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egocentricBias.nlogo
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turtles-own [
deg
decision
new-decision
outcome
sum-outcome
advice-value
]
to setup
clear-all
set-default-shape turtles "person"
create-turtles agent-count
resize-world (count turtles / 1.9 * -1) (count turtles / 1.9) (count turtles / 1.9 * -1) (count turtles / 1.9)
ask turtles [spawn]
layout-circle turtles (count turtles / 2)
reset-ticks
end
to go
if (mean [abs outcome] of turtles < 0.01) [stop]
ask turtles [prepare-decision]
ask turtles [make-decision]
ask turtles [evaluate-decision]
; Every few decisions we run an evolutionary algorithm.
if (ticks mod decision-count = 0) [
naturally-select
]
tick
end
to spawn
make-friends
set decision random-normal 0 1
evaluate-decision
end
; Forge links with other turtles at random.
; Might make more sense to inherit connections from parents to some extent.
to make-friends
set deg ifelse-value vary-degree [
; Normal distribution around the specified mean.
degree + random-normal 0 1 * degree
][
degree
]
; don't allow isolates
if (deg < 1) [set deg 1]
repeat (deg - count my-links)[
create-links-with n-of (deg - count my-links) other turtles
]
end
; Decisions are made on the basis of experience of nearby others plus their advice.
to make-decision
set decision new-decision
end
to prepare-decision
set new-decision (discounting * advice) + ((1 - discounting) * mean [advice] of in-link-neighbors)
end
to-report advice
set sum-outcome sum [outcome] of in-link-neighbors
ifelse (sum-outcome = 0)[
set advice-value 0
][
set advice-value mean [get-weighted-decision [sum-outcome] of myself] of in-link-neighbors
]
report advice-value
end
; Decision weighted by outcome as a proportion of all relative outcomes
to-report get-weighted-decision [weight]
report decision * outcome / weight
end
; The decision function currently just rewards values of 0 and penalises other values by their amount
to evaluate-decision
set outcome -1 * abs decision
end
; Take the best-performing turtles and clone them with a mutation chance.
; The others die.
to naturally-select
end
@#$#@#$#@
GRAPHICS-WINDOW
142
10
839
708
-1
-1
13.0
1
10
1
1
1
0
0
0
1
-26
26
-26
26
0
0
1
ticks
30.0
BUTTON
75
10
134
43
NIL
go
T
1
T
OBSERVER
NIL
R
NIL
NIL
1
BUTTON
2
10
65
43
NIL
setup
NIL
1
T
OBSERVER
NIL
S
NIL
NIL
1
SLIDER
3
51
136
84
agent-count
agent-count
2
100
51.0
1
1
agents
HORIZONTAL
SLIDER
22
164
55
399
degree
degree
1
agent-count - 1
4.0
1
1
connections
VERTICAL
SWITCH
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90
137
123
vary-degree
vary-degree
0
1
-1000
SLIDER
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165
104
398
decision-count
decision-count
1
1000
151.0
1
1
decisions/generation
VERTICAL
SLIDER
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128
138
161
discounting
discounting
0
1
0.6
0.01
1
NIL
HORIZONTAL
PLOT
3
427
163
663
Inefficiency
time
mean error
0.0
10.0
0.0
1.0
true
false
"" ""
PENS
"default" 1.0 0 -16777216 true "" "plot mean [abs outcome] of turtles"
MONITOR
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677
194
722
NIL
mean [abs outcome] of turtles
2
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 6.0.2
@#$#@#$#@
@#$#@#$#@
@#$#@#$#@
@#$#@#$#@
@#$#@#$#@
default
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link direction
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@#$#@#$#@
0
@#$#@#$#@