; ADD ALL GLOBAL VARIABLES HERE (things like the forest and policy variables)
household-number ; number of households, default=250
extraction-efficiency
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; the model has two breeds:
breed [households household]
breed [celebrities celebrity]
; Variables owned by agent instances
households-own [
extraction
rule-followed
celebrities-own [
extraction
rule-followed
;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
;;;;; SETUP PROCEDURES ;;;;;
;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
set household-number 250
; ADD GLOBAL VARIABLE INITIALISATIONS HERE
ask patches [ set pcolor green ]
setup-households
reset-ticks
;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
;;;;; GO PROCEDURES ;;;;;
;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
; go procedure to drive model dynamics
if (ticks > 1000) [stop]
; ADD GO PROCEDURE CODE HERE
;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
;;;;; SETUP SUBMODELS ;;;;;
;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
to setup-households
; create the given number of households
create-households household-number [
; cosmetics first
set color blue
set size 0.5
set shape “circle”
; ADD HOUSEHOLD VARIABLE INITIALISATIONS HERE
if (network-type = “small world”) [
setup-small-network
if (network-type = “preferential attachement”) [
setup-preferential-network
; CHANGE SOME HOUSEHOLDS TO CELEBRITIES HERE (and maybe change their colour, shape and size)
;;; Sub-model to create small-world network connections between households ;;;
to setup-small-network
;move to an unoccupied space near the centre
ask households [
let alone true
while [alone] [
let empty-patches neighbors with [not any? turtles-here]
ifelse any? empty-patches [
move-to one-of empty-patches
set alone false
move-to one-of neighbors
;first create all neighbourly connections
ask households [
if count (other households in-radius 2) > 1 [
let my-neighbors min-n-of 2 (other households in-radius 2) [distance myself] ;other households in-radius 1
create-links-with my-neighbors [
set color grey
set thickness 0
;then select r of the links to be randomly reassigned
ask n-of (r * count links) links [
ask one-of both-ends [
ask one-of my-links [ die ]
create-link-with one-of other households [
set color red
set thickness 0.1
; set the size of households to reflect their social connectedness
ask households [set size ((count link-neighbors) / 8)]
;;; Sub-model to create preferential attachement network between households ;;;
to setup-preferential-network
;first create a single link between two households
ask one-of households [ create-link-with one-of other households [set color grey
set thickness 0.1] ]
; the create all the other linkes
ask households [
let partner self
while [partner = self] [
set partner [one-of both-ends] of one-of links
if partner != self [
create-link-with partner [set color grey]
move-to partner
ask households [set size ((count link-neighbors) / 8)]
;; the number 3 here is arbitrary; more repetitions slows down the
;; model, but too few gives poor layouts
repeat 5 [
;; the more turtles we have to fit into the same amount of space,
;; the smaller the inputs to layout-spring we’ll need to use
let factor sqrt count turtles
;; numbers here are arbitrarily chosen for pleasing appearance
layout-spring turtles links (1 / factor) (7 / factor) (1 / factor)
display ;; for smooth animation
;; don’t bump the edges of the world
let x-offset max [xcor] of turtles + min [xcor] of turtles
let y-offset max [ycor] of turtles + min [ycor] of turtles
;; big jumps look funny, so only adjust a little each time
set x-offset limit-magnitude x-offset 0.1
set y-offset limit-magnitude y-offset 0.1
ask turtles [ setxy (xcor – x-offset / 2) (ycor – y-offset / 2) ]
to-report limit-magnitude [number limit]
if number > limit [ report limit ]
if number < (- limit) [ report (- limit) ]
report number
;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
;;;;; GO SUBMODELS ;;;;;
;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
to select-extraction-level [self-interest]
; set the extraction levels for rule following and breaking
let rule-ext rule-extraction-level * extraction-efficiency
let break-ext break-extraction-level * extraction-efficiency
; check neighbors fraction that followed the rule last time
let neighbor-choice 0
; check if the households has a neighbor
ifelse (count link-neighbors > 0) [
set neighbor-choice mean [rule-followed] of link-neighbors
; calculate the rule threshold
let rule-threshold ((rule * rule-adherence * (1 – self-interest)) + (neighbor-choice * (1.0 – rule-adherence) * (1 – self-interest))) ; represents propensity to follow rule
; probabilistically decide to follow the rule or not
ifelse (random-float 1 < rule-threshold) [
set rule-followed 1
set color blue
set extraction rule-ext
set rule-followed 0
set color red
set extraction break-ext
; if not set the neighbor element to act the same as the rule
set rule-followed 1
set color blue
set extraction rule-ext
; ADD GO SUB-MODELS HERE
GRAPHICS-WINDOW
network-type
network-type
"small world" "preferential attachement"
celebrity-number
celebrity-number
HORIZONTAL
HORIZONTAL
rule-extraction-level
rule-extraction-level
HORIZONTAL
break-extraction-level
break-extraction-level
HORIZONTAL
rule-adherence
rule-adherence
HORIZONTAL
## WHAT IS IT?
This model is intended to demonstrate the importance of social networks in common pool resource management. It represents a village of households that extract firewood from a surrounding forest. The forest resource is renewable and the households actions are determined by three factors: their need for firewood, their desire for leisure time, and their wish to adhere to social norms or institutional rules.
## 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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