PPHPC - Predator-Prey for High-Performance Computing

PPHPC - Predator-Prey for High-Performance Computing preview image

1 collaborator

Default-person Nuno Fachada (Author)

Tags

predator prey model 

Tagged by Nuno Fachada over 8 years ago

Visible to everyone | Changeable by the author
Model was written in NetLogo 5.1.0 • Viewed 394 times • Downloaded 31 times • Run 0 times
Download the 'PPHPC - Predator-Prey for High-Performance Computing' modelDownload this modelEmbed this model

Do you have questions or comments about this model? Ask them here! (You'll first need to log in.)


Info tab cannot be displayed because of an encoding error

Comments and Questions

Please start the discussion about this model! (You'll first need to log in.)

Click to Run Model

globals [
  sheep-count     ;; how many sheep are there?
  wolves-count    ;; how many wolves are there?
  grass-alive     ;; how much alive grass there is
  sheep-energy    ;; mean sheep energy
  wolves-energy   ;; mean wolf energy
  grass-countdown ;; mean grass countdown
  maxwho          ;; youngest agent to date
]

;; Sheep and wolves are both breeds of turtle.
breed [sheep a-sheep]   ;; sheep is its own plural, so we use "a-sheep" as the singular.
breed [wolves wolf]
turtles-own [energy]    ;; both wolves and sheep have energy
patches-own [countdown] ;; patches have a countdown variable for grass

;; Initialization

to setup

  clear-all
  
  ;; Set random number generator seed
  random-seed rngseed
  
  ;; show-params

  ask patches [ 
    ifelse random 2 = 1 [
      set countdown 1 + random grass-regrowth-time ;; initialize grass grow clocks randomly
      set pcolor brown
    ] [
      set countdown 0
      set pcolor green 
    ]
  ]

  set-default-shape sheep "sheep"
  create-sheep initial-number-sheep  ;; create the sheep, then initialize their variables
  [
    set color white
    set size 1  ;; easier to see
    set label-color blue - 2
    set energy 1 + random (2 * sheep-gain-from-food)
    setxy random-pxcor random-pycor
  ]
  set-default-shape wolves "wolf"
  create-wolves initial-number-wolves  ;; create the wolves, then initialize their variables
  [
    set color black
    set size 1  ;; easier to see
    set energy 1 + random (2 * wolf-gain-from-food)
    setxy random-pxcor random-pycor
  ]

  gather-stats

  display-labels
  reset-ticks
end 

;; Simulation loop

to go

  ;; 1 - Agent movement
  ask turtles [
    move
    set energy energy - 1
    if energy < 1 [ die ] ;; if energy dips below zero, die
  ]
  
  ;; 2 - Grow food
  ask patches [ grow-grass ]
  
  ;; 3 - Act
  ask turtles [
    ifelse is-a-sheep? self [
      ;; is a sheep
      eat-grass
      reproduce sheep-reprod-thres sheep-reprod-prob
    ] [ 
      ;; is a wolf
      catch-sheep
      reproduce wolf-reprod-thres wolf-reprod-prob
    ]
  ]

  ;; 4 - Gather stats
  gather-stats
  display-labels
  
  ;; New iteration
  tick
  
  ;; Time to stop?
  if ticks = iterations [ stop ]
end 

to gather-stats
  set maxwho max [who] of sheep
  set sheep-count count sheep
  set wolves-count count wolves
  set grass-alive count patches with [countdown <= 0]
  if show-energy? [
    ifelse sheep-count > 0
      [ set sheep-energy mean [energy] of sheep ]
      [ set sheep-energy 0 ]
    ifelse wolves-count > 0
      [ set wolves-energy mean [energy] of wolves ]
      [ set wolves-energy 0 ]
    set grass-countdown mean [countdown] of patches
  ]
end 

to move  ;; turtle procedure
  let direction random 5
  if direction < 4 [
    set heading 90 * direction
    fd 1
  ]
end 

to eat-grass  ;; sheep procedure
  ;; sheep eat grass, turn the patch brown
  if pcolor = green [
    set pcolor brown
    ask patch-here [set countdown grass-regrowth-time]
    set energy energy + sheep-gain-from-food  ;; sheep gain energy by eating
  ]
end 

to reproduce [ reprod-thres reprod-prob ] ;; turtle procedure
  if energy > reprod-thres [
    if random 100 < reprod-prob [  ;; throw "dice" to see if you will reproduce
      let energy_offspring int (energy / 2)
      set energy energy - energy_offspring    ;; divide energy between parent and offspring
      hatch 1 [ ;; hatch an offspring which stays in the same place
        set energy energy_offspring  ] 
    ]
  ]
end 

to catch-sheep  ;; wolf procedure
  let prey one-of sheep-here with [ who <= maxwho ]  ;; grab a random sheep, cannot be a newly born sheep
  if prey != nobody                             ;; did we get one?  if so,
    [ ask prey [ die ]                          ;; kill it
      set energy energy + wolf-gain-from-food ] ;; get energy from eating
end 

to grow-grass  ;; patch procedure
  ;; countdown on brown patches: if reach 0, grow some grass
  if pcolor = brown [
    set countdown countdown - 1
    if countdown <= 0
      [ set pcolor green
        set countdown 0 ]
  ]
end 

to display-labels
  if show-energy? [
    ask wolves [ set label energy ]
    ask sheep [ set label energy ]
  ]
end 

to show-params
  print word "                INIT_SHEEP = " initial-number-sheep
  print word "      SHEEP_GAIN_FROM_FOOD = " sheep-gain-from-food
  print word " SHEEP_REPRODUCE_THRESHOLD = " sheep-reprod-thres
  print word "      SHEEP_REPRODUCE_PROB = " sheep-reprod-prob
  print word "               INIT_WOLVES = " initial-number-wolves
  print word "     WOLVES_GAIN_FROM_FOOD = " wolf-gain-from-food
  print word "WOLVES_REPRODUCE_THRESHOLD = " wolf-reprod-thres
  print word "     WOLVES_REPRODUCE_PROB = " wolf-reprod-prob
  print word "             GRASS_RESTART = " grass-regrowth-time
  print word "                    GRID_X = " world-width
  print word "                    GRID_Y = " world-height
  print word "                     ITERS = " iterations
end 

; Copyright 1997 Uri Wilensky. All rights reserved.
; Copyright 2015 Nuno Fachada. All rights reserved.
; The full copyright notice is in the Information tab.

There is only one version of this model, created over 8 years ago by Nuno Fachada.

Attached files

File Type Description Last updated
PPHPC - Predator-Prey for High-Performance Computing.png preview Preview for 'PPHPC - Predator-Prey for High-Performance Computing' over 8 years ago, by Nuno Fachada Download

This model does not have any ancestors.

This model does not have any descendants.