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programme_v6.nlogo
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;; variables globales
globals [
cooperation-rate
satisfaction-rate
fraction-best
maxi
mini
conf
anti
life-distribution]
;; variables relatives aux tortues
turtles-own [
cooperate? ;; patch will cooperate
rule ;; patch will have one of four rules: 1=Maxi 2=mini 3=conformist 4=anticonformist
score ;; score resulting from interaction of neighboring patches. It is dictated by the PD payoffs and the discount factor
last-score ;; score à t-1
inst-score ;; score à t
count-majority-rule ; nbr de tortues voisines ayant la règle majoritaire à t
count-minority-rule ; nbr de tortues voisines ayant la règle minoritaire à t
last-count-majority-rule ; nbr de tortues voisines ayant la règle majoritaire à t-1
last-count-minority-rule ; nbr de tortues voisines ayant la règle minoritaire à t-1
satisfaction ;; score de satisfaction
age ;;
rule? ;; tortue à une règle qu’elle veut changer ou non
behavior? ;; tortue à un comportement qu’elle veut changerou non
move? ;; tortue est à un endroit d’ou elle veut bouger ou non
theta_1 ;; prob de changer son comportement
theta_2 ;; prob de changer sa règle
prob-reflexion? ;;
weighting-history-maxi
weighting-history-mini
weighting-history-conf
weighting-history-anti ;; poids associé au score
likelihood-to-move ;; prob de bouger
]
to setup
clear-all ;; monde vide
ask patches [ ;; dit aux patches
set pcolor 0 ;; d’avoir la couleur 0
if random-float 1 < density [ sprout 1 ] ;; s’il n’y a pas de tortue en créer une
]
ask turtles [
set rule (random 4) + 1 ;; donne une stratégie à chaque tortue
set shape "face happy" ;; chaque tortue est contente au départ
ifelse random-float 1.0 < (inicoop / 100) ;; si la coopération initiale de la tortue est supérieure à un entier alors ont dit qu’il coopère sinon on dit qu’il ne coopère pas
[set cooperate? true]
[set cooperate? false]
set score 0.0 ;; score de zéro au départ
set rule? false
set behavior? false
set move? false
ifelse random-init
[
set theta_1 random-float 1.0
set theta_2 random-float 1.0
set weighting-history-maxi random-float 1.0
set weighting-history-mini random-float 1.0
set weighting-history-conf random-float 1.0
set weighting-history-anti random-float 1.0
set likelihood-to-move random-float 1.0
] ;; si décide que l’initiation est randomisée on randomise tous les paramètres
[
set theta_1 Initial-prob-update-behavior
set theta_2 Initial-prob-update-rule
set weighting-history-maxi Initial-weighting-history-maxi
set weighting-history-mini Initial-weighting-history-mini
set weighting-history-conf Initial-weighting-history-conf
set weighting-history-anti Initial-weighting-history-anti
set likelihood-to-move Initial-like-to-move
] ;; sinon on pose donne des valeurs aux paramètres mais du coup c’est uniforme pour toutes les tortues. pb?
]
ask turtles[ establish-color ]
init-age-FR2011 ;; utilise la fonction init-age pour déterminer l’age des tortues
set-life-distribution-FR2011 ;; utilise la fonction set-life-distribution pour déterminer l’espérance de vie des tortues
set-outputs
reset-ticks
end
to go
ask turtles [interact]
ask turtles [analyse-neighbors]
decision-stage
learning-stage
ask turtles [calculate-satisfaction]
moving-stage
set-outputs
update-plot
reset-decisions
replacement
update-views
ask turtles [
ifelse am-i-the-best? or am-i-progressing?; or am-i-the-best-global?
[set shape "face happy"] ;; si am-i-the-best = true ou am-i-progressing = true ou si am-i-the-best-global = true la tortue a une tête contente
[set shape "face sad"] ;; si am-i-the-best = false la tortue a une tête pas contente
]
update-views
tick
end
to interact ;; calculates the agent's payoff for Prisioner's Dilema. Each agents plays only with its neighbors
let total-cooperators count (turtles-on neighbors) with [cooperate?] ;; calcul nombre coopérateur dans les voisins de chaque tortue
set inst-score 0
ifelse cooperate?
[set inst-score total-cooperators * ( 1 - strength-of-dilemma)] ;; cooperator gets score of a multiple of neighbors who cooperated
[set inst-score total-cooperators + (count (turtles-on neighbors) - total-cooperators) * strength-of-dilemma ] ;; non-cooperator get score of a multiple of the neighbors who haven’t cooperated
set last-score score ;; on stocke le score de t-1 dans score
if rule = 1 ;; si règle maxi
[
set score inst-score * ( 1 - weighting-history-maxi) + last-score * weighting-history-maxi ;; on calcule le score à t en fonction du score à t-1
]
if rule = 2 ;; si règle mini
[
set score inst-score * ( 1 - weighting-history-mini) + last-score * weighting-history-mini ;; on calcule le score à t en fonction du score à t-1
]
if rule = 3 ;; si règle conf
[
set score inst-score * ( 1 - weighting-history-conf) + last-score * weighting-history-conf ;; on calcule le score à t en fonction du score à t-1
]
if rule = 4 ;; si règle anticonf
[
set score inst-score * ( 1 - weighting-history-anti) + last-score * weighting-history-anti ;; on calcule le score à t en fonction du score à t-1
]
end
to analyse-neighbors
let mylist [rule] of (turtle-set turtles-on neighbors self)
set mylist modes mylist
set last-count-majority-rule count-majority-rule
set count-majority-rule length mylist
let mylist2 [rule] of (turtle-set turtles-on neighbors self)
let mylist3 []
let j 1
while [empty? mylist3] [
let i 1
repeat 4 [
if length filter [? = i] mylist2 = j [set mylist3 lput i mylist3]
set i i + 1
]
set j j + 1
]
set last-count-minority-rule count-minority-rule
set count-minority-rule length mylist3
end
to decision-stage
ask turtles [
ifelse random-float 1 < likelihood-to-move
[if not am-i-the-best? or not am-i-progressing?
[set move? true]] ;; si inf à likelihood-to-move et que la tortue n’est pas la meilleure alors move = true
[ ifelse random-float 1 < theta_2 ;; sinon
[if (not am-i-the-best? or not am-i-progressing?) and not is-my-rule-the-best?
[set rule? true]] ;; si inf à theta_2//prob de changer règle et que la tortue n’est pas la meilleure et que sa règle non plus n’est pas la meilleure alors la règle peut changer
[if random-float 1 < theta_1 and (not am-i-the-best? or not am-i-progressing?)
[set behavior? true]];; sinon si inf à theta_1//prob de changer le comportement et que la tortue n’est pas la meilleure alors le comportement peut changer
]
]
ask turtles [
if move? and all? neighbors [any? turtles-here] ;; si on peut bouger et que tous les voisins sont des tortues
[set move? false ;; il n’y a pas de raison de bouger
ifelse is-my-rule-the-best? or am-i-progressing?
[set behavior? true] ;; si la règle est la meilleure alors on peut changer comportement
[set rule? true] ;; sinon on peut changer la règle
]
ifelse am-i-progressing? and (rule? or behavior?) and all? neighbors [not any? turtles-here] ;; si on peut changer la règle ou le comportement et que parmi les voisins il y a des vides
[set move? false ;; on peut bouger la tortue
set rule? false ;; il n’y a pas de raison de changer la règle
set behavior? false ] ;; il n’y a pas de raison de changer le comportement
[set move? true ;; on peut bouger la tortue
set rule? true ;; il n’y a pas de raison de changer la règle
set behavior? true ] ;; il n’y a pas de raison de changer le comportement
if age < 12 ;; vérifier comment se passe l’apprentissage
[set rule? false]
]
end
to learning-stage
ask turtles [
if rule? ;; si on peut changer la règle
[
select-rule
select-behavior
]
if behavior? ;; si on peut changer le comportement
[select-behavior]
]
end
to calculate-satisfaction
if rule = 1 ;; si règle maxi
[
let top [score] of max-one-of (turtle-set turtles-on neighbors self) [score]
let bottom [score] of min-one-of (turtle-set turtles-on neighbors self) [score]
ifelse (top - bottom) = 0
[set satisfaction 0.5]
[set satisfaction (score - bottom) / (top - bottom)] ;;sinon calcul de la satisfaction par rapport au score
]
if rule = 2 ;; si règle mini
[
let top [-1 * score] of min-one-of (turtle-set turtles-on neighbors self) [score]
let bottom [ -1 * score] of max-one-of (turtle-set turtles-on neighbors self) [score]
ifelse (top - bottom) = 0
[set satisfaction 0.5]
[set satisfaction ((-1 * score) - bottom) / (top - bottom)]
]
if rule = 3 ;; si règle conf
[
let top-rule one-of majority-rules
let top count (turtle-set turtles-on neighbors self) with [rule = top-rule]/ count (turtle-set turtles-on neighbors self)
let bottom-rule one-of minority-rules
let bottom count (turtle-set turtles-on neighbors self) with [rule = bottom-rule]/ count (turtle-set turtles-on neighbors self)
let my-rule rule
let my-group count (turtle-set turtles-on neighbors self) with [rule = my-rule]/ count (turtle-set turtles-on neighbors self)
ifelse (top - bottom) = 0
[set satisfaction 0.5]
[set satisfaction (my-group - bottom) / (top - bottom)]
]
if rule = 4 ;; si règle anticonf
[
let top-rule one-of majority-rules
let bottom -1 * count (turtle-set turtles-on neighbors self) with [rule = top-rule]/ count (turtle-set turtles-on neighbors self)
let bottom-rule one-of minority-rules
let top -1 * count (turtle-set turtles-on neighbors self) with [rule = bottom-rule]/ count (turtle-set turtles-on neighbors self)
let my-rule rule
let my-group -1 * count (turtle-set turtles-on neighbors self) with [rule = my-rule]/ count (turtle-set turtles-on neighbors self)
ifelse (top - bottom) = 0
[set satisfaction 0.5]
[set satisfaction (my-group - bottom) / (top - bottom)]
]
if not any? (turtles-on neighbors) ;; s’il n’y a pas de tortues voisines
[set satisfaction 0]
end
to moving-stage
ask turtles [if move? and not am-i-the-best? [move-agent]] ;; si on peut bouger et qu’on est pas le meilleur alors on bouge
end
to reset-decisions
ask turtles [
set move? false
set rule? false
set behavior? false
]
end
to replacement
ask turtles [
let index1 age
let index2 (age + 1)
if index1 > 99 [set index1 99]
if index2 > 99 [set index2 99]
let ex1 item index1 life-distribution ;; associe l’espérance de vie par rapport à l’age
let ex2 item index2 life-distribution ;; associe l’espérance de vie par rapport à l’age
let prob-death 1 - (ex1 / (ex2 + 1))
ifelse random-float 1 < prob-death
[replace]
[set age age + 1]
]
end
to set-outputs
set cooperation-rate count turtles with [cooperate?] / count turtles
set fraction-best count turtles with [shape = "face happy"]/ count turtles
set satisfaction-rate mean [satisfaction] of turtles
set maxi count turtles with [rule = 1] / count turtles
set mini count turtles with [rule = 2] / count turtles
set conf count turtles with [rule = 3] / count turtles
set anti count turtles with [rule = 4] / count turtles
end
to update-plot
set-current-plot "cooperation"
set-current-plot-pen "cooperation"
plot cooperation-rate
set-current-plot-pen "satisfaction"
plot satisfaction-rate
set-current-plot-pen "fraction-best"
plot fraction-best
set-current-plot "population"
set-current-plot-pen "maxi"
plot maxi
set-current-plot-pen "mini"
plot mini
set-current-plot-pen "conf"
plot conf
set-current-plot-pen "anti"
plot anti
set-current-plot "track"
set-current-plot-pen "pen1"
plot count turtles with [rule?]
set-current-plot-pen "pen2"
plot count turtles with [move?]
end
to update-views
ask turtles [establish-color]
end
to establish-color ;; couleur tortues en fiction de leur règle
if rule = 1
[set color red
]
if rule = 2
[set color green
]
if rule = 3
[set color blue
]
if rule = 4
[set color white
]
end
to replace
ifelse random-float 1.0 < 0.5
[set cooperate? true]
[set cooperate? false]
set age 0
set rule? false
set behavior? false
set move? false
set rule (random 4) + 1
end
to init-age-FR2011 ;; initialisation de l’age grâce à la pyramide des ages
let census-dist (list 0.01180683 0.01201037 0.01209845 0.01234063 0.01227253 0.01234422 0.01227801 0.01250872 0.01225243 0.01220084 0.01216063 0.01225841 0.01243949 0.01269816 0.01215054 0.01210297 0.01204218 0.01225426 0.01215026 0.01175250 0.01158990 0.01192538 0.01187672 0.01193472 0.01186481 0.01195931 0.01191443 0.01209404 0.01205728 0.01199851 0.01184490 0.01265457 0.01279754 0.01296898 0.01230444 0.01208202 0.01224300 0.01196657 0.01234141 0.01307640 0.01381147 0.01418162 0.01408421 0.01379278 0.01357054 0.01350406 0.01343341 0.01375896 0.01378147 0.01394149 0.01374521 0.01330135 0.01333475 0.01326854 0.01320184 0.01288553 0.01284952 0.01274903 0.01264137 0.01262325 0.01233349 0.01253659 0.01219221 0.01267168 0.01243927 0.01241485 0.01210161 0.01147030 0.00860238 0.00839324 0.00814365 0.00754129 0.00669977 0.00695507 0.00727191 0.00710799 0.00690240 0.00684548 0.00662450 0.00661433 0.00621870 0.00621606 0.00582400 0.00560822 0.00497965 0.00458912 0.00415829 0.00377767 0.00338402 0.00289983 0.00250650 0.00215533 0.00181251 0.00149459 0.00069600 0.00047605 0.00032965 0.00022167 0.00018668 0.00020581 0.00013013 0.00007982 0.00005118 0.00003188 0.00001312 0.00001378)
ask turtles [
let temp-init random 106
while [random-float 0.1 > item temp-init census-dist]
[set temp-init random 106]
set age temp-init
]
end
to set-life-distribution-FR2011 ;;Life expectation for ages according data colected by INSEE 2011 France métropolitaine
set life-distribution (list 81.32 80.61 79.63 78.64 77.65 76.66 75.67 74.68 73.68 72.69 71.69 70.70 69.70 68.71 67.72 66.73 65.74 64.76 63.77 62.80 61.83 60.85 59.88 58.91 57.94 56.97 56.00 55.04 54.07 53.10 52.13 51.16 50.19 49.23 48.26 47.30 46.34 45.38 44.43 43.48 42.53 41.59 40.65 39.71 38.78 37.86 36.94 36.02 35.11 34.21 33.32 32.44 31.56 30.70 29.84 28.99 28.14 27.30 26.47 25.64 24.82 24.00 23.18 22.37 21.56 20.76 19.97 19.18 18.39 17.61 16.83 16.07 15.31 14.56 13.83 13.10 12.39 11.70 11.02 10.36 9.72 9.10 8.51 7.94 7.39 6.87 6.37 5.91 5.48 5.07 4.69 4.35 4.02 3.70 3.42 3.17 2.94 2.75 2.57 2.40 )
end
to-report majority-rules ;; reports a set with the number of the most frequent rules in agent's neighborhood (agent included)
;; be careful when use in an ask cycle as the command is applied to "self"
let mylist [rule] of (turtle-set turtles-on neighbors self)
set mylist modes mylist
report mylist
end
to-report minority-rules ;; reports a set with the number of the less frequent rules in agent's neighborhood (agent included)
;; be careful when use in an ask cycle as the command is applied to "self"
let mylist_1 [rule] of (turtle-set turtles-on neighbors self)
let mylist []
let j 1
while [empty? mylist] [
let i 1
repeat 4 [
if length filter [? = i] mylist_1 = j [set mylist lput i mylist]
set i i + 1
]
set j j + 1
]
report mylist
end
to-report majority-rules-global ;; reports a set with the number of the most frequent rules in agent's neighborhood (agent included)
;; be careful when use in an ask cycle as the command is applied to "self"
let mylist [rule] of turtles
set mylist modes mylist
report mylist
end
to-report minority-rules-global ;; reports a set with the number of the less frequent rules in agent's neighborhood (agent included)
;; be careful when use in an ask cycle as the command is applied to "self"
let mylist_1 [rule] of turtles
let mylist []
let j 1
while [empty? mylist] [
let i 1
repeat 4 [
if length filter [? = i] mylist_1 = j [set mylist lput i mylist]
set i i + 1
]
set j j + 1
]
report mylist
end
to-report majority-behavior
let mylist [cooperate?] of (turtle-set turtles-on neighbors self)
report one-of modes mylist
end
to-report am-i-the-best? ;; reports true if the agents is the best in its neighborhood (according with its rule) and false otherwise
let test false
if any? turtles-on neighbors [
if (rule = 1) and (score >= [score] of max-one-of turtles-on neighbors [score] * 0.99) [set test true]
if (rule = 2) and (score <= [score] of min-one-of turtles-on neighbors [score] * 1.01) [set test true]
if (rule = 3) and (member? rule majority-rules) [set test true]
if (rule = 4) and (member? rule minority-rules) and not all? (turtles-on neighbors) [rule = 4] [set test true]
]
report test
end
to-report am-i-progressing?
let test false
if (rule = 1) and (score > last-score)
[set test true]
if (rule = 2) and (score < last-score)
[set test true]
if (rule = 3) and count-majority-rule > last-count-majority-rule
[set test true]
if (rule = 4) and count-minority-rule < last-count-minority-rule
[set test true]
report test
end
to-report am-i-the-best-global?
let test false
if (rule = 1) and (score >= [score] of max-one-of turtles [score] * 0.99)
[set test true]
if (rule = 2) and (score <= [score] of min-one-of turtles [score] * 1.01)
[set test true]
if (rule = 3) and (member? rule majority-rules-global) and all? turtles [rule = 3]
[set test true]
if (rule = 4) and (member? rule minority-rules-global) and not all? turtles [rule = 4]
[set test true]
report test
end
to-report best-elements ;; report a list with the agents with the best performance according agents
let myset (turtle-set turtles-on neighbors self)
if rule = 1 [set myset myset with [score >= [score] of max-one-of myset [score] * 0.99]]
if rule = 2 [set myset myset with [score <= [score] of min-one-of myset [score] * 1.1]]
if rule = 3 [
let rules-list majority-rules
set myset myset with [member? rule rules-list]
]
if rule = 4 [
let rules-list minority-rules
if not empty? rules-list [
set myset myset with [member? rule rules-list]
]
]
report myset
end
to-report best-elements-global ;; report a list with the agents with the best performance according agents
let myset turtles ;; myset : l'espace de toutes les tortues
if rule = 1 [set myset myset with [score >= [score] of max-one-of myset [score] * 0.99]]
if rule = 2 [set myset myset with [score <= [score] of min-one-of myset [score] * 1.1]]
if rule = 3 [
let rules-list majority-rules-global
set myset myset with [member? rule rules-list]
]
if rule = 4 [
let rules-list minority-rules-global
if not empty? rules-list [
set myset myset with [member? rule rules-list]
]
]
report myset
end
to-report is-my-rule-the-best? ;; reports true if the agent's rule is used by any of the best valuated agents in its neighborhood (according with its rule) and false otherwise
let test false
ifelse am-i-the-best? [set test true][
if member? rule [rule] of best-elements [set test true]
]
report test
end
to select-rule
;; the agent changes its rule if every more succesfull neighbor has a different rule (if them exist).
;; The agent never change his rule nor behavior if is in the set of agents with best performance (according its rule)
if not am-i-progressing?
[ if not am-i-the-best?
[
if not is-my-rule-the-best?
[copy-strategy (one-of best-elements)]
]
]
; if not am-i-progressing?
; [ ifelse am-i-the-best?
; [
; if not am-i-the-best-global?
; [copy-strategy (one-of best-elements-global)]
; ]
; [
; if not is-my-rule-the-best?
; [copy-strategy (one-of best-elements)]
; ]
;]
end
to copy-strategy [temp-agent]
set rule [rule] of temp-agent
set theta_1 [theta_1] of temp-agent
;;set theta_1 add-noise "theta_1" Transcription-error
set theta_2 [theta_2] of temp-agent
;; set theta_2 add-noise "theta_2" Transcription-error
if rule = 1 ;; si règle maxi
[
set weighting-history-maxi [weighting-history-maxi] of temp-agent
]
if rule = 2 ;; si règle mini
[
set weighting-history-mini [weighting-history-mini] of temp-agent
]
if rule = 3 ;; si règle conf
[
set weighting-history-conf [weighting-history-conf] of temp-agent
]
if rule = 4 ;; si règle anticonf
[
set weighting-history-anti [weighting-history-anti] of temp-agent
]
set likelihood-to-move [likelihood-to-move] of temp-agent
;; set likelihood-to-move add-noise "likelihood-to-move" Transcription-error
end
to-report add-noise [value noise-std]
let epsilon random-normal 0.0 noise-std
if ( epsilon <= -100 )
[ set epsilon -99]
let noisy-value runresult value * 100 / (100 + epsilon)
if (noisy-value > 1) [set noisy-value 1]
if (noisy-value < 0) [set noisy-value 0]
report noisy-value
end
to select-behavior ;; patch procedure
if any? turtles-on neighbors
[
if (rule = 1) or (rule = 2)
[set cooperate? [cooperate?] of one-of best-elements]
;;choose behavior (cooperate. not cooperate)
;; of neighbor who performed best according
;; the agent's rule
if rule = 3
[set cooperate? majority-behavior]
if rule = 4
[set cooperate? not majority-behavior]
]
end
to move-agent
if any? turtles-on neighbors ;; s’il y a conflict
[
let target one-of other best-elements
if target = nobody
[set target one-of turtles-on neighbors] ;; s’il n’y a pas de target on dit que target est un des voisins de la tortue
ifelse random-float 1 < (1 - satisfaction)*(1 - [satisfaction] of target)
[interchange-agents target] ;; si
[move-to-empty] ;; sinon exécuter move-to-empty
]
end
to move-to-empty
if any? neighbors with [not any? turtles-here] ;; si il y a des voisinages sans tortue
[move-to one-of neighbors with [not any? turtles-here]] ;; bouger la tortue vers le voisinage sans tortue
end
to interchange-agents [my-target]
let my-patch patch-here
let target-patch patch-here
ask my-target [
set target-patch patch-here
move-to my-patch
]
move-to target-patch
end
@#$#@#$#@
GRAPHICS-WINDOW
260
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682
478
16
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12.5
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10
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ticks
30.0
SWITCH
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random-init
random-init
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SLIDER
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Initial-prob-update-behavior
Initial-prob-update-behavior
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Initial-prob-update-rule
Initial-prob-update-rule
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NIL
HORIZONTAL
SLIDER
5
266
246
299
Initial-weighting-history-maxi
Initial-weighting-history-maxi
0
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HORIZONTAL
SLIDER
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Initial-weighting-history-mini
Initial-weighting-history-mini
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Initial-weighting-history-conf
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Initial-weighting-history-anti
0
1
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HORIZONTAL
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Initial-like-to-move
Initial-like-to-move
0
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inicoop
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INPUTBOX
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density
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INPUTBOX
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171
strength-of-dilemma
0.5
1
0
Number
BUTTON
155
21
218
54
go
go
T
1
T
OBSERVER
NIL
NIL
NIL
NIL
1
BUTTON
151
73
217
106
NIL
setup\n
NIL
1
T
OBSERVER
NIL
NIL
NIL
NIL
1
PLOT
704
10
904
160
cooperation
NIL
NIL
0.0
100.0
0.0
1.0
true
true
"" ""
PENS
"cooperation" 1.0 0 -16777216 true "" ""
"satisfaction" 1.0 0 -11221820 true "" ""
"fraction-best" 1.0 0 -2674135 true "" ""
PLOT
955
10
1155
160
population
NIL
NIL
0.0
100.0
0.0
1.0
true
true
"" ""
PENS
"maxi" 1.0 0 -13840069 true "" ""
"mini" 1.0 0 -2674135 true "" ""
"conf" 1.0 0 -13345367 true "" ""
"anti" 1.0 0 -3026479 true "" ""
PLOT
739
200
939
350
track
NIL
NIL
0.0
100.0
0.0
1.0
true
true
"" ""
PENS
"pen1" 1.0 0 -955883 true "" ""
"pen2" 1.0 0 -5825686 true "" ""
@#$#@#$#@
## 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)
@#$#@#$#@
default
true
0
Polygon -7500403 true true 150 5 40 250 150 205 260 250
airplane
true
0
Polygon -7500403 true true 150 0 135 15 120 60 120 105 15 165 15 195 120 180 135 240 105 270 120 285 150 270 180 285 210 270 165 240 180 180 285 195 285 165 180 105 180 60 165 15
arrow
true
0
Polygon -7500403 true true 150 0 0 150 105 150 105 293 195 293 195 150 300 150
box
false
0
Polygon -7500403 true true 150 285 285 225 285 75 150 135
Polygon -7500403 true true 150 135 15 75 150 15 285 75
Polygon -7500403 true true 15 75 15 225 150 285 150 135
Line -16777216 false 150 285 150 135
Line -16777216 false 150 135 15 75
Line -16777216 false 150 135 285 75
bug
true
0
Circle -7500403 true true 96 182 108
Circle -7500403 true true 110 127 80
Circle -7500403 true true 110 75 80
Line -7500403 true 150 100 80 30
Line -7500403 true 150 100 220 30
butterfly
true
0
Polygon -7500403 true true 150 165 209 199 225 225 225 255 195 270 165 255 150 240