology</metric>
    <enumeratedValueSet variable="num-households">
      <value value="2000"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="states?">
      <value value="true"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="max-length">
      <value value="500"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="state-election-cycle">
      <value value="20"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="line?">
      <value value="false"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="intensity">
      <value value="40"/>
      <value value="45"/>
      <value value="50"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="num-issues">
      <value value="50"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="town-election-cycle">
      <value value="5"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="num-communities">
      <value value="64"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="scenario">
      <value value="&quot;64&quot;"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="color-boundaries?">
      <value value="true"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="cbd?">
      <value value="true"/>
    </enumeratedValueSet>
  </experiment>
  <experiment name="irregular" repetitions="30" runMetricsEveryStep="false">
    <setup>setup</setup>
    <go>go</go>
    <timeLimit steps="500"/>
    <metric>min-state-ideology</metric>
    <metric>mean-state-ideology</metric>
    <metric>max-state-ideology</metric>
    <metric>sd-state-ideology</metric>
    <metric>min-town-ideology</metric>
    <metric>mean-town-ideology</metric>
    <metric>max-town-ideology</metric>
    <metric>sd-town-ideology</metric>
    <metric>percent-happy</metric>
    <enumeratedValueSet variable="max-length">
      <value value="500"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="num-issues">
      <value value="50"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="states?">
      <value value="true"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="town-election-cycle">
      <value value="5"/>
      <value value="20"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="cbd?">
      <value value="false"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="num-households">
      <value value="2000"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="scenario">
      <value value="&quot;default&quot;"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="intensity">
      <value value="40"/>
      <value value="45"/>
      <value value="50"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="state-election-cycle">
      <value value="5"/>
      <value value="20"/>
    </enumeratedValueSet>
  </experiment>
</experiments>
@#$#@#$#@
@#$#@#$#@
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Line -7500403 true 150 150 210 180
@#$#@#$#@
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