如何在NetLogo中识别一群乌龟?

时间:2019-03-25 10:00:20

标签: netlogo

有人让乌龟识别一群其他乌龟,即一群乌龟聚集在一起吗?由于半径为50的海龟可能是完全不同的(整个地方而不是彼此在床旁),因此以下操作无效:

if count turtles in-radius 20 >= 50 [show "There's a crowd"]

目前,我将人群定义为50多只彼此并列的海龟。

1 个答案:

答案 0 :(得分:1)

如果您想要连续连接的海龟,则可以从模型库(这里是一个版本)中修改补丁集群示例。使用此设置:

globals [ groups>50 ]

turtles-own [ 
  my-group
]

to setup
  ca
  crt 500 [
    set my-group -99
    set shape "square"
    move-to one-of patches
  ]  
  reset-ticks
end

这些辅助功能:

to identify-groups
  let group-counter 0

  loop [
    let seed one-of turtles with [ my-group = -99 ]

    if seed = nobody [
      stop
    ]
    ask seed [
      set my-group group-counter
      set group-counter group-counter + 1
      spread-group
    ]
  ]
end  

to spread-group
  set label my-group
  set color my-group * 10 + 5 
  ask ( turtles-on neighbors ) with [ my-group = -99 ] [
    set my-group [my-group] of myself
    spread-group
  ]
end

identify-groups运行一个循环,该循环标识连续斑块上的所有海龟,并在这些组中散布唯一的my-group值。

然后,您可以获得唯一的组值,并使用filter仅返回具有一定阈值龟数的组号:

to go 
  identify-groups

  let unique-groups sort remove-duplicates [my-group] of turtles

  set groups>50 filter [ i -> count turtles with [ my-group = i ] >= 50  ] unique-groups

  print groups>50
end