breed [doctors doctor] ;; designates the First Responder agents
doctors-own [
my-neighbors
nearest-neighbor
flockmates
mineRadiationTolerance
]
patches-own [falloutZone? radiation pointsourceRad ]
to setup
clear-all
setup-patches
setup-doctors
reset-ticks
end
to setup-doctors
set-default-shape doctors "person doctor"
ask n-of initial-number-FirstResponders
(patches with [pxcor > -40 and pycor < -18] )
[ sprout-doctors 1 ]
ask doctors [
set color green
set mineRadiationTolerance random-poisson 2.5
if mineRadiationTolerance < 1
[set mineRadiationTolerance 1]
if mineRadiationTolerance > 5
[set mineRadiationTolerance 5]
]
end
to setup-patches
ask patches [
set pcolor 69
set plabel-color black
setup-pointsource
setup-falloutZone?
setup-radiation
ask patch 35 28 [set plabel "Contaminated Zone"]
]
end
to go ;; command for execution of directed agent movement
move-doctors
flock1
move-doctors1
set-master-heading
move-doctors1
reset-heading
move-doctors1
flock1
move-doctors1
tick
end
to move-doctors
let slowest 0.00000000000000000001
let slow 0.0002
let fast 0.0004
let fastest 0.0006
ask doctors [
show-radiation-dread
if mineRadiationTolerance < 1.5
[fd slowest]
if ((mineRadiationTolerance >= 1.5) and (mineRadiationTolerance < 2.5))
[fd slow]
if ((mineRadiationTolerance >= 2.5 and mineRadiationTolerance < 4))
[fd fast]
if mineRadiationTolerance >= 4
[fd fastest]
]
end
to-report average_mineRadiationTolerance
let myRT mean [mineRadiationTolerance] of flockmates
report mean myRT
end
to move-doctors1
let speed_gungho 0.02
ask doctors [
show-radiation-dread
if falloutZone? = True [set speed_gungho .3 * speed_gungho]
let F count flockmates
if F > 0
[ let myRT mean [mineRadiationTolerance] of flockmates
if myRT >= 2.5
[fd speed_gungho]
]
]
end
to set-master-heading
ask turtles [
set heading 2
]
end
to reset-heading
ask turtles [
set heading random 10
fd 0.02
]
end
to flock1
ask doctors [
;;this command line doesn't affect the agent behavior the model is designed to simulate
let myx mineRadiationTolerance
find-flockmates
if any? flockmates
[ find-nearest-neighbor
ifelse mineRadiationTolerance >= myx
[align cohere]
[separate]
]
]
end
to find-flockmates
set flockmates other turtles in-radius Communication
end
to find-nearest-neighbor
set nearest-neighbor min-one-of flockmates [distance myself]
end
to separate
turn-away ([heading] of nearest-neighbor) 2.0
end
to align
turn-towards average-flockmate-heading 2.0
end
to cohere
turn-towards average-heading-towards-flockmates 2.0
end
to-report average-flockmate-heading ;;(this code series taken from the NetLogo library flocking model)
let x-component sum [dx] of flockmates
let y-component sum [dy] of flockmates
ifelse x-component = 0 and y-component = 0
[ report heading ]
[ report atan x-component y-component ]
end
to-report average-heading-towards-flockmates
let x-component mean [sin (towards myself + 180)] of flockmates
let y-component mean [cos (towards myself + 180)] of flockmates
ifelse x-component = 0 and y-component = 0
[ report heading ]
[ report atan x-component y-component ]
end
to turn-towards [new-heading max-turn]
turn-at-most (subtract-headings new-heading heading) max-turn
end
to turn-away [new-heading max-turn]
turn-at-most (subtract-headings heading new-heading) max-turn
end
to turn-at-most [turn max-turn]
ifelse abs turn > max-turn
[ ifelse turn > 0
[ rt max-turn ]
[ lt max-turn ] ]
[ rt turn ]
end
to show-radiation-dread
ask doctors [
if ((radiation >= 9 or pointsourceRad >= 9) and mineRadiationTolerance >= 2.5)
[wiggle]
if ((radiation >= 9 or pointsourceRad >= 9) and mineRadiationTolerance < 2.5)
[wiggle1]
]
end
to wiggle ;; directs "wiggle" movement of agents to turn right 40 degrees in a random direction and move back 2 patches
back .1
rt random 40 - 80
forward .2
end
to wiggle1
back .1
rt random 40 - 80
forward .1
end
to setup-radiation
if falloutZone? [
set radiation random-poisson 9
set pcolor scale-color red radiation 50 0
]
end
to setup-pointsource
set pointsourceRad 17 - distancexy 0 30
set pcolor scale-color orange pointsourceRad 30 0
if (pointsourceRad <= 0) [set pcolor 69]
if (pointsourceRad < 0) [ set pointsourceRad 0]
end
to setup-falloutZone?
set falloutZone?
random pycor > 10
end
@#$#@#$#@
GRAPHICS-WINDOW
518
10
1316
629
-1
-1
10.0
1
15
1
1
1
0
0
0
1
-39
39
-30
30
0
0
1
ticks
30.0
SLIDER
42
227
260
260
initial-number-FirstResponders
initial-number-FirstResponders
0
500
310.0
5
1
NIL
HORIZONTAL
BUTTON
195
174
260
208
Setup
setup\n
NIL
1
T
OBSERVER
NIL
NIL
NIL
NIL
1
BUTTON
267
175
330
208
Go
go
T
1
T
OBSERVER
NIL
NIL
NIL
NIL
0
PLOT
19
285
497
628
Output Variables of Interest
tme
totals
0.0
20.0
0.0
5.0
true
true
"" ""
PENS
"#First Responders" 1.0 0 -955883 true "" "plot count doctors with [pycor > 11] "
SLIDER
264
227
449
260
Communication
Communication
0
10
5.0
.5
1
Patches
HORIZONTAL
TEXTBOX
118
42
433
102
Model 1A: First Responders’ willingness to enter a contaminated area\n
16
55.0
1
TEXTBOX
194
92
344
137
Dr. Mary Sproull\nGeorge Mason University\n 2022
12
0.0
1
@#$#@#$#@
## 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 6.2.1
@#$#@#$#@
@#$#@#$#@
@#$#@#$#@
<experiments>
<experiment name="Model1A-3" repetitions="20" runMetricsEveryStep="true">
<setup>setup</setup>
<go>go</go>
<timeLimit steps="700"/>
<metric>count doctors with [totalDose > 0 ]</metric>
<enumeratedValueSet variable="initial-number-doctors">
<value value="20"/>
<value value="50"/>
<value value="100"/>
<value value="200"/>
</enumeratedValueSet>
<enumeratedValueSet variable="Vision">
<value value="2"/>
<value value="5"/>
<value value="10"/>
</enumeratedValueSet>
</experiment>
<experiment name="Model1A-4" repetitions="20" runMetricsEveryStep="true">
<setup>setup</setup>
<go>go</go>
<timeLimit steps="700"/>
<metric>count doctors with [totalDose > 0 ]</metric>
<enumeratedValueSet variable="initial-number-doctors">
<value value="300"/>
</enumeratedValueSet>
<enumeratedValueSet variable="Vision">
<value value="2"/>
<value value="5"/>
<value value="10"/>
</enumeratedValueSet>
</experiment>
<experiment name="Model1A-5" repetitions="20" runMetricsEveryStep="true">
<setup>setup</setup>
<go>go</go>
<timeLimit steps="700"/>
<metric>count doctors with [totalDose > 0 ]</metric>
<enumeratedValueSet variable="initial-number-doctors">
<value value="300"/>
</enumeratedValueSet>
<enumeratedValueSet variable="Vision">
<value value="2"/>
<value value="5"/>
<value value="10"/>
</enumeratedValueSet>
</experiment>
<experiment name="Model1A-6" repetitions="20" runMetricsEveryStep="true">
<setup>setup</setup>
<go>go</go>
<timeLimit steps="700"/>
<metric>count doctors with [totalDose > 0 ]</metric>
<enumeratedValueSet variable="initial-number-doctors">
<value value="20"/>
<value value="50"/>
<value value="100"/>
<value value="200"/>
<value value="300"/>
</enumeratedValueSet>
<enumeratedValueSet variable="Vision">
<value value="2"/>
<value value="5"/>
<value value="10"/>
</enumeratedValueSet>
</experiment>
<experiment name="Model1B-1" repetitions="20" runMetricsEveryStep="true">
<setup>setup</setup>
<go>go</go>
<timeLimit steps="700"/>
<metric>count doctors with [totalDose > 0]</metric>
<metric>count persons with [totalDose > 0]</metric>
<enumeratedValueSet variable="initial-number-FirstResponders">
<value value="20"/>
<value value="50"/>
<value value="100"/>
<value value="200"/>
<value value="300"/>
</enumeratedValueSet>
<enumeratedValueSet variable="Vision">
<value value="2"/>
<value value="5"/>
<value value="10"/>
</enumeratedValueSet>
<enumeratedValueSet variable="initial-number-SMEs">
<value value="10"/>
<value value="20"/>
<value value="50"/>
</enumeratedValueSet>
</experiment>
<experiment name="19.5.xRun100" repetitions="20" runMetricsEveryStep="false">
<setup>setup</setup>
<go>go</go>
<timeLimit steps="700"/>
<metric>count doctors with [totalDose > 0 ]</metric>
<enumeratedValueSet variable="initial-number-FirstResponders">
<value value="200"/>
</enumeratedValueSet>
<enumeratedValueSet variable="initial-number-SMEs">
<value value="50"/>
</enumeratedValueSet>
<enumeratedValueSet variable="Communication">
<value value="10"/>
</enumeratedValueSet>
</experiment>
<experiment name="19.5.xRun101" repetitions="20" runMetricsEveryStep="false">
<setup>setup</setup>
<go>go</go>
<timeLimit steps="700"/>
<metric>count doctors with [totalDose > 0 ]</metric>
<enumeratedValueSet variable="initial-number-FirstResponders">
<value value="200"/>
</enumeratedValueSet>
<enumeratedValueSet variable="initial-number-SMEs">
<value value="50"/>
</enumeratedValueSet>
<enumeratedValueSet variable="Communication">
<value value="10"/>
</enumeratedValueSet>
</experiment>
<experiment name="19.5.xRun102" repetitions="20" runMetricsEveryStep="false">
<setup>setup</setup>
<go>go</go>
<timeLimit steps="700"/>
<metric>count doctors with [pycor > 1 ]</metric>
<enumeratedValueSet variable="initial-number-FirstResponders">
<value value="200"/>
</enumeratedValueSet>
<enumeratedValueSet variable="initial-number-SMEs">
<value value="50"/>
</enumeratedValueSet>
<enumeratedValueSet variable="Communication">
<value value="10"/>
</enumeratedValueSet>
</experiment>
<experiment name="19.5.xRun103" repetitions="20" runMetricsEveryStep="false">
<setup>setup</setup>
<go>go</go>
<timeLimit steps="900"/>
<metric>count doctors with [pycor > 11 ]</metric>
<enumeratedValueSet variable="initial-number-FirstResponders">
<value value="200"/>
</enumeratedValueSet>
<enumeratedValueSet variable="initial-number-SMEs">
<value value="50"/>
</enumeratedValueSet>
<enumeratedValueSet variable="Communication">
<value value="10"/>
</enumeratedValueSet>
</experiment>
<experiment name="19.5.xRun104" repetitions="20" runMetricsEveryStep="false">
<setup>setup</setup>
<go>go</go>
<timeLimit steps="900"/>
<metric>count doctors with [pycor > 11 ]</metric>
<metric>count persons with [pycor > 11 ]</metric>
<enumeratedValueSet variable="initial-number-FirstResponders">
<value value="20"/>
<value value="50"/>
<value value="100"/>
<value value="200"/>
<value value="300"/>
<value value="400"/>
<value value="500"/>
</enumeratedValueSet>
<enumeratedValueSet variable="initial-number-SMEs">
<value value="10"/>
</enumeratedValueSet>
<enumeratedValueSet variable="Communication">
<value value="2"/>
<value value="5"/>
<value value="10"/>
<value value="20"/>
</enumeratedValueSet>
</experiment>
<experiment name="19.5.xRun105" repetitions="20" runMetricsEveryStep="false">
<setup>setup</setup>
<go>go</go>
<timeLimit steps="900"/>
<metric>count doctors with [pycor > 11 ]</metric>
<metric>count persons with [pycor > 11 ]</metric>
<enumeratedValueSet variable="initial-number-FirstResponders">
<value value="20"/>
<value value="50"/>
<value value="100"/>
<value value="200"/>
<value value="300"/>
<value value="400"/>
<value value="500"/>
</enumeratedValueSet>
<enumeratedValueSet variable="initial-number-SMEs">
<value value="20"/>
</enumeratedValueSet>
<enumeratedValueSet variable="Communication">
<value value="2"/>
<value value="5"/>
<value value="10"/>
<value value="20"/>
</enumeratedValueSet>
</experiment>
<experiment name="19.5.xRun106" repetitions="20" runMetricsEveryStep="false">
<setup>setup</setup>
<go>go</go>
<timeLimit steps="900"/>
<metric>count doctors with [pycor > 11 ]</metric>
<metric>count persons with [pycor > 11 ]</metric>
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<setup>setup</setup>
<go>go</go>
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<metric>count doctors with [pycor > 11 ]</metric>
<metric>count persons with [pycor > 11 ]</metric>
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<setup>setup</setup>
<go>go</go>
<timeLimit steps="900"/>
<metric>count doctors with [pycor > 11 ]</metric>
<metric>count persons with [pycor > 11 ]</metric>
<enumeratedValueSet variable="initial-number-FirstResponders">
<value value="20"/>
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<enumeratedValueSet variable="Communication">
<value value="2"/>
<value value="5"/>
<value value="10"/>
<value value="20"/>
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<experiment name="19.5.xRun109" repetitions="20" runMetricsEveryStep="false">
<setup>setup</setup>
<go>go</go>
<timeLimit steps="900"/>
<metric>count doctors with [pycor > 11 ]</metric>
<metric>count persons with [pycor > 11 ]</metric>
<enumeratedValueSet variable="initial-number-FirstResponders">
<value value="20"/>
<value value="50"/>
<value value="100"/>
<value value="200"/>
<value value="300"/>
<value value="400"/>
<value value="500"/>
</enumeratedValueSet>
<enumeratedValueSet variable="initial-number-SMEs">
<value value="50"/>
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<enumeratedValueSet variable="Communication">
<value value="2"/>
<value value="5"/>
<value value="10"/>
<value value="20"/>
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<experiment name="19.3.xDiag-3.Run110" repetitions="20" runMetricsEveryStep="false">
<setup>setup</setup>
<go>go</go>
<timeLimit steps="900"/>
<metric>count doctors with [pycor > 11 ]</metric>
<enumeratedValueSet variable="initial-number-FirstResponders">
<value value="20"/>
<value value="50"/>
<value value="100"/>
<value value="200"/>
<value value="300"/>
<value value="400"/>
<value value="500"/>
</enumeratedValueSet>
<enumeratedValueSet variable="Communication">
<value value="2"/>
<value value="5"/>
<value value="10"/>
<value value="20"/>
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<experiment name="19.3.xDiag-3.Run111" repetitions="20" runMetricsEveryStep="false">
<setup>setup</setup>
<go>go</go>
<timeLimit steps="900"/>
<metric>count doctors with [pycor > 11 ]</metric>
<enumeratedValueSet variable="initial-number-FirstResponders">
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<value value="50"/>
<value value="100"/>
<value value="200"/>
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<value value="500"/>
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