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model.nlogo
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extensions[Nw array]
globals[L M]
breed[OCs OC] ;orange circles
breed[BCs BC] ;blue circles
breed[OSs OS] ;orange stars
breed[BSs BS] ;blue stars
undirected-link-breed[inLinks inLink] ;links with agents of the same color and shape
undirected-link-breed[outLinksColor outLinkColor] ;with the same shape, but of different color
undirected-link-breed[outLinksShape outLinkShape] ;with the same color, but of different shape
undirected-link-breed[outLinks outLink] ;with different color and shape
links-own[fairness] ;is this collaboration fair? If no, who discriminates?
turtles-own[
mSelf mOut mOutshape mOutColor ;productivity multipliers
strategyIn strategyOut strategyOutColor strategyOutShape ;current strategies of this agent
payoffsIn payoffsOut payoffsOutColor payoffsOutShape ;(potential) payoffs of each strategy in the last round
energy ;actual payoff from the last game
]
;runs once as the simulation starts
to setup
clear-all
set M 5
set L (10 - H)
setupAgents
if mode = "Fixed network" [setupNetwork]
reset-ticks
end
;runs once per tick/ round
to go
ifelse ticks >= maxTicks [stop][tick]
play
;mode decides what gets updated
(ifelse mode = "Fixed network" [
ask turtles [
let i random-float 1
if i < updateChance [updateStrategies]
]
] mode = "Fixed strategies"[
ask one-of turtles [updateNetwork]
][
ask turtles [
let i random-float 1
let j random-float 1
if i < updateChance AND j < 0.5 [updateStrategies]
if i < updateChance AND j > 0.5 [updateNetwork]
]
])
checkLinks
end
;each group of agents is initialized separately
to setupAgents
create-OCs sizeOC[
set color orange
set shape "circle"
set mSelf mOrange * mCircle
set mOut (mSelf + mBlue * mStar) / 2
set mOutColor (mSelf + mBlue * mCircle) / 2
set mOutShape (mSelf + mOrange * mStar) / 2
if mode = "Fixed strategies" [
set strategyIn 1
(ifelse
OC-BC = "OC > BC" [set strategyOutColor 2]
OC-BC = "OC < BC" [set strategyOutColor 0]
[set strategyOutColor 1]
)
(ifelse
OC-OS = "OC > OS" [set strategyOutShape 2]
OC-OS = "OC < OS" [set strategyOutShape 0]
[set strategyOutShape 1]
)
(ifelse
OC-BS = "OC > BS" [set strategyOut 2]
OC-BS = "OC < BS" [set strategyOut 0]
[set strategyOut 1]
)
]
]
create-OSs sizeOS[
set color orange
set shape "star"
set mSelf mOrange * mStar
set mOut (mSelf + mBlue * mCircle) / 2
set mOutColor (mSelf + mBlue * mStar) / 2
set mOutShape (mSelf + mOrange * mCircle) / 2
if mode = "Fixed strategies" [
set strategyIn 1
(ifelse
OS-BS = "OS > BS" [set strategyOutColor 2]
OS-BS = "OS < BS" [set strategyOutColor 0]
[set strategyOutColor 1]
)
(ifelse
OC-OS = "OC < OS" [set strategyOutShape 2]
OC-OS = "OC > OS" [set strategyOutShape 0]
[set strategyOutShape 1]
)
(ifelse
BC-OS = "BC < OS" [set strategyOut 2]
BC-OS = "BC > OS" [set strategyOut 0]
[set strategyOut 1]
)
]
]
create-BSs sizeBS[
set color blue
set shape "star"
set mSelf mBlue * mStar
set mOut (mSelf + mOrange * mCircle) / 2
set mOutColor (mSelf + mOrange * mStar) / 2
set mOutShape (mSelf + mBlue * mCircle) / 2
if mode = "Fixed strategies" [
set strategyIn 1
(ifelse
OS-BS = "OS < BS" [set strategyOutColor 2]
OS-BS = "OS > BS" [set strategyOutColor 0]
[set strategyOutColor 1]
)
(ifelse
BC-BS = "BC < BS" [set strategyOutShape 2]
BC-BS = "BC > BS" [set strategyOutShape 0]
[set strategyOutShape 1]
)
(ifelse
OC-BS = "OC < BS" [set strategyOut 2]
OC-BS = "OC > BS" [set strategyOut 0]
[set strategyOut 1]
)
]
]
create-BCs sizeBC[
set color blue
set shape "circle"
set mSelf mBlue * mCircle
set mOut (mSelf + mOrange * mStar) / 2
set mOutColor (mSelf + mOrange * mCircle) / 2
set mOutShape (mSelf + mBlue * mStar) / 2
if mode = "Fixed strategies" [
set strategyIn 1
(ifelse
OC-BC = "OC < BC" [set strategyOutColor 2]
OC-BC = "OC > BC" [set strategyOutColor 0]
[set strategyOutColor 1]
)
(ifelse
BC-BS = "BC > BS" [set strategyOutShape 2]
BC-BS = "BC < BS" [set strategyOutShape 0]
[set strategyOutShape 1]
)
(ifelse
BC-OS = "BC > OS" [set strategyOut 2]
BC-OS = "BC < OS" [set strategyOut 0]
[set strategyOut 1]
)
]
]
;all agents are placed in a random position of the world, initialized with empty payoff lists
;if strategies are to be updated, they also start with random demands for each group
ask turtles[
set xcor random-xcor
set ycor random-ycor
set payoffsIn array:from-list (list 0 0 0)
set payoffsOut array:from-list (list 0 0 0)
set payoffsOutColor array:from-list (list 0 0 0)
set payoffsOutShape array:from-list (list 0 0 0)
if mode != "Fixed strategies"[
set strategyIn random 3
set strategyOutColor random 3
set strategyOut random 3
set strategyOutShape random 3
]
]
end
;creates a network based on pIn and pOut for both shape and color
to setupNetwork
ask turtles[
ask other turtles[
let i random-float 1
if color = [color] of myself AND shape = [shape] of myself AND (i > (1 - pInColor) * (1 - pInShape))[
createLink myself self
]
if color = [color] of myself AND shape != [shape] of myself AND (i > (1 - pInColor) * (1 - pOutShape))[
createLink myself self
]
if color != [color] of myself AND shape = [shape] of myself AND (i > (1 - pOutColor) * (1 - pInShape))[
createLink myself self
]
if color != [color] of myself AND shape != [shape] of myself AND (i > (1 - pOutColor) * (1 - pOutShape))[
createLink myself self
]
]
]
;checks whether the just created network is connected
let pathCheck true
ask turtles[
ask other turtles[
if nw:path-to myself = false [set pathCheck false]
]
]
print (word "It is " pathCheck " that there are paths between any two agents.")
if (pathCheck = false AND requireConnectedGraph = true) [
print "Because the settings require a connected graph, the network will now be regenerated."
setupNetwork
]
checkLinks
end
;categorizes each individual link as fair or discriminatory
to checkLinks
ask inlinks [
let i 0
ask both-ends [set i i + strategyIn]
ifelse i = 2 * [strategyIn] of one-of both-ends [set fairness "fair"][set fairness "unfair"]
]
ask outLinksColor [
let i [strategyOutColor] of one-of both-ends with [color = orange]
let j [strategyOutColor] of one-of both-ends with [color = blue]
if i = j [set fairness "fair"]
if i > j [set fairness "Orange discriminates"] ;and i = 2
if i < j [set fairness "Blue discriminates"]
]
ask outLinksShape [
let i [strategyOutShape] of one-of both-ends with [shape = "circle"]
let j [strategyOutShape] of one-of both-ends with [shape = "star"]
if i = j [set fairness "fair"]
if i > j [set fairness "Circle discriminates"]
if i < j [set fairness "Star discriminates"]
]
ask outLinks[
ifelse any? both-ends with [shape = "circle" and color = orange][
let i [strategyOut] of one-of both-ends with [shape = "circle"]
let j [strategyOut] of one-of both-ends with [shape = "star"]
if i = j [set fairness "fair"]
if i > j [set fairness "Orange circle discriminates"]
if i < j [set fairness "Blue star discriminates"]
][
let i [strategyOut] of one-of both-ends with [shape = "circle"]
let j [strategyOut] of one-of both-ends with [shape = "star"]
if i = j [set fairness "fair"]
if i > j [set fairness "Blue circle discriminates"]
if i < j [set fairness "Orange star discriminates"]
]
]
end
;determines the (potential) payoff for each agent for each strategy
to play
ask turtles[
;determines the payoffs for each of the 12 combinations of links and strategies
array:set payoffsIn 0 ((count inLink-neighbors) * L * mSelf)
array:set payoffsIn 1 (count inLink-neighbors with [strategyIn < 2] * M * mSelf)
array:set payoffsIn 2 (count inLink-neighbors with [strategyIn < 1] * H * mSelf)
array:set payoffsOutColor 0 (count outLinkColor-neighbors * L * mOutColor)
array:set payoffsOutColor 1 (count outLinkColor-neighbors with [strategyOutColor < 2] * M * mOutColor)
array:set payoffsOutColor 2 ((count outLinkColor-neighbors with [strategyOutColor < 1]) * H * mOutColor)
array:set payoffsOutShape 0 (count outLinkShape-neighbors * L * mOutShape)
array:set payoffsOutShape 1 (count outLinkShape-neighbors with [strategyOutShape < 2] * M * mOutShape)
array:set payoffsOutShape 2 (count outLinkShape-neighbors with [strategyOutShape < 1] * H * mOutShape)
array:set payoffsOut 0 (count outLink-neighbors * L * mOut)
array:set payoffsOut 1 (count outLink-neighbors with [strategyOut < 2] * M * mOut)
array:set payoffsOut 2 (count outLink-neighbors with [strategyOut < 1] * H * mOut)
;determine the energy (or actual payoff) based on the strategies played
set energy (array:item payoffsIn strategyIn
+ array:item payoffsOut strategyOut
+ array:item payoffsOutShape strategyOutShape
+ array:item payoffsOutColor strategyOutColor)
]
end
;the agent updates their strategies to those that would have given biggest payoffs this round
to updateStrategies
if count inLink-neighbors > 0 [set strategyIn rndMaxIndex array:to-list payoffsIn]
if count outLinkShape-neighbors > 0 [set strategyOutShape rndMaxIndex array:to-list payoffsOutShape]
if count outLinkColor-neighbors > 0 [set strategyOutColor rndMaxIndex array:to-list payoffsOutColor]
if count outLink-neighbors > 0 [set strategyOut rndMaxIndex array:to-list payoffsOut]
end
;follows the (somewhat contrived) procedure for network updates as described by Rubin & O'Connor
to updateNetwork
let agent1 self
let agent2 one-of turtles with [who != [who] of agent1]
let agent3 one-of turtles with [who != [who] of agent2 and who != [who] of agent1]
let i count link-neighbors
while [[who] of agent1 = [who] of agent2][
set agent2 one-of other turtles
]
ask agent2[
let j count link-neighbors
let payoff1 determinePayoff agent1 agent2
let payoff2 determinePayoff agent2 agent1
let currentPayoff1 item 0 worstLink agent1
let currentPayoff2 item 0 worstLink agent2
let worthIt1 payoff1 > currentPayoff1
let worthIt2 payoff2 > currentPayoff2
ifelse link-neighbor? agent1 [
;This is what heppens if active and passive agents are already collaborating
ask agent1 [
ask agent3[
let k count link-neighbors
let payoff3 determinePayoff agent3 agent1
let currentPayoff3 item 0 worstLink agent3
set worthIt1 determinePayoff agent1 agent2 < determinePayoff agent1 agent3
let worthIt3 payoff3 > currentPayoff3
if i < maxLinks and k < maxLinks [createLink agent1 agent3]
if i = maxLinks and k < maxLinks and worthIt1 [
ask agent1 [ask link-with agent2 [die]]
createLink agent1 agent3
]
if i < maxLinks and k = maxLinks and worthIt3 [
ask item 1 worstLink agent3 [die]
createLink agent1 agent3
]
if i = maxLinks and k = maxLinks and worthIt1 and worthIt3 [
ask agent1 [ask link-with agent2 [die]]
ask item 1 worstLink agent3 [die]
createLink agent1 agent3
]
]
]
][
;This happens when the active and passive agents are not yet collaborators
if i < maxLinks and j < maxLinks [createLink agent1 agent2]
if i = maxLinks and j < maxLinks and worthIt1 [
ask item 1 worstLink agent1 [die]
createLink agent1 agent2
]
if i < maxLinks and j = maxLinks and worthIt2 [
ask item 1 worstLink agent2 [die]
createLink agent1 agent2
]
if i = maxLinks and j = maxLinks and worthIt1 and worthIt2 [
ask item 1 worstLink agent1 [die]
ask item 1 worstLink agent2 [die]
createLink agent1 agent2
]
]
]
end
;reports the payoff a link with agent2 has/ would have for agent1
to-report determinePayoff [agent1 agent2]
let strategy1 0
let strategy2 0
let result 0
(ifelse
[color] of agent1 = [color] of agent2 AND [shape] of agent1 = [shape] of agent2 [
set strategy1 [strategyIn] of agent1
set strategy2 [strategyIn] of agent2
]
[color] of agent1 = [color] of agent2 AND [shape] of agent1 != [shape] of agent2[
set strategy1 [strategyOutShape] of agent1
set strategy2 [strategyOutShape] of agent2
]
[color] of agent1 != [color] of agent2 AND [shape] of agent1 = [shape] of agent2[
set strategy1 [strategyOutColor] of agent1
set strategy2 [strategyOutColor] of agent2
][
set strategy1 [strategyOut] of agent1
set strategy2 [strategyOut] of agent2
]
)
if strategy1 = 0 [set result L]
if strategy1 = 1 and strategy2 < 2 [set result M]
if strategy1 = 2 and strategy2 < 1 [set result H]
report result * ([mSelf] of agent1 + [mSelf] of agent2) / 2
end
;reports the agent's link with the lowest payoff
to-report worstLink [agent]
let utility 100000 ;arbitrarily high value to be counted down
let myWorstLink one-of my-links
ask agent[
ask my-links [
if utility > determinePayoff myself other-end[
set utility determinePayoff myself other-end
set myWorstLink self
]
]
]
report (list utility myWorstLink)
end
;creates the right kind of link between two agents, in terms of breed, color and shape
to createLink [agent1 agent2]
ask agent1 [
ask agent2 [
(ifelse
[color] of agent1 = [color] of agent2 AND [shape] of agent1 = [shape] of agent2 [
create-inLink-with myself
ask link-with myself [
set color [color] of myself
set shape [shape] of myself
]
]
[color] of agent1 = [color] of agent2 AND [shape] of agent1 != [shape] of agent2[
create-outLinkShape-with myself
ask link-with myself [
set color [color] of myself
set shape "default"
]
]
[color] of agent1 != [color] of agent2 AND [shape] of agent1 = [shape] of agent2[
create-outLinkColor-with myself
ask link-with myself [
set color white
set shape [shape] of myself
]
][
create-outLink-with myself
ask link-with myself [
set color white
set shape "default"
]
]
)
]
]
end
;reports a random index of the maximum value in a list (unlike the max function)
to-report rndMaxIndex [input]
let maxValue max input
let indices n-values length input [ ? -> ifelse-value (item ? input = maxValue) [?][false]]
let results filter [i -> i != false] indices
report one-of results
end
@#$#@#$#@
GRAPHICS-WINDOW
12
10
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521
-1
-1
15.212121212121213
1
10
1
1
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0
0
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-16
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0
0
1
ticks
30.0
BUTTON
204
534
277
567
NIL
setup\n
NIL
1
T
OBSERVER
NIL
NIL
NIL
NIL
1
BUTTON
288
534
351
567
NIL
go
NIL
1
T
OBSERVER
NIL
NIL
NIL
NIL
1
SLIDER
525
808
697
841
sizeOC
sizeOC
1
100
10.0
1
1
NIL
HORIZONTAL
SLIDER
700
842
872
875
sizeBS
sizeBS
0
100
40.0
1
1
NIL
HORIZONTAL
SLIDER
525
673
697
706
pInColor
pInColor
0
1
0.01
0.01
1
NIL
HORIZONTAL
SLIDER
526
711
698
744
pOutColor
pOutColor
0
1
0.01
0.01
1
NIL
HORIZONTAL
SWITCH
37
595
238
628
requireConnectedGraph
requireConnectedGraph
0
1
-1000
SLIDER
241
595
414
628
H
H
0
10
6.0
1
1
NIL
HORIZONTAL
SLIDER
212
633
385
666
updateChance
updateChance
0
1
0.1
0.05
1
NIL
HORIZONTAL
BUTTON
355
534
419
568
NIL
go
T
1
T
OBSERVER
NIL
NIL
NIL
NIL
1
PLOT
527
10
968
434
Link fainess
ticks
Percentage of all links
0.0
10.0
0.0
100.0
true
true
"" ""
PENS
"Fair inlinks" 1.0 0 -7500403 true "" "if count inlinks with [fairness = \"fair\"] > 0 [plot (count inlinks with [fairness = \"fair\"]) / count links * 100]"
"Fair outlinks" 1.0 0 -10899396 true "" "if count links with [breed != inlinks AND fairness = \"fair\"] > 0 [plot (count links with [breed != inlinks AND fairness = \"fair\"]) / count links * 100]"
"Unfair outlinks" 1.0 0 -2674135 true "" "if count Links > 0 [plot (count Links with [fairness != \"fair\" AND breed != inlinks]) / count links * 100]"
"Unfair inlinks" 1.0 0 -8630108 true "" "if count inlinks with [fairness = \"unfair\"] > 0 [plot (count inlinks with [fairness = \"unfair\"]) / count links * 100]"
CHOOSER
29
527
195
572
Mode
Mode
"Fixed network" "Fixed strategies" "Dynamic"
0
SLIDER
36
633
209
666
maxLinks
maxLinks
1
50
3.0
1
1
NIL
HORIZONTAL
PLOT
971
10
1472
435
Linkcounts
Ticks
Links
0.0
10.0
0.0
10.0
true
true
"" ""
PENS
"Between Colors" 1.0 0 -7500403 true "" "plot count links with [color = white]"
"Within Orange" 1.0 0 -955883 true "" "plot count links with [color = orange]"
"Within Blue" 1.0 0 -13345367 true "" "plot count Links with [color = blue]"
"Within Circles" 1.0 0 -5825686 true "" "plot count Links with [shape = \"circle\"]"
"Within Stars" 1.0 0 -2674135 true "" "plot count Links with [shape = \"star\"]"
"Between Shapes" 1.0 0 -6459832 true "" "plot count Links with [shape = \"default\"]"
"Proper outlinks" 1.0 0 -13840069 true "" "plot count outlinks"
INPUTBOX
36
676
197
736
maxTicks
100.0
1
0
Number
SLIDER
701
673
873
706
pInShape
pInShape
0
1
0.01
0.01
1
NIL
HORIZONTAL
SLIDER
699
807
871
840
sizeOS
sizeOS
0
100
10.0
1
1
NIL
HORIZONTAL
SLIDER
525
842
697
875
sizeBC
sizeBC
0
100
40.0
1
1
NIL
HORIZONTAL
SLIDER
701
711
874
744
pOutShape
pOutShape
0.00
1
0.01
0.01
1
NIL
HORIZONTAL
TEXTBOX
191
756
341
774
Strategy fairness
12
0.0
0
CHOOSER
35
781
173
826
OC-OS
OC-OS
"OC > OS" "OC < OS" "OC = OS"
0
CHOOSER
176
781
314
826
OC-BC
OC-BC
"OC > BC" "OC < BC" "OC = BC"
2
CHOOSER
316
781
454
826
OC-BS
OC-BS
"OC > BS" "OC < BS" "OC = BS"
0
CHOOSER
35
828
173
873
BC-OS
BC-OS
"BC > OS" "BC < OS" "BC = OS"
0
CHOOSER
176
828
314
873
BC-BS
BC-BS
"BC > BS" "BC < BS" "BC = BS"
0
CHOOSER
316
828
454
873
OS-BS
OS-BS
"OS > BS" "OS < BS" "OS = BS"
0
PLOT
1475
10
1917
435
Energy
ticks
Mean energy per group
0.0
10.0
0.0
10.0
true
true
"" ""
PENS
"Orange circles" 1.0 0 -955883 true "" "let i 0\nask OCs[ set i i + energy]\nplot i / count OCs"
"Orange stars" 1.0 0 -10899396 true "" "let i 0\nask OSs[ set i i + energy]\nplot i / count OSs"
"Blue circles" 1.0 0 -13345367 true "" "let i 0\nask BCs[ set i i + energy]\nplot i / count BCs"
"Blue stars" 1.0 0 -2064490 true "" "let i 0\nask BSs[ set i i + energy]\nplot i / count BSs"
PLOT
968
438
1286
712
OC-OS
ticks
Percentage of links
0.0
10.0
0.0
100.0
true
true
"" ""
PENS
"OC > OS" 1.0 0 -2674135 true "" "let i 0\nlet j 0\nask OCs [ \nask my-outLinksShape[\n set i i + 1\n if fairness = \"Circle discriminates\" [set j j + 1]\n ]\n]\nif i > 0 [plot j / i * 100]\n"
"OC < OS" 1.0 0 -10899396 true "" "let i 0\nlet j 0\nask OCs [\nask my-outLinksShape[\n set i i + 1\n if fairness = \"Star discriminates\" [set j j + 1]\n ]\n]\nif i > 0 [plot j / i * 100]\n"
"OC = OS" 1.0 0 -7500403 true "" "let i 0\nlet j 0\nask OCs[ask my-outlinksShape[\nset i i + 1\n if fairness = \"fair\" [set j j + 1]\n ]\n]\nif i > 0 [plot j / i * 100]\n"
PLOT
1288
438
1607
712
OC-BC
ticks
Percentage of links
0.0
10.0
0.0
100.0
true
true
"" ""
PENS
"OC > BC" 1.0 0 -2674135 true "" "let i 0\nlet j 0\nask OCs [ \nask my-outLinksColor[\n set i i + 1\n if fairness = \"Orange discriminates\" [set j j + 1]\n ]\n]\nif i > 0 [plot j / i * 100]\n"
"OC < BC" 1.0 0 -10899396 true "" "let i 0\nlet j 0\nask OCs [ \nask my-outLinksColor[\n set i i + 1\n if fairness = \"Blue discriminates\" [set j j + 1]\n ]\n]\nif i > 0 [plot j / i * 100]\n"
"OC = BC" 1.0 0 -7500403 true "" "let i 0\nlet j 0\nask OCs [ \nask my-outLinksColor[\n set i i + 1\n if fairness = \"fair\" [set j j + 1]\n ]\n]\nif i > 0 [plot j / i * 100]\n"
PLOT
1610
438
1918
712
OC-BS
ticks
Percentage of links
0.0
10.0
0.0
100.0
true
true
"" ""
PENS
"OC > BS" 1.0 0 -2674135 true "" "let i 0\nlet j 0\nask OCs [ \nask my-outLinks[\n set i i + 1\n if fairness = \"Orange circle discriminates\" [set j j + 1]\n ]\n]\nif i > 0 [plot j / i * 100]\n"
"OC < BS" 1.0 0 -10899396 true "" "let i 0\nlet j 0\nask OCs [ \nask my-outLinks[\n set i i + 1\n if fairness = \"Blue star discriminates\" [set j j + 1]\n ]\n]\nif i > 0 [plot j / i * 100]\n"
"OC = BS" 1.0 0 -7500403 true "" "let i 0\nlet j 0\nask OCs [ \nask my-outLinks[\n set i i + 1\n if fairness = \"fair\" [set j j + 1]\n ]\n]\nif i > 0 [plot j / i * 100]\n"
PLOT
968
714
1286
989
BC-OS
ticks
Percentage of links
0.0
10.0
0.0
100.0
true
true
"" ""
PENS
"BC > OS" 1.0 0 -2674135 true "" "let i 0\nlet j 0\nask BCs [ \nask my-outLinks[\n set i i + 1\n if fairness = \"Blue circle discriminates\" [set j j + 1]\n ]\n]\nif i > 0 [plot j / i * 100]\n"
"BC < OS" 1.0 0 -10899396 true "" "let i 0\nlet j 0\nask BCs [ \nask my-outLinks[\n set i i + 1\n if fairness = \"Orange star discriminates\" [set j j + 1]\n ]\n]\nif i > 0 [plot j / i * 100]\n"
"BC = OS" 1.0 0 -7500403 true "" "let i 0\nlet j 0\nask BCs [ \nask my-outLinks[\n set i i + 1\n if fairness = \"fair\" [set j j + 1]\n ]\n]\nif i > 0 [plot j / i * 100]\n"
PLOT
1288
714
1608
990
BC-BS
ticks
Percentage of links
0.0
10.0
0.0
100.0
true
true
"" ""
PENS
"BC > BS" 1.0 0 -2674135 true "" "let i 0\nlet j 0\nask BCs [ \nask my-outLinksShape[\n set i i + 1\n if fairness = \"Circle discriminates\" [set j j + 1]\n ]\n]\nif i > 0 [plot j / i * 100]\n"
"BC < BS" 1.0 0 -10899396 true "" "let i 0\nlet j 0\nask BCs [ \nask my-outLinksShape[\n set i i + 1\n if fairness = \"Star discriminates\" [set j j + 1]\n ]\n]\nif i > 0 [plot j / i * 100]\n"
"BC = BS" 1.0 0 -7500403 true "" "let i 0\nlet j 0\nask BCs [ \nask my-outLinksShape[\n set i i + 1\n if fairness = \"fair\" [set j j + 1]\n ]\n]\nif i > 0 [plot j / i * 100]\n"
PLOT
1610
714
1919
990
OS-BS
ticks
Percentage of links
0.0
10.0
0.0
100.0
true
true
"" ""
PENS
"OS > BS" 1.0 0 -2674135 true "" "let i 0\nlet j 0\nask OSs [ \nask my-outLinksColor[\n set i i + 1\n if fairness = \"Orange discriminates\" [set j j + 1]\n ]\n]\nif i > 0 [plot j / i * 100]\n"
"OS < BS" 1.0 0 -10899396 true "" "let i 0\nlet j 0\nask OSs [ \nask my-outLinksColor[\n set i i + 1\n if fairness = \"Blue discriminates\" [set j j + 1]\n ]\n]\nif i > 0 [plot j / i * 100]\n"
"OS = BS" 1.0 0 -7500403 true "" "let i 0\nlet j 0\nask OSs [ \nask my-outLinksColor[\n set i i + 1\n if fairness = \"fair\" [set j j + 1]\n ]\n]\nif i > 0 [plot j / i * 100]\n"
SLIDER
528
534
703